Artificial Intelligence in Facial Plastics and Reconstructive Surgery.

Artificial intelligence (AI), particularly computer vision and large language models, will impact facial plastic and reconstructive surgery (FPRS) by enhancing diagnostic accuracy, refining surgical planning, and improving post-operative evaluations. These advancements can address subjective limitations of aesthetic surgery by providing objective tools for patient evaluation. Despite these advancements, AI in FPRS has yet to be fully integrated in the clinic setting and faces numerous challenges including algorithmic bias, ethical considerations, and need for validation. This article discusses current and emerging AI technologies in FPRS for the clinic setting, providing a glimpse of its future potential.

Facial Implants in Male Rejuvenation.

Many different methods achieve male facial augmentation. Arranged from shorter- to longer-term results, these methods include filler, fat/tissue grafting, fat/tissue transposition, and alloplastic implants. This study solely reviews allografts, which provide the most predictable hard-tissue augmentation. An array of alloplasts will be discussed in this study including chin, cheek, mandibular angle, frontal, and temporal implants. The most common and severe complications will also be explored with preventative and treatment algorithms.

Fat Grafting the Male Face.

There are many developmental sexual dimorphisms of the human face, and thereby differences in aging based on sex. Sensitivity regarding the nature of the changes that are unique to the male face as well as understanding men's unique aesthetic goals will allow the skilled practitioner to tailor rejuvenating treatments accordingly. Fat grafting of the male face has not been extensively described but is an excellent tool for facial rejuvenation either as an adjunct or a stand-alone procedure. Each treatment area demands different techniques and special attention to avoid unintentional feminization.

Male Deep-Plane Face and Neck Lifting: Advanced and Customized Techniques.

In this article, the authors describe their preferred advanced deep-plane techniques and modifications that have universally improved outcomes and durability in both men and women. Performing a proper extended deep-plane facelift and neck lift avoids the need to camouflage scars and stigmata of lifts seen in superficial musculoaponeurotic system plication and other techniques. In the author's experience, vertical vector deep-plane surgery is more durable, natural, and less reliant on lipofilling and volume addition. The subtleties of examination and analysis, surgical technique, clinical outcomes, and gender-specific considerations in the reconstruction of gonial and cervicomental angles, deep planar volumetric reduction, facial volumetric change, limited skin delamination, and revision techniques are discussed.

Artificial intelligence in maxillofacial and facial plastic and reconstructive surgery.

PURPOSE OF REVIEW: To provide a current review of artificial intelligence and its subtypes in maxillofacial and facial plastic surgery including a discussion of implications and ethical concerns. RECENT FINDINGS: Artificial intelligence has gained popularity in recent years due to technological advancements. The current literature has begun to explore the use of artificial intelligence in various medical fields, but there is limited contribution to maxillofacial and facial plastic surgery due to the wide variance in anatomical facial features as well as subjective influences. In this review article, we found artificial intelligence's roles, so far, are to automatically update patient records, produce 3D models for preoperative planning, perform cephalometric analyses, and provide diagnostic evaluation of oropharyngeal malignancies. SUMMARY: Artificial intelligence has solidified a role in maxillofacial and facial plastic surgery within the past few years. As high-quality databases expand with more patients, the role for artificial intelligence to assist in more complicated and unique cases becomes apparent. Despite its potential, ethical questions have been raised that should be noted as artificial intelligence continues to thrive. These questions include concerns such as compromise of the physician-patient relationship and healthcare justice.

3D evaluation model of facial aesthetics based on multi-input 3D convolution neural networks for orthognathic surgery.

BACKGROUND: Quantitative evaluation of facial aesthetics is an important but also time-consuming procedure in orthognathic surgery, while existing 2D beauty-scoring models are mainly used for entertainment with less clinical impact. METHODS: A deep-learning-based 3D evaluation model DeepBeauty3D was designed and trained using 133 patients' CT images. The customised image preprocessing module extracted the skeleton, soft tissue, and personal physical information from raw DICOM data, and the predicting network module employed 3-input-2-output convolution neural networks (CNN) to receive the aforementioned data and output aesthetic scores automatically. RESULTS: Experiment results showed that this model predicted the skeleton and soft tissue score with 0.231 ± 0.218 (4.62%) and 0.100 ± 0.344 (2.00%) accuracy in 11.203 ± 2.824 s from raw CT images. CONCLUSION: This study provided an end-to-end solution using real clinical data based on 3D CNN to quantitatively evaluate facial aesthetics by considering three anatomical factors simultaneously, showing promising potential in reducing workload and bridging the surgeon-patient aesthetics perspective gap.

Facial Soft Tissue Lesions in Children.

Facial soft tissue lesions in children are often classified based on their structure or cellular origin and can be benign or malignant. This review focuses on common facial soft tissue lesions in children, their clinical morphology, natural history, and medical and surgical management, with an emphasis on those considerations unique to soft tissue lesions present at this anatomic site.

Ergonomics in facial plastic and reconstructive surgery.

PURPOSE OF REVIEW: Understanding effective ergonomic interventions is crucial for enhancing occupational health and career longevity. There is a paucity of clear ergonomics guidelines in facial plastic and reconstructive surgery (FPRS), placing practitioners at high risk of work-related musculoskeletal disorders (WMSDs) and their consequences. RECENT FINDINGS: There is mounting evidence that FPRS specialists are at increased risk of WMSDs as compared with the public and other surgical specialties. Numerous studies have demonstrated that implementation of ergonomics principles in surgery decreases WMSDs. Furthermore, WMSDs are reported as early as the first year of surgical residency, marking the importance of early intervention. SUMMARY: Fatigue and physical injuries among surgeons occur more often than expected, particularly during complex, extended procedures that necessitate maintaining a constant posture. FPRS procedure often place surgeons into procrustean positions. Thus, integrating ergonomic practices into the practice of FPRS is essential for reducing WMSDs.

Applications of artificial intelligence in facial plastic and reconstructive surgery: a systematic review.

PURPOSE OF REVIEW: Arguably one of the most disruptive innovations in medicine of the past decade, artificial intelligence is dramatically changing how healthcare is practiced today. A systematic review of the most recent artificial intelligence advances in facial plastic surgery is presented for surgeons to stay abreast of the latest in our field. RECENT FINDINGS: Artificial intelligence applications developed for use in perioperative patient evaluation and management, education, and research in facial plastic surgery are highlighted. Selected themes include automated facial analysis with landmark detection, automated facial palsy grading and emotional assessment, generation of artificial facial profiles for testing and model training, automated postoperative patient communications, and improving ethnicity-sensitive facial morphometry norms. Inherent bias can exist in artificial intelligence models, and care must be taken to utilize algorithms trained with diverse datasets. SUMMARY: Artificial intelligence tools are helping clinicians provide more standardized, objective, and efficient care to their patients. Increasing surgeon awareness of available tools, and their widespread implementation into clinical workflows are the next frontier. Ethical considerations must also shape the adoption of any artificial intelligence functionality. As artificial intelligence applications become a fixture in medicine, surgeons must employ them effectively to stay at the vanguard of modern medicine.

Submental Artery Perforator Flap Drained Solely With the Vena Comitans of Facial Artery.

BACKGROUND: The submental artery perforator flap (SMAPF) is an alternative to reconstruct oral and maxillofacial defects secondary to oral cancers. However, vascular anomalies or surgical damage often lead to vascular crises or harvest failure. Our clinical findings suggest that the vena comitans of the facial artery (cFA) very commonly exist. This study aimed to investigate the reliability of the cFA as a sole venous reflux route for the SMAPF. METHOD: The patients were from the Department of Oral and Maxillofacial Surgery, Hospital of Stomatology, Jilin University. All patients were treated for oral cancer between January 2016 and September 2022. Seventeen SMAPFs were successfully raised to reconstruct the postoperative defects, of which 7 had cFA as the sole reflux route. RESULTS: The size of the flaps varied from 4.0×3.0 cm to 12.0×3.0 cm. All flaps survived. Patients were followed from 1 month to 5 years. Satisfactory restoration of contour and functional outcomes were achieved at the recipient sites. The scars were well camouflaged in the submental region. No local or regional recurrence was detected during follow-up. Patients had an overall 2-year survival rate of 100% with no suspected flaps-related recurrence. CONCLUSIONS: The cFA as the sole venous reflux route for SMAPF is reliable for flap harvesting and is applicable for immediate defect reconstruction secondary to cancer resection.

FUE as the first surgical option for hair reconstruction on scalp and facial skin grafts - case report.

Post-combustion alopecia presents a complex medical challenge with implications spanning dermatological and psychiatric disorders. The use of hair transplantation has proven to be a significant improvement for this condition. However, the current management involves various techniques, each with advantages and disadvantages. Progressive skin expansions, surgical scar reduction, and skin grafts containing hair follicles yield unsatisfactory aesthetic outcomes and have limited applicability as a first-line treatment for fire victims. So far, follicular unit extraction (FUE) has proven to be one of the most versatile procedures in such cases, having the potential to restore a natural anatomical profile closely resembling the pre-traumatic appearance that led to the traumatic alopecia. Additionally, it contributes to the improvement of associated psychiatric comorbidities, facilitating proper social reintegration and enhancing overall quality of life. This report focuses on a case of post-combustion alopecia and severe facial distortion due to third-degree burns resulting in severe psychiatric comorbidities, which benefited from a proper social reintegration and improvement of the quality of life after three consecutive sessions of FUE for scalp and eyebrow hair.

Ethnic variation in lower face anthropometry on facial computed tomography scans for patients seeking facial feminization surgery.

BACKGROUND: Facial feminization surgery (FFS) is the most common form of facial gender-affirming surgery. One of the current knowledge gaps is the understanding of differences among racial groups in baseline craniofacial norms for transgender and nonbinary patients. METHODS: All patients who sought consultation for FFS and underwent craniofacial computed tomography (CT) scans at a single institution between 2018 and 2023 were included. Patients who underwent previous facial surgeries were excluded. Chart reviews were conducted for patient characteristics, including race, age, hormone therapy duration, and prior gender-affirming surgeries. Racial categorizations included White, Latinx, African American, or Asian. Patients with other or multiracial identities were excluded. Lower face measurements were derived from preoperative facial CT scans. Comparative analyses were performed on all measurements among the racial groups. RESULTS: In this study, 204 patients were included with an average age of 32.0 ± 10.2 years and a median hormone therapy duration of 2.0 years. The notable differences among the racial groups were: 1. Zygomatic width was the largest in Asian patients (13.5 ± 0.6 cm) compared to all other racial groups (p = 0.03), 2. Nasolabial angle was the smallest in African American patients (82.5 ± 13.1 degrees, p < 0.001), 3. Lower face height was the largest in African American patients (6.9 ± 0.7 cm, p < 0.001), and 4. Lateral mandibular flare was the largest in African American patients (0.4 ± 0.1 cm) and the smallest in Latinx patients (0.2 ± 0.1 cm, p < 0.001). CONCLUSIONS: Specific target areas of FFS should be carefully considered to account for possible baseline ethnic differences. Relative facial proportions may also be a more salient surgical planning tool in transgender and gender nonbinary patients rather than absolute measurements alone.

Assessment of Variability in Free Flap Color Match to Facial Skin by Donor Site and Race.

OBJECTIVES: To use portable colorimetry to quantify color differences between facial skin and potential three head and neck microvascular free tissue transfer (MFTT) donor sites-radial forearm (RF), anterolateral thigh (ALT), and fibula (FF)-and compare these differences by pigmentation of the donor site skin and self-identified race. METHODS: In this cross-sectional cohort study, healthy volunteers consented to handheld colorimeter measurements at the three potential MFTT donor sites (RF, ALT, FF) to quantify color match to the facial skin using the CIE color space (DeltaE). The comparison of ipsilateral to contralateral cheek served as control for measurements. Cross-sectional measurements in healthy volunteers were then compared to measurements obtained in postoperative head and neck MFTT patients. RESULTS: DeltaE measurements were obtained for 128 healthy controls and 24 postoperative patients (N = 152). With increasing lightness (decreased pigmentation) of the skin at the donor site, the color match significantly worsened (higher DeltaE) across all potential MFTT donor sites (all p < 0.05). DeltaE from healthy controls closely approximated postoperative color match measurements in patients who underwent cervicofacial MFTT (DeltaE RF: 5.3 vs. 6.0, p = 0.432; DeltaE ALT: 6.2 vs. 6.4, p = 0.822; DeltaE FF: 6.0 vs. 6.4, p = 0.806). CONCLUSION: Patients with decreased skin pigmentation who are undergoing head and neck MFTT may experience worse color discrepancy between cervicofacial skin and the transferred skin paddle than those with more pigmented skin. Portable colorimetry may identify patients who could benefit from interventions such as dermis-resected free tissue reconstruction with skin grafting to improve postoperative appearance. LEVEL OF EVIDENCE: 3 Laryngoscope, 134:3581-3586, 2024.