Systematic review of deep learning image analyses for the diagnosis and monitoring of skin disease

SP Choy, BJ Kim, A Paolino, WR Tan, SML Lim… - NPJ Digital …, 2023 - nature.com
Skin diseases affect one-third of the global population, posing a major healthcare burden.
Deep learning may optimise healthcare workflows through processing skin images via …

Recent Advances in Large Language Models for Healthcare

K Nassiri, MA Akhloufi - BioMedInformatics, 2024 - mdpi.com
Recent advances in the field of large language models (LLMs) underline their high potential
for applications in a variety of sectors. Their use in healthcare, in particular, holds out …

Best Practices for Research in Virtual and Augmented Reality in Dermatology

V Muralidharan, MM Tran, L Barrios, B Beams… - Journal of Investigative …, 2024 - Elsevier
Virtual reality (VR) and augmented reality (AR) technologies have advanced rapidly in
recent years. These cutting-edge technologies provide dermatology researchers, educators …

Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review

P Smith, CE Johnson, K Haran, F Orcales… - Current Dermatology …, 2024 - Springer
Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review | Current
Dermatology Reports Skip to main content SpringerLink Account Menu Find a journal …

S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

A Kim, N Saharkhiz, E Sizikova, M Lago… - … Conference on Medical …, 2024 - Springer
Abstract Development of artificial intelligence (AI) techniques in medical imaging requires
access to large-scale and diverse datasets for training and evaluation. In dermatology …

[HTML][HTML] Chat generative pre-trained transformer's performance on dermatology-specific questions and its implications in medical education

J Behrmann, EM Hong, S Meledathu… - Journal of Medical …, 2023 - jmai.amegroups.org
Background: Large language models (LLMs) like chat generative pre-trained transformer
(ChatGPT) have gained popularity in healthcare by performing at or near the passing …