Artificial Intelligence

A JAMA Dermatology study found expert dermatologists achieved the highest multiclass diagnostic accuracy when tested against AI across a realistic spectrum of skin lesions.

Dermatologists are increasingly integrating AI into clinical workflows, though many still use it primarily as a search tool rather than a true care-support system.

Around 80% of clinical trials face enrollment delays, and for rare genodermatoses with small patient pools, AI-generated synthetic control arms may offer a practical path to adequately powered studies.

Trainees identified legal, ethical, and reliability concerns as key barriers to integrating AI into dermatology practice.

A newly defined Nodularity Index, measuring tumor depth relative to width, independently predicted melanoma-specific survival.

At SBS 2026, Karan Lal, MD, and Mohammad Goldust, MD, reveal how social media and AI reshape dermatology trust and care.

AI could revolutionize vitiligo management with enhanced diagnostics, automated tracking, and personalized treatment forecasting, improving patient care and outcomes.

Experts explore the integration of AI in atopic dermatitis management, highlighting benefits, risks, and the need for cautious implementation in patient care.

Renata Block, DMSc, MMS, PA-C, explores how AI could enhance dermatology, improving skin cancer diagnosis while emphasizing the vital role of human clinicians in patient care.

An AI-powered handheld spectroscopy device is showing promise in improving melanoma detection accuracy among primary care physicians, addressing critical gaps in early diagnosis and timely referral.

Explore how dermatology PAs and NPs are transforming patient care through technology, advocacy, and peer education with Andrew Baker, MBA, MPAS, PA-C.

Matthew Bruno, PA-C, explores the transformative impact of AI at Maui Derm NP+PA Fall, emphasizing its benefits, ethical concerns, and the need for clinician engagement.

Thazin Aung, PhD, discusses AI's role in standardizing immune cell evaluation in melanoma, enhancing diagnostic consistency and clinical decision-making.

Almirall and Absci enhance their collaboration, leveraging AI to revolutionize drug discovery for challenging dermatological conditions and improve patient outcomes.

Oversight and endorsement from trusted clinicians were consistent patient requirements for integrating both AI and telemedicine.

AI revolutionizes skin care by personalizing product recommendations, enhancing customer satisfaction, and transforming dermatologist-patient interactions for better outcomes.

Dermatology has the opportunity of directing and leading AI use in the field, according to David Cotter, MD, PhD.

A first-of-its-kind study reveals artificial intelligence (AI)-driven insights on hair loss trends, highlighting the impact of genetics, hormones, and COVID-19 on alopecia.

Haut.AI has launched the SPF Truth Booth and SPF Protection Power List, using AI to promote sun safety and personalized patient insights.

Artificial Intelligence (AI) enhances early detection of high-risk cutaneous squamous cell carcinoma (cSCC) by integrating advanced histopathological assessments for improved patient outcomes.

SkinGPT by Haut.AI uses AI to visually simulate skin care results, empowering inclusive, personalized skin care and bridging clinical data with patient insight.

In her presentation at Fall Clinical NP/PA, Heather Gates, PA-C, shared how professionals can enhance their practice using AI and social media, fostering authenticity and patient trust in a digital age.