The Impact of Artificial Intelligence on Health Equity in Dermatology

FA Rinderknecht, L Nwandu, R Daneshjou… - Current Dermatology …, 2024 - Springer
Abstract Purpose of this Review Artificial intelligence (AI) refers to a technology in which a
machine is able to perform a task simulating human intelligence. This review aims to …

AI-enhanced Collective Intelligence: The State of the Art and Prospects

H Cui, T Yasseri - arXiv preprint arXiv:2403.10433, 2024 - arxiv.org
The current societal challenges exceed the capacity of human individual or collective effort
alone. As AI evolves, its role within human collectives is poised to vary from an assistive tool …

[HTML][HTML] Skin Cancer Diagnosis Using VGG16 and Transfer Learning: Analyzing the Effects of Data Quality over Quantity on Model Efficiency

K Djaroudib, P Lorenz, R Belkacem Bouzida… - Applied Sciences, 2024 - mdpi.com
The recent increase in the prevalence of skin cancer, along with its significant impact on
individuals' lives, has garnered the attention of many researchers in the field of deep …

Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation

CY Li, KJ Chang, CF Yang, HY Wu, W Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Multi-modal large language models (MLLMs) have been given free rein to explore exciting
medical applications with a primary focus on radiology report generation. Nevertheless, the …

Grading facial aging: Comparing the clinical assessments made by three dermatologists with those obtained by an AI‐based scoring system that analyses selfie …

W Wang, F Flament, H Wang, C Ye… - … Journal of Cosmetic …, 2024 - Wiley Online Library
Objective The objective of this study is to assess the correspondence, in live conditions,
between clinical gradings of facial aging signs by three dermatologists and those afforded …

Human-AI collectives produce the most accurate differential diagnoses

N Zöller, J Berger, I Lin, N Fu, J Komarneni… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial intelligence systems, particularly large language models (LLMs), are increasingly
being employed in high-stakes decisions that impact both individuals and society at large …

Underserved populations and health equity in dermatology: Digital medicine and the role of artificial intelligence

EC Gwillim, S Azzawi, AR Aigen - Clinics in Dermatology, 2024 - Elsevier
We have reviewed the current literature focused on the role of artificial intelligence (AI) for
underserved populations and health equity in dermatology. Studies evaluating the utility and …

人工智能在基层全科医生实践中的应用: 基于皮肤病诊断与病程管理的视角

刘环, 朱世飞, 陈法余, 王静华 - 中国全科医学, 2024 - chinagp.net
背景基层全科医生在皮肤病诊断和管理方面面临挑战, 凸显了对人工智能(AI)
辅助系统的迫切需求. AI 技术在提高诊疗效率中具有潜力, 但目前针对其在基层医疗实践中的 …

Unleashing the Power of Biosensors and Artificial Intelligence in Dermatology

D Haykal - Aesthetic Surgery Journal Open Forum, 2024 - academic.oup.com
In an era marked by exponential technological advancements, the convergence of
biosensors and artificial intelligence (AI) presents a transformative opportunity to …

[HTML][HTML] Telemedicine in Dermatology

MP Novoa-Candia, V Vela-Lopez, M Orduz-Robledo - 2024 - intechopen.com
Telemedicine is known as the practice of diagnosing and treating patients by medical
professionals from a distant location. In dermatology, telemedicine offers a transformative …