Validation of the Quality Analysis of Medical Artificial Intelligence (QAMAI) tool: a new tool to assess the quality of health information provided by AI platforms.

BACKGROUND: The widespread diffusion of Artificial Intelligence (AI) platforms is revolutionizing how health-related information is disseminated, thereby highlighting the need for tools to evaluate the quality of such information. This study aimed to propose and validate the Quality Assessment of Medical Artificial Intelligence (QAMAI), a tool specifically designed to assess the quality of health information provided by AI platforms. METHODS: The QAMAI tool has been developed by a panel of experts following guidelines for the development of new questionnaires. A total of 30 responses from ChatGPT4, addressing patient queries, theoretical questions, and clinical head and neck surgery scenarios were assessed by 27 reviewers from 25 academic centers worldwide. Construct validity, internal consistency, inter-rater and test-retest reliability were assessed to validate the tool. RESULTS: The validation was conducted on the basis of 792 assessments for the 30 responses given by ChatGPT4. The results of the exploratory factor analysis revealed a unidimensional structure of the QAMAI with a single factor comprising all the items that explained 51.1% of the variance with factor loadings ranging from 0.449 to 0.856. Overall internal consistency was high (Cronbach's alpha = 0.837). The Interclass Correlation Coefficient was 0.983 (95% CI 0.973-0.991; F (29,542) = 68.3; p < 0.001), indicating excellent reliability. Test-retest reliability analysis revealed a moderate-to-strong correlation with a Pearson's coefficient of 0.876 (95% CI 0.859-0.891; p < 0.001). CONCLUSIONS: The QAMAI tool demonstrated significant reliability and validity in assessing the quality of health information provided by AI platforms. Such a tool might become particularly important/useful for physicians as patients increasingly seek medical information on AI platforms.

Advancements in diagnosing oral potentially malignant disorders: leveraging Vision transformers for multi-class detection.

OBJECTIVES: Diagnosing oral potentially malignant disorders (OPMD) is critical to prevent oral cancer. This study aims to automatically detect and classify the most common pre-malignant oral lesions, such as leukoplakia and oral lichen planus (OLP), and distinguish them from oral squamous cell carcinomas (OSCC) and healthy oral mucosa on clinical photographs using vision transformers. METHODS: 4,161 photographs of healthy mucosa, leukoplakia, OLP, and OSCC were included. Findings were annotated pixel-wise and reviewed by three clinicians. The photographs were divided into 3,337 for training and validation and 824 for testing. The training and validation images were further divided into five folds with stratification. A Mask R-CNN with a Swin Transformer was trained five times with cross-validation, and the held-out test split was used to evaluate the model performance. The precision, F1-score, sensitivity, specificity, and accuracy were calculated. The area under the receiver operating characteristics curve (AUC) and the confusion matrix of the most effective model were presented. RESULTS: The detection of OSCC with the employed model yielded an F1 of 0.852 and AUC of 0.974. The detection of OLP had an F1 of 0.825 and AUC of 0.948. For leukoplakia the F1 was 0.796 and the AUC was 0.938. CONCLUSIONS: OSCC were effectively detected with the employed model, whereas the detection of OLP and leukoplakia was moderately effective. CLINICAL RELEVANCE: Oral cancer is often detected in advanced stages. The demonstrated technology may support the detection and observation of OPMD to lower the disease burden and identify malignant oral cavity lesions earlier.

Computerized Three-Dimensional Analysis: A Novel Method to Assess the Effect of Open-Door Laminoplasty.

INTRODUCTION: The three-dimensional elaboration of morphological data derived from computed tomography (CT) and magnetic resonance imaging (MRI) scans generates virtual anatomical reconstructions. Here, we propose a novel protocol to analyze the postoperative results of open-door laminoplasty to evaluate differences in the volume of the spinal canal. The protocol uses geometric models in patients with cervical degenerative myelopathy before versus after cervical laminoplasty. MATERIALS AND METHODS: Mimics and 3-Matic software (Materialise, Leuven, BE) programs were used to segment anatomical structures and create polygon meshes of spines. Patients with cervical spondylotic myelopathy were enrolled. The models obtained before and after laminoplasty were superimposed by using a global registration function. The magnitude of divergence was quantified by using the root-mean-square error (RMSE). RESULTS: Using this novel protocol, we were able to map the differences in the volume of the spinal canal before laminoplasty and after laminoplasty and to quantify its magnitude and calculate the volumes. DISCUSSION AND CONCLUSIONS: The development of a procedure to measure the space within the cervical bone walls using geometric parameters represents a new, powerful method to verify the results obtained by cervical laminoplasty. Further research horizons may include the routine use of virtual models in surgical planning for this procedure.

Ultrasound-guided core needle biopsy compared with open biopsy: a new diagnostic approach to salivary gland enlargement in Sjögren's syndrome?

OBJECTIVE: Persistent (≥2 months) major salivary gland enlargement in primary SS (pSS) patients is a well-known sign of possible involvement by B cell lymphoma. The study aimed to evaluate the diagnostic accuracy and safety of US-guided core needle biopsy (CNB) of major salivary glands compared with open surgical biopsy. METHODS: Prospective pSS patients (cases) with clinically persistent salivary gland enlargement underwent US-guided CNB and were compared with retrospective pSS patients (controls) submitted to open surgical biopsy. The features analysed were pre-biopsy clinical and laboratory findings, adequacy of the material for histology and diagnostic-rendered and biopsy-related complications (reported by the patient with a questionnaire and clinically verified). RESULTS: Thirteen cases underwent US-guided CNB: in nine, biopsy was performed on the parotid gland and in four it was performed on the submandibular gland. Sufficient material was obtained for pathological diagnosis in all samples. The final diagnoses were 5 (38.5%) B cell lymphoma, 1 (7.7%) lymphoepithelial sialadenitis, 4 (30.7%) other sialadenitis (granulomatous consistent with sarcoidosis, IgG4-related disease, chronic sclerosing, diffuse chronic) and 3/13 (23.1%) miscellaneous lesions. Thirteen controls underwent open surgical biopsy of the parotid. In one, inadequate material was obtained, while in 12 (92.3%) the pathologic diagnoses were 4 (33.3%) B cell lymphoma, 2 (16.7%) lymphoepithelial sialadenitis, 4 (33.3%) uncertain lymphoproliferative lesions and 2 (16.7%) miscellaneous lesions. Six cases (46.1%) reported six transient complications and 12/13 (92.3%) controls had 2 persistent and 14 transient complications. CONCLUSION: US-guided CNB represents a novel, clinically relevant and safe approach for the management of pSS patients with parotid or submandibular persistent enlargement.

Temporomandibular Joint Arthrocentesis and Microfragmented Adipose Tissue Injection for the Treatment of Internal Derangement and Osteoarthritis: A Randomized Clinical Trial.

PURPOSE: Internal derangement and osteoarthritis are the most common degenerative temporomandibular joint diseases and initial treatment for such conditions relies on arthrocentesis. Microfragmentation of adipose tissue has been proven in orthopedic literature to represent a more effective method to preserve stem cells, but no application has ever been reported in the temporomandibular joint. The purpose of this randomized clinical trial is to compare standard treatment conducted by injecting hyaluronic acid after the procedure to the new treatment relying upon microfragmented adipose tissue injection using the Lipogems technology. MATERIALS AND METHODS: A randomized clinical trial was designed enrolling 20 patients in the control group receiving the standard treatment and 20 patients in the experimental group receiving microfragmented adipose tissue obtained through the Lipogems technology after arthrocentesis. Two main outcomes were defined, pain (visual analogic scale) and function (maximum interincisal opening). Both were measured in the immediate preoperative time, and 10 days, 1 month, and 6 months after the procedure. RESULTS: In both groups, pain reduction and mouth opening significantly improved compared with the preoperative situation (P = .001). At 6-month follow-up, there was an almost statistically significant reduction of pain compared with preoperative visual analogic scale (P = .0546) and a statistically significant improvement of mouth opening (P = .0327). Overall, statistical analyses showed that the experimental group had a statistically significant superiority in the success rate of the procedure compared with the control group (P = .018). CONCLUSIONS: Preliminary results of this clinical trial show that the injection of microfragmented adipose tissue can significantly improve outcomes of pain and function compared with the standard treatment and encourage to pursue research on this topic. Further studies with a longer follow-up time are needed to evaluate the clinical stability of the achieved improvement in pain and function.

Scoping Zygomaticomaxillary Complex Fractures With the Eyes of Virtual Reality: Operative Protocol and Proposal of a Modernized Classification.

INTRODUCTION: Fractures of the zygomaticomaxillary complex (ZMC) represent an extremely heterogeneous group of injuries to the midfacial skeleton. Traditionally, the diagnosis of such fractures was based on 2-dimensional radiograms and, more recently, on volumetric computed tomography (CT) scans, while the treatment was exclusively based on the surgeon's experience. Many classification attempts have been made in the past, but no paper has taken into account the importance of virtual surgical planning (VSP) in proving a modernized classification. The authors propose a classification based on the use of VSP which can guide the surgeon to identify the optimal reduction method and reproduce it in the operating room through the use of navigation. METHODS: Patients with ZMC fractures were collected to create a study model. The VSP was used to generate 3-dimensional models of fractures. Fractured segments were duplicated and digitally put in the optimal reduction position. Repositioned fragments were overlapped to their original preoperative counterparts and exported to the surgical navigator to be navigated. Planned virtual reduction was overlaid to postoperative CT scan to assess the accuracy of reduction, explored using color maps and the calculation of root mean square error. RESULTS: For all patients, the application of VSP was successfully accomplished. High accuracy was confirmed between the planned virtual reduction and the postoperative CT scan. A 5-item classification based on VSP is proposed. All patients were included in the presented subclasses. CONCLUSIONS: The adoption of virtual planning in ZMC fractures allows for an improved study of the displacement of the fracture and might indicate to the surgeons the required maneuvers to achieve optimal reduction. The presented proposal of classification might be an aid to simplify the choice of the most appropriate reduction method and might provide a deeper insight into the morphologic characteristics of fractures.

Computer-Guided In-House Cranioplasty: Establishing a Novel Standard for Cranial Reconstruction and Proposal of an Updated Protocol.

BACKGROUND: Restoring the ideal geometry of the skull vault can be a challenging task. This is especially true for complex cases when cranial reconstruction is associated with concomitant cranial resection in a one-stage procedure. Oftentimes, cranioplasty designing and production are delegated to external companies, with a significant increase in time and cost to fabricate an alloplastic implant. This case series collects and critically examines previous experiences in the field of in-house cranial reconstruction providing an updated protocol to establish a novel standard for cranial reconstruction with a substantial reduction of costs. MATERIALS AND METHODS: A virtual craniotomy was digitally designed by the surgeon and transferred in the operating room using navigation and a surgical guide. Cranial reconstruction was planned using interpolation functions, recreating the ideal shape of the skull vault. Molds were designed, and 3D printed to intra-operatively shape polymethyl methacrylate (PMMA) according to the pre-operative plan. For validating the accuracy of reconstruction, as well as the restoration of the appropriate skull thickness, software-encoded color maps and root-mean-square error (RMSE), were calculated. RESULTS: All surgeries were uneventful. No adverse reactions to PMMA were observed. Accuracy of the procedure was validated, showing a submillimetric deviation from the original planning and a plate thickness value similar to the adjoining bone. All steps of design and production were performed by the surgical team, and costs were seven to ten times less than the past. CONCLUSION: We discussed and improved previous reports in the field of computer-guided in-house cranioplasty, particularly when complex one-stage resective and reconstructive procedures are planned. The use of three-dimensional analyses provides a validation of the accuracy of the resulting cranial reconstruction. The authors hope that the results might inspire other colleagues to consider computer-guided in-house cranioplasty, giving surgeons the mastery of each planning phase with a substantial decrease in costs.

One-Stage Computer-Guided Customized Management of Skeletal Asymmetry by Concomitant Proportional Condylectomy and Orthognathic Surgery in Patients With Unilateral Condylar Hyperplasia.

PURPOSE: Facial asymmetry associated with unilateral condylar hyperplasia can benefit from condylectomy, which aims to arrest the pathologic condylar growth and restore an appropriate posterior height. However, there are several cases in which condylar hyperplasia is combined with various dentofacial deformities, for which joint surgery has to be accompanied by concomitant orthognathic surgery. The literature is relatively poor of examples in which virtual planning for orthognathic surgery includes the evaluation of condylectomy, which is often manually performed. The aim of this study was to present and discuss a workflow for 1-stage computer-guided customized management of skeletal asymmetry by simultaneous condylectomy and orthognathic surgery. MATERIALS AND METHODS: Five patients were enrolled in this study from 2018 to 2019. All patients underwent combined virtual planning of orthognathic surgery and condylectomy. Virtual surgery was translated into real surgical coordinates using patient-specific surgical guides and custom-designed osteosynthesis plates. RESULTS: All surgical procedures were uneventful, and in all patients, virtual planning was successfully brought into the operating room with high accuracy, as confirmed by superimposition analyses. Symmetrization of the face and achievement of correct occlusion were observed in all cases. CONCLUSIONS: The presented protocol is a reliable solution for the combined planning of orthognathic surgery and condylectomy. Virtual planning, surgical guides, and custom-designed plates allow computerized simulations to be replicated in the real patient.

General surgery and COVID-19: review of practical recommendations in the first pandemic phase.

BACKGROUND: In March, 2020, the World Health Organization declared COVID-19 a pandemic. The absence of previous knowledge of COVID-19 has made decision-making difficult for all in health care, including surgical departments. We reviewed the management recommendations for surgical activity and changes to surgical practice, identifying concordances and discrepancies, based on the literature published in the early phase of the pandemic. METHOD: We searched the electronic datasets, PubMed Database, Google, and Google Scholar, using the keywords "SARS-CoV-2", "COVID-19", "surgery", "recommendations", "guideline", and "triage". The search was limited to the first 2 months after the pandemic began and was closed on May 6, 2020. RESULTS: Twenty papers were included in the analysis and their recommendations are divided into the following categories: 1. general aspects, such as maintaining the safety of health personnel and indications for surgery. 2. The preoperative phase, with recommendations about activating different care pathways for COVID-19 positive patients. 3. The operative phase, with recommendations about activating safety measures for aerosol-generating procedures. 4. The postoperative phase, with recommendations for managing operating theatres and patient transfers. CONCLUSION: The recommendations proposed in the revised documents are considered good practices aimed at keeping patients and healthcare professionals safe. However, these recommendations must be contextualized in each individual hospital.

The Impact of COVID-19 on Plastic Surgery Residency Training.

Nowadays didactic and surgical activities for residents in the surgery field are less and less due to an increasing burden of documentation and "non-educational work." Considering the current lockdown due to the COVID-19 pandemic, it has never been so important to find different ways to allow residents to improve their knowledge. We asked all plastic and esthetic surgery residents in our country to fill out a questionnaire to investigate changes in their didactical activity and analyze problems about their professional growth in the last few months. From the results of such questionnaires, we found that most of the residents feel the decrease in surgical activities during this time is a detrimental factor for their training and that even if all the schools have changed their didactical activities no school has introduced the use of virtual simulators to compensate for the decrease in surgical practice. Actually, the majority of residents use webinars to keep updated, stating that such technologies are useful but not sufficient to analyze plastic surgery topics in depth during COVID-19 lockdown. Virtual interactive tools are well known in different clinical and surgical specialties, and they are considered as a valid support, but it seems that in plastic surgery they are not so used. According to the most recent studies about residents' didactical program, we have investigated the potential of Anatomage Table in combination with Touch Surgery application as physical and mental aids to bypass the decreased number and kind of surgical interventions performed in this particular time. Anatomage is an academic user-friendly touch screen table; it is used by both medical students and residents to learn human anatomy and to master surgical anatomy. Touch Surgery is an application available on smartphones and tablets that gives the possibility to watch real and virtually designed surgical videos, accompanied by explanatory comments on the surgical phases; they are interactive and give the possibility to check what you have learned through tests administered after virtual classes. In our opinion, these tools represent reliable solutions to improve plastic residents' training, mostly during the COVID-19 pandemic. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

An Updated Protocol for the Treatment of Condylar Hyperplasia: Computer-Guided Proportional Condylectomy.

PURPOSE: To present an updated protocol for proportional condylectomy in which virtual surgical planning and 3-dimensional (3D) printing allow precise definition of the osteotomy level. MATERIALS AND METHODS: Three-dimensional mirroring was performed to generate a virtual replica of the healthy hemimandible, which was subsequently aligned and overlapped with the actual mandible to estimate the level for condylectomy. A custom-fitted 3D printed surgical guide was modeled for the condylar head to reproduce the virtual plan in the surgical scenario. The updated protocol for computer-guided condylectomy was applied to 7 patients. RESULTS: All patients were followed for 12 months. Surface deviation color maps showed a strong correspondence between the virtually calculated condylectomy and the surgical outcome achieved with the aid of the surgical guide. No cases of condylar hyperplasia recurrence were observed. CONCLUSION: An updated protocol based on accurate 3D analysis was performed by virtual surgical planning and 3D printing. Virtual surgical planning allows the precise definition of the level of condylectomy, and custom-made 3D printed cutting guides are useful to reproduce virtual measurements during surgical maneuvers.

Fungus ball of the maxillary sinus: Retrospective study of 48 patients and review of the literature.

BACKGROUND: Maxillary fungus ball (FB) is the most frequent paranasal localization. OBJECTIVE: To review clinical presentation, surgery and results of treatment in our series of patients with maxillary FB. To review the literature concerning treatment of maxillary FB. PATIENTS AND METHODS: 48 patients with a diagnosis of maxillary FB were treated with endoscopic sinus surgery (ESS) alone or in association with external approaches. Before surgery all patients received computed tomography (CT), nasal endoscopy and dental examination. All the patients were followed for 1 year after surgery. Studies concerning surgical treatment of maxillary FB from 2006 were reviewed. RESULTS: The mean age of patients was 53.6 ±â€¯11.9 years. 20 patients (41.6%) did not present any symptom, 19 patients (39.7%) had nasal symptoms, 3 patients (6.2%) had facial pain, 6 patients (12.5%) had a combination of both. Endoscopic examination was positive in 31 patients (64.6%), 17 patients (35.4%) showed negative findings. Logit regression model demonstrated that clinical symptoms contribute to the prediction of a positive endoscopic examination. 25 patients (52.1%) presented odontogenic factors. Complete clinical and radiological resolution of FB was observed in 46 patients (95.8%). CONCLUSIONS: Comparing our sample to the studies reviewed we may concluded that odontogenic factors were frequently reported and should be treated at the same time of maxillary FB. ESS alone or in association with external approaches is an effective treatment for patients with maxillary FB.

Volumetric Analysis of Fat Injection by Computerized Tomography in Orthognathic Surgery: Preliminary Report on a Novel Volumetric Analysis Process for the Quantification of Aesthetic Results.

BACKGROUND: Integrated approaches to orthognathic surgery should include accurate volumetric evaluation of the skull and soft tissues. In patients with dentofacial deformities, the most frequent aesthetic deficits are attributable to an underdevelopment of hard and soft tissues. Traditional osteotomic procedures often fail to guarantee a stability of soft tissues over time. For this reason, in selecting a surgical strategy, the surgeon should consider not only traditional osteotomies, but also soft-tissue improving procedures, such as lipofilling. Preoperative surgical planning systems, such as the Virtual surgical planning (VSP) protocol, are based mainly on skeletal movement prediction. Quantitative estimation of soft-tissue modifications is not part of common clinical practice. Most commonly, the evaluation of soft-tissue modifications after orthognathic procedures is instead performed by clinical qualitative means.The purpose of this study was to describe a novel computed tomography (CT)-based volumetric analysis process for the quantification of injected autologous adipose tissue in patients who have undergone simultaneous orthognathic and lipofilling procedures. METHODS: This was a retrospective review of consecutive patients who underwent combined orthognathic surgery and lipofilling from June 2016 to May 2017 for malocclusion with functional and aesthetic impairments. Preoperative planning included clinical evaluation and virtual osteotomy planning according to the VSP protocol. The volume of fat to be injected was estimated clinically by comparing virtual renderings with preoperative clinical photographs. The surgical technique involved Le Fort I and sagittal split mandibular osteotomies, combined with autologous fat injection in the malar and perioral regions. Postoperative evaluation was performed with a novel imaging process based on CT image segmentation to quantify the exact volume of injected fat. Skeletal stability was also evaluated at 3 months. RESULTS: Sixteen patients were enrolled in the study, all females, with a mean age of 24.5 years (range, 18-36 years). The mean difference between the fat tissue injected and that quantified postoperatively was 6.01 cm. All patients had clinically satisfactory facial convexity, with complete restoration of the cheekbone contour, at 3 months. CONCLUSION: This study introduces a novel CT-image based technique to quantitatively assess the contribution of injected fat to the postoperative soft-tissue volume increase after combined orthognathic surgery with autologous lipofilling. In the future, this CT-based volumetric analysis technique could be the gold standard for evaluating facial lipofilling outcomes, and for assessing clinical aesthetic outcomes based on the injected volume of fat.

Role of glioma stem cells in promoting tumor chemo- and radioresistance: A systematic review of potential targeted treatments.

BACKGROUND: Gliomas pose a significant challenge to effective treatment despite advancements in chemotherapy and radiotherapy. Glioma stem cells (GSCs), a subset within tumors, contribute to resistance, tumor heterogeneity, and plasticity. Recent studies reveal GSCs' role in therapeutic resistance, driven by DNA repair mechanisms and dynamic transitions between cellular states. Resistance mechanisms can involve different cellular pathways, most of which have been recently reported in the literature. Despite progress, targeted therapeutic approaches lack consensus due to GSCs' high plasticity. AIM: To analyze targeted therapies against GSC-mediated resistance to radio- and chemotherapy in gliomas, focusing on underlying mechanisms. METHODS: A systematic search was conducted across major medical databases (PubMed, Embase, and Cochrane Library) up to September 30, 2023. The search strategy utilized relevant Medical Subject Heading terms and keywords related to including "glioma stem cells", "radiotherapy", "chemotherapy", "resistance", and "targeted therapies". Studies included in this review were publications focusing on targeted therapies against the molecular mechanism of GSC-mediated resistance to radiotherapy resistance (RTR). RESULTS: In a comprehensive review of 66 studies on stem cell therapies for SCI, 452 papers were initially identified, with 203 chosen for full-text analysis. Among them, 201 were deemed eligible after excluding 168 for various reasons. The temporal breakdown of studies illustrates this trend: 2005-2010 (33.3%), 2011-2015 (36.4%), and 2016-2022 (30.3%). Key GSC models, particularly U87 (33.3%), U251 (15.2%), and T98G (15.2%), emerge as significant in research, reflecting their representativeness of glioma characteristics. Pathway analysis indicates a focus on phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin (mTOR) (27.3%) and Notch (12.1%) pathways, suggesting their crucial roles in resistance development. Targeted molecules with mTOR (18.2%), CHK1/2 (15.2%), and ATP binding cassette G2 (12.1%) as frequent targets underscore their importance in overcoming GSC-mediated resistance. Various therapeutic agents, notably RNA inhibitor/short hairpin RNA (27.3%), inhibitors (e.g., LY294002, NVP-BEZ235) (24.2%), and monoclonal antibodies (e.g., cetuximab) (9.1%), demonstrate versatility in targeted therapies. among 20 studies (60.6%), the most common effect on the chemotherapy resistance response is a reduction in temozolomide resistance (51.5%), followed by reductions in carmustine resistance (9.1%) and doxorubicin resistance (3.0%), while resistance to RTR is reduced in 42.4% of studies. CONCLUSION: GSCs play a complex role in mediating radioresistance and chemoresistance, emphasizing the necessity for precision therapies that consider the heterogeneity within the GSC population and the dynamic tumor microenvironment to enhance outcomes for glioblastoma patients.

Generative Adversarial Networks (GANs) in the Field of Head and Neck Surgery: Current Evidence and Prospects for the Future-A Systematic Review.

Background: Generative Adversarial Networks (GANs) are a class of artificial neural networks capable of generating content such as images, text, and sound. For several years already, artificial intelligence algorithms have shown promise as tools in the medical field, particularly in oncology. Generative Adversarial Networks (GANs) represent a new frontier of innovation, as they are revolutionizing artificial content generation, opening opportunities in artificial intelligence and deep learning. Purpose: This systematic review aims to investigate what the stage of development of such technology is in the field of head and neck surgery, offering a general overview of the applications of such algorithms, how they work, and the potential limitations to be overcome in the future. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed in conducting this study, and the PICOS framework was used to formulate the research question. The following databases were evaluated: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Scopus, ClinicalTrials.gov, ScienceDirect, and CINAHL. Results: Out of 700 studies, only 9 were included. Eight applications of GANs in the head and neck region were summarized, including the classification of craniosynostosis, recognition of the presence of chronic sinusitis, diagnosis of radicular cysts in panoramic X-rays, segmentation of craniomaxillofacial bones, reconstruction of bone defects, removal of metal artifacts from CT scans, prediction of the postoperative face, and improvement of the resolution of panoramic X-rays. Conclusions: Generative Adversarial Networks may represent a new evolutionary step in the study of pathology, oncological and otherwise, making the approach to the disease much more precise and personalized.