PURPOSE
To compare the accuracy of vertical cup-disc ratios (VCDR), ascertained by machine learning (ML) versus human graders, from fundus images for glaucoma detection. This study utilizes population-based data, with a disease prevalence and case-mix that is closer to a real-world setting than conventional case-contro...
Thomas R. P. Taylor, Justin Khasentino, Robert N. Luben et al.· Ophthalmology (Rochester, Mi...· 1 citation
Satellite imagery is proposed as a novel pretraining domain for MedVFM development and benchmarking, motivated by its closer visual alignment with medical data and its freedom from the privacy constraints that limit medical datasets.
Lovre Antonio Budimir, Ming Gong, Alyssa Foong Quinney et al.· 0 citations
LLM agents perform reliably for question generation and SAP drafting but require expert verification of formula composition, cohort boundary logic, and concordance computation before results are reported.
Yi-Lan Wu, D. J. Fu, Yu-Kun Zhou et al.· Journal of Medical Internet...· 0 citations
This review examines vibe coding through an ophthalmology-specific lens, identifying where it adds value and how it can be used responsibly, and how it can be used responsibly while preserving safety and accountability.
F. Antaki, Victor C. F. Bellanda, P. Keane et al.· Current Opinion in Ophthalmo...· 0 citations
This work introduces a scalable, resource-efficient, and high-performance information extraction pipeline that leverages large language models (LLMs) to address challenges of free-text clinical records and develops a multi-dimensional assessment for deployment in data extraction tasks.
A. Y. Ong, Quang Nguyen, I. Barai et al.· npj Digital Medicine· 1 citation
While AI agents delivered highly efficient, directionally aligned assessments, they did not fully capture the nuances of human clinical judgment and could not substitute for physician-centered evaluation and promise assistive tools that can triage or pre-screen outputs to reduce human burden.
Peilun Shi, Jian Li, Ziqi Yang et al.· npj Digital Medicine· 0 citations
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