deep learning – Medxy AI

Breaking the Hardware Barrier: How Domain-Shift AI Enables Vendor-Agnostic 3D OCT Macular Disease Detection

By MedXY 02/27/2026

A multicenter study in JAMA Ophthalmology introduces a deep learning model using domain-shift technology to accurately detect macular diseases across different OCT hardware vendors, achieving high negative predictive value and establishing a robust triage system for diverse clinical settings.

AI Neurology news

AI-Driven Prognosis: EEGSurvNet Accurately Predicts Seizure Timing From Routine EEG Data

By MedXY 01/28/2026

Researchers developed EEGSurvNet, a deep survival model that analyzes routine EEG to predict seizure risk over two years. Outperforming clinical models, it achieved an AUROC of 0.80 at two months and showed high efficacy in patients without visible epileptiform discharges.

AI news Oncology

Muscle-Bone Ratio: A New AI-Driven Biomarker for Anti-EGFR Response in Metastatic Colorectal Cancer

By MedXY 01/08/2026

A deep learning-derived sarcopenia marker, the muscle-bone ratio (MBR), has been shown to predict the efficacy of anti-EGFR maintenance therapy in patients with RAS wild-type metastatic colorectal cancer, potentially identifying those who truly benefit from treatment intensification.

AI news Otorhinolaryngology

Deep Learning in Otolaryngology: Promises, Performance, and Pathways to Clinical Use

By MedXY 11/19/2025

This critical synthesis of a 2020–2025 narrative review (327 DL studies) evaluates deep learning (DL) applications across diagnosis, prognosis, segmentation, and emerging intraoperative uses in otolaryngology and outlines practical steps for safe, equitable implementation.

AI Ophthalmology Specialties

Deep Learning Predicts Glaucoma Risk via Retinal Nerve Fiber Layer Thickness from Ocular Hypertension Photographs

By MedXY 09/12/2025

Deep learning models predicting RNFL thickness from optic disc photographs can identify ocular hypertension patients at higher risk for primary open-angle glaucoma, enhancing early risk assessment and monitoring disease progression.