{"title":"Artificial intelligence in dermatology: Bridging the gap in patient care and education","authors":"","doi":"10.1016/j.clindermatol.2024.06.009","DOIUrl":"10.1016/j.clindermatol.2024.06.009","url":null,"abstract":"<div><div>The application of artificial intelligence (AI) in education and clinical medicine has shown tremendous growth. The primary explanation for this application is AI's ability to integrate efficient and tailored methods for screening, using diagnostics, and enhancement of patient and medical education. AI's wide scope of utility can be seen through its ability to improve efficiency in clinical settings through scheduling, charting, diagnostics, and screening tools, ultimately allowing physicians to spend more focused time on patient care. AI has also had a tangible impact on promoting patient education through its ability to provide patients with preliminary information regarding their diagnoses before followup and to further discussion with their physician. AI's application in medical education is promising due to its ability to provide immediate and interactive feedback to the learner, which allows for meaningful reinforcement of knowledge. AI can therefore be recognized as a tool that can provide incredible enhancement in the areas of clinical medicine and education, with meaningful opportunities for integration and application.</div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141466622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence and skin melanoma","authors":"","doi":"10.1016/j.clindermatol.2024.06.015","DOIUrl":"10.1016/j.clindermatol.2024.06.015","url":null,"abstract":"<div><div>Melanoma is the deadliest skin cancer, presenting typically with changing pigmented areas and usually treated with surgical removal. As benign cutaneous pigmented lesions are very common in all populations, it can be challenging to identify which areas should be cut out or left untreated. Delayed treatment in melanoma increases the risk of death, but it is not possible to remove all lesions. Dermatoscopy uses polarized light and can be used to help distinguish melanomas from benign lesions. Dermatoscopy images with a confirmed diagnosis can be used to develop artificial intelligence (AI) as a medical device (AIaMD) tool. This contribution discusses the utilization of AI in melanoma management and describes an AIaMD tool used in current UK clinical practice on more than 80,000 patients. This is a springboard for discussing the scope, risks, and mitigations for future AI use by all clinicians involved in managing people with melanoma.</div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141466623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of the pediatric dermatologist in childhood bullying prevention and intervention: A call to action","authors":"Kripa Raj Ahuja MS , Peter A. Lio MD","doi":"10.1016/j.clindermatol.2024.07.005","DOIUrl":"10.1016/j.clindermatol.2024.07.005","url":null,"abstract":"","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141632850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kripa Ahuja MS , Anika Shah BS , Madeline Coleman BS , Peter Lio MD
{"title":"Analysis of ichthyosis subreddit provides greater insight into disease","authors":"Kripa Ahuja MS , Anika Shah BS , Madeline Coleman BS , Peter Lio MD","doi":"10.1016/j.clindermatol.2024.07.009","DOIUrl":"10.1016/j.clindermatol.2024.07.009","url":null,"abstract":"","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141723229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The state of artificial intelligence for systemic dermatoses: Background and applications for psoriasis, systemic sclerosis, and much more","authors":"","doi":"10.1016/j.clindermatol.2024.06.019","DOIUrl":"10.1016/j.clindermatol.2024.06.019","url":null,"abstract":"<div><div>Artificial intelligence (AI) has been steadily integrated into dermatology, with AI platforms already attempting to identify skin cancers and diagnose benign versus malignant lesions. Although not as widely known, AI programs have also been utilized as diagnostic and prognostic tools for dermatologic conditions with systemic or extracutaneous involvement, especially for diseases with autoimmune etiologies. We have provided a primer on commonly used AI platforms and the practical applicability of these algorithms in dealing with psoriasis, systemic sclerosis, and dermatomyositis as a microcosm for future directions in the field. With a rapidly changing landscape in dermatology and medicine as a whole, AI could be a versatile tool to support clinicians and enhance access to care.</div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141442200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans","authors":"","doi":"10.1016/j.clindermatol.2024.06.020","DOIUrl":"10.1016/j.clindermatol.2024.06.020","url":null,"abstract":"<div><div>The integration of teledermatology and artificial intelligence (AI) marks a significant advancement in dermatologic care. This study examines the synergistic interplay between these two domains, highlighting their collective impact on enhancing the accuracy, accessibility, and efficiency of teledermatologic services. Teledermatology expands dermatologic care to remote and underserved areas, and AI technologies show considerable potential in analyzing dermatologic images and performing various tasks involved in teledermatology consultations. Such integration facilitates rapid, precise diagnoses, personalized treatment plans, and data-driven insights. Our explorative study involved designing a GPT-based chatbot named “Dr. DermBot” and exploring its performance in a teledermatologic consultation process. The design phase focused on the chatbot's ability to conduct consultations autonomously. The subsequent testing phase assessed its performance against the backdrop of current teledermatologic practices, exploring the potential of AI and chatbots to simulate and potentially enhance teledermatologic health care. Our study demonstrates the promising future of combining teledermatology with AI. It also brings to light ethical and legal concerns, including the protection of patient data privacy and adherence to regulatory standards. The union of teledermatology and AI not only aims to enhance the precision of teledermatologic diagnoses but also broadens the accessibility of dermatologic services to previously underserved populations, benefiting patients, health care providers, and the overall health care system.</div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141466629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving data participation for the development of artificial intelligence in dermatology","authors":"","doi":"10.1016/j.clindermatol.2024.06.013","DOIUrl":"10.1016/j.clindermatol.2024.06.013","url":null,"abstract":"<div><div>Artificial intelligence (AI) has the potential to significantly impact many aspects of dermatology. The visual nature of dermatology lends itself to innovations in this space. The robustness of AI algorithms depends on the quality, quantity, and variety of data on which it is trained and tested. Image collections can suffer from inconsistencies in image quality, underrepresentation of various anatomic sites and skin tones, and lack of benign counterparts leading to underperformance of algorithms in contexts other than one in which it is developed. Access to care, trust, rights, control, and transparency all play roles in the willingness of patients and health care providers and systems to collect, provide, and share data. Opportunities to improve data participation for the development of AI include the establishment of data hubs and public algorithms, federated learning strategies, development of renumeration ecosystems for patients and systems, and development of criteria and mechanisms for transparency.</div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141442199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Grace Y. Duan MD , Zi-Yi Choo MD , Dima Kenj Halabi BS , Adena E. Rosenblatt MD, PhD , Arlene M. Ruiz de Luzuriaga MD, MPH, MBA
{"title":"Characteristics and career outcomes of dermatology-focused medical student research grant recipients","authors":"Grace Y. Duan MD , Zi-Yi Choo MD , Dima Kenj Halabi BS , Adena E. Rosenblatt MD, PhD , Arlene M. Ruiz de Luzuriaga MD, MPH, MBA","doi":"10.1016/j.clindermatol.2024.07.015","DOIUrl":"10.1016/j.clindermatol.2024.07.015","url":null,"abstract":"<div><div>Although several dermatology-focused research grants for medical students exist, studies have yet to evaluate the outcomes of grant recipients, such as entry into dermatology residency and academic careers. We have described the characteristics of recipients of dermatology-focused medical student research grants and outcomes, including entry into dermatology residency and academic careers, and we have focused on seven dermatology-focused national and regional research grants eligible for US medical students. Data were obtained from publicly available online sources for grants from 2004 to 2023. Of the 235 medical student recipients of dermatology research grants between 2004 and 2023, 45.5% attended one of the top 20 medical schools funded by National Institutes of Health research grants. Of those who completed medical school, 68.3% advanced to a dermatology residency (n = 123/180). Among board-certified dermatologists, 44.7% held an academic position (n = 34/76); among those who attended a top 20 medical school, 50% held an academic position (n = 23/46) compared with 36.7% who did not (n = 11/30). Limitations of this study include selection bias and incomplete data availability. Medical student research grants allow students to thoughtfully engage in dermatology research early in medical education. These grants may facilitate entry into dermatology residency and academic careers and lead to continued research endeavors.</div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141888631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Revolutionizing teledermatology: Exploring the integration of AI, including GPT chatbots for AI-driven anamnesis, diagnosis, and treatment plans: Correspondence","authors":"Hinpetch Daungsupawong MD , Viroj Wiwanitkit MD","doi":"10.1016/j.clindermatol.2024.07.006","DOIUrl":"10.1016/j.clindermatol.2024.07.006","url":null,"abstract":"","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141619496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}