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Weekly Update
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July 26, 2025 |
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Melanoma cases are rising globally, and early detection is key to better outcomes. Can AI help?
In a new episode of JAMA+ AI Conversations, JAMA+ AI Editor-in-Chief Roy Perlis, MD, talks with Daniel Lindsay, PhD, about his research comparing the addition of 3D total-body photography and sequential digital dermoscopy imaging to telehealth visits with usual care — and the cost-effectiveness of doing so.
Read the Editor’s Note and listen to the conversation.
Editor’s Picks in this week’s JAMA+ AI:
- A new AI system can automatically interpret echocardiograms. In a JAMA Original Investigation, researchers showed their system maintained high accuracy across geography and time, even with more limited.
- Can an AI-driven system predict cutaneous squamous cell carcinoma? In an Original Investigation published in JAMA Dermatology, researchers found the AIRIS system, a LLM using retrieval augmented generation, outperformed current systems. In a related Editorial about the success of AIRIS, the authors call for a “strong collaboration between clinicians, statisticians, and AI practitioners” to ensure clinical applicability of AI advances.
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Editor's Note
JAMA
Can AI Improve the Cost-Effectiveness of 3D Total-Body Photography?
Roy Perlis, MD, MSc; Jessica Watts
Original Investigation
JAMA
Complete AI-Enabled Echocardiography Interpretation With Multitask Deep Learning
Gregory Holste, MSE; Evangelos K. Oikonomou, MD, DPhil; Márton Tokodi, MD, PhD; et al
JAMA Dermatology
Retrieval Augmented Generation–Enabled Large Language Model for Risk Stratification of Cutaneous Squamous Cell Carcinoma
Neil K. Jairath, MD; Vartan Pahalyants, MD, MBA; Shayan Cheraghlou, MD; et al
Editorial
JAMA Dermatology
Prognostication System for Squamous Cell Carcinoma Using Retrieval Augmented Generation–Enabled Large Language Model
Emily S. Ruiz, MD, MPH; William Lotter, PhD
AUDIO
Can AI Improve Cost-Effectiveness of 3D Total-Body Photography?
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