Clinics in dermatology最新文献_第9页

Ultrasonographic features of nonvascular complications of hyaluronic acid fillers: a retrospective study at a reference center for dermatologic ultrasonography 透明质酸填充剂非血管并发症的超声波特征：皮肤科超声波参考中心的回顾性研究。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.05.006

{"title":"Ultrasonographic features of nonvascular complications of hyaluronic acid fillers: a retrospective study at a reference center for dermatologic ultrasonography","authors":"","doi":"10.1016/j.clindermatol.2024.05.006","DOIUrl":"10.1016/j.clindermatol.2024.05.006","url":null,"abstract":"<div><div><span>Hyaluronic acid filler injections have been associated with early, temporary, and delayed-onset complications. High-resolution ultrasound with Doppler analysis has been increasingly used to detect and identify such complications. We comprehensively describe the most common ultrasonographic findings of nonvascular complications associated with hyaluronic acid filler injections. This retrospective, cross-sectional, observational study was conducted at a reference center for </span>dermatologic<span> ultrasound in Bogotá, Colombia. Ultrasound reports documented the ultrasonographic findings of nonvascular complications of hyaluronic acid filler injections. Fifty-two complications were documented in a cohort of 50 patients (women, 88%). The infraorbital region was the most common site affected (23%), followed by the nasolabial region (22%). The Tyndall effect was the most common complication (25% of all), followed by changes in rheology (21%) and pseudosarcoidal (foreign body granuloma) reaction (15%). The Tyndall effect stood out for its distinctive ultrasonographic characteristics. We discuss the ultrasonographic findings and pathogenesis of other complications, including filler migration, early hypersensitivity, aseptic abscess, overcorrection, and filler material interaction. The clinical presentation of hyaluronic acid filler complications can be confusing, delaying timely diagnosis and treatment. High-resolution ultrasound with Doppler analysis is a valuable tool for avoiding unnecessary treatments and ensuring timely diagnosis and treatment.</span></div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":"42 5","pages":"Pages 538-546"},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141064908","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}

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Higher detection of melanoma on the back in married men 已婚男性背部黑色素瘤的检出率更高

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.001

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Artificial intelligence for nonmelanoma skin cancer 人工智能治疗非黑色素瘤皮肤癌。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.016

{"title":"Artificial intelligence for nonmelanoma skin cancer","authors":"","doi":"10.1016/j.clindermatol.2024.06.016","DOIUrl":"10.1016/j.clindermatol.2024.06.016","url":null,"abstract":"<div><div>Nonmelanoma skin cancers (NMSCs) are among the top five most common cancers globally. NMSC is an area with great potential for novel application of diagnostic tools including artificial intelligence (AI). In this scoping review, we aimed to describe the applications of AI in the diagnosis and treatment of NMSC. Twenty-nine publications described AI applications to dermatopathology including lesion classification and margin assessment. Twenty-five publications discussed AI use in clinical image analysis, showing that algorithms are not superior to dermatologists and may rely on unbalanced, nonrepresentative, and nontransparent training data sets. Sixteen publications described the use of AI in cutaneous surgery for NMSC including use in margin assessment during excisions and Mohs surgery, as well as predicting procedural complexity. Eleven publications discussed spectroscopy, confocal microscopy, thermography, and the AI algorithms that analyze and interpret their data. Ten publications pertained to AI applications for the discovery and use of NMSC biomarkers. Eight publications discussed the use of smartphones and AI, specifically how they enable clinicians and patients to have increased access to instant dermatologic assessments but with varying accuracies. Five publications discussed large language models and NMSC, including how they may facilitate or hinder patient education and medical decision-making. Three publications pertaining to the skin of color and AI for NMSC discussed concerns regarding limited diverse data sets for the training of convolutional neural networks. AI demonstrates tremendous potential to improve diagnosis, patient and clinician education, and management of NMSC. Despite excitement regarding AI, data sets are often not transparently reported, may include low-quality images, and may not include diverse skin types, limiting generalizability. AI may serve as a tool to increase access to dermatology services for patients in rural areas and save health care dollars. These benefits can only be achieved, however, with consideration of potential ethical costs.</div></div>","PeriodicalId":10358,"journal":{"name":"Clinics in dermatology","volume":"42 5","pages":"Pages 466-476"},"PeriodicalIF":2.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141455700","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}

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Artificial intelligence in dermatology: Bridging the gap in patient care and education 皮肤病学中的人工智能：缩小患者护理和教育方面的差距。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.009

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Artificial intelligence and skin melanoma 人工智能与皮肤黑色素瘤

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.015

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Legal implications of artificial intelligence in health care 医疗保健领域人工智能的法律影响。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.014

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The state of artificial intelligence for systemic dermatoses: Background and applications for psoriasis, systemic sclerosis, and much more 人工智能在系统性皮肤病中的应用现状：银屑病、系统性硬化症等疾病的背景与应用。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.019

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Characteristics and career outcomes of dermatology-focused medical student research grant recipients 以皮肤病学为重点的医学生研究补助金获得者的特征和职业成果。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.07.015

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":"42 5","pages":"Pages 547-556"},"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}

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Improving data participation for the development of artificial intelligence in dermatology 提高数据参与度，促进皮肤科人工智能的发展。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.013

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Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans 变革远程皮肤病学：探索人工智能的整合，包括 GPT 聊天机器人用于人工智能驱动的病史分析、诊断和治疗计划。

IF 2.3 4区医学

Clinics in dermatology Pub Date : 2024-09-01 DOI: 10.1016/j.clindermatol.2024.06.020

{"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":"42 5","pages":"Pages 492-497"},"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}

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