ABSTRACT
OBJECTIVE: The human temporal bone comprises more than 30 identifiable anatomical components. With the demand for precise image interpretation in this complex region, the utilization of artificial intelligence (AI) applications is steadily increasing. This systematic review aims to highlight the current role of AI in temporal bone imaging. DATA SOURCES: A Systematic Review of English Publications searching MEDLINE (PubMed), COCHRANE Library, and EMBASE. REVIEW METHODS: The search algorithm employed consisted of key items such as 'artificial intelligence,' 'machine learning,' 'deep learning,' 'neural network,' 'temporal bone,' and 'vestibular schwannoma.' Additionally, manual retrieval was conducted to capture any studies potentially missed in our initial search. All abstracts and full texts were screened based on our inclusion and exclusion criteria. RESULTS: A total of 72 studies were included. 95.8% were retrospective and 88.9% were based on internal databases. Approximately two-thirds involved an AI-to-human comparison. Computed tomography (CT) was the imaging modality in 54.2% of the studies, with vestibular schwannoma (VS) being the most frequent study item (37.5%). Fifty-eight out of 72 articles employed neural networks, with 72.2% using various types of convolutional neural network models. Quality assessment of the included publications yielded a mean score of 13.6 ± 2.5 on a 20-point scale based on the CONSORT-AI extension. CONCLUSION: Current research data highlight AI's potential in enhancing diagnostic accuracy with faster results and decreased performance errors compared to those of clinicians, thus improving patient care. However, the shortcomings of the existing research, often marked by heterogeneity and variable quality, underscore the need for more standardized methodological approaches to ensure the consistency and reliability of future data. LEVEL OF EVIDENCE: NA Laryngoscope, 2024.
ABSTRACT
The applications of artificial intelligence (AI) in temporal bone (TB) imaging have gained significant attention in recent years, revolutionizing the field of otolaryngology and radiology. Accurate interpretation of imaging features of TB conditions plays a crucial role in diagnosing and treating a range of ear-related pathologies, including middle and inner ear diseases, otosclerosis, and vestibular schwannomas. According to multiple clinical studies published in the literature, AI-powered algorithms have demonstrated exceptional proficiency in interpreting imaging findings, not only saving time for physicians but also enhancing diagnostic accuracy by reducing human error. Although several challenges remain in routinely relying on AI applications, the collaboration between AI and healthcare professionals holds the key to better patient outcomes and significantly improved patient care. This overview delivers a comprehensive update on the advances of AI in the field of TB imaging, summarizes recent evidence provided by clinical studies, and discusses future insights and challenges in the widespread integration of AI in clinical practice.
ABSTRACT
Objective: To assess the effect of new legislation on the dispensing of antimicrobials without prescription from pharmacies in Greece. Design: In-person survey. Setting: The study included 110 pharmacies in the greater Athens Metropolitan area. Methods: Volunteer collaborators visited 110 pharmacies in the greater Athens Metropolitan area in December 2021 and January 2022. They asked for either ciprofloxacin or amoxicillin-clavulanate acid (6:5 ratio) without providing a prescription, without simulating symptoms, and without offering justification or insisting. Fluoroquinolones have additional dispensing restrictions in Greece. Results were compared to a 2008 study. In 2020, legislation allowed the dispensing of antibiotics from pharmacies only with an electronic prescription, overriding the 1973 forbidding the dispensing of all medications without prescriptions. Results: All pharmacists refused to dispense ciprofloxacin without a prescription. Only 1 pharmacy dispensed amoxicillin-clavulanate without a prescription. Compared to the 2008 study, dispensing of amoxicillin-clavulanate without a prescription dropped from 100% in 2008 to 1% in 2021 and dispensing ciprofloxacin without a prescription dropped from 53% in 2008 to 0% in 2021. Conclusions: A new and enforced law that requires electronic prescribing led to a dramatic reduction of antibiotic dispensing without prescription compared to 12 years ago. Similar initiatives could help solve the problem of antibiotic consumption and resistance in Greece and elsewhere.
ABSTRACT
Despite the durable remissions induced by ICIs and targeted therapies in advanced melanoma and non-melanoma skin cancers, both subtypes usually relapse. Many systematic therapies have been tested to increase efficacy and delay relapse in ICIs, but their success has been limited. Due the feasibility of this approach, skin cancers have become the ideal platform for intralesional infusions of many novel agents, including oncolytic viruses (OVs). Talimogene laherparepvec (T-VEC) was the first FDA-approved OV for the treatment of unresectable melanoma and this virus opened up further potential for the use of this class of agents, especially in combination with ICIs, in order to achieve deeper and longer immune-mediated responses. However, the recently announced phase III MASTERKEY-265 trial was not able to confirm that the addition of T-VEC to pembrolizumab treatment improves progression-free or overall survival over the use of pembrolizumab alone. Despite these results, numerous studies are currently active, evaluating T-VEC and several other OVs as monotherapies or in regimens with ICIs in different subtypes of skin cancer. This overview provides a comprehensive update on the evolution status of all available OVs in melanoma and non-melanoma skin cancers and summarizes the more interesting preclinical findings, the latest clinical evidence, and the future insights in relation to the expected selective incorporation of some of these OVs into oncological practice.