Articles related to ARTIFICIAL INTELLIGENCE (AI)

An ophthalmologist-inventor described automated slit-lamp imaging as a way to standardize anterior-segment documentation. The discussion emphasized workflow, ergonomics, teleophthalmology, and future AI training needs.

AI-enabled retinal imaging platforms are being deployed across healthcare settings to identify ocular and systemic disease signals, though the role of these technologies continues to evolve alongside regulatory approvals and clinical validation.

Dr. Nidhi Madan discusses building a rural structural heart program at Bassett Medical Center, the health equity gaps keeping high-burden patients from reaching heart team evaluation, and why cardiac CT fluency has become a foundational competency for the modern structural interventionalist.

A conference presentation at Optometry’s Meeting 2026 examined teleretina adoption in primary care settings and the expanding role of AI-assisted retinal imaging, including autonomous diabetic retinopathy detection and emerging oculomics applications, while cautioning clinicians about AI bias and the limits of consumer-facing large language models.

A supervised random forest classifier trained on 330 features derived from nocturnal polysomnography achieved areas under the ROC curve approaching or exceeding 0.8 for distinguishing narcolepsy type 2, idiopathic hypersomnia, and controls in a national French reference database.

A machine learning sleep EEG score measured in midlife was associated with neuropsychological performance over a decade later in a Framingham cohort.