AI Medical Compendium

Commercial Artificial Intelligence (AI) Tool for Screening Digital Breast Tomosynthesis: Factors Associated With AI-Based Breast Cancer Detection.

AJR. American journal of roentgenology Apr 1, 2026

BACKGROUND. Research on artificial intelligence (AI)-based computer-assisted detection and diagnosis (CADe/CADx) algorithms has focused primarily on digital mammography rather than on digital breast tomosynthesis (DBT). Additionally, DBT-related stud... read more

HEMT-Based Wearable Biosensors for Noninvasive Health Monitoring and AI-Driven Diagnostics: A Review.

IEEE transactions on nanobioscience Apr 1, 2026

Wearable biosensors based on high electron mobility transistor (HEMT) technology are revolutionizing healthcare by enabling real-time, noninvasive monitoring of physiological parameters via biochemical markers present in biofluids like sweat, tears, ... read more

Integrating Bulk RNA-Seq and Spatial Transcriptomics Data to Reveal Distinct Immune Escape Mechanism and Immunotherapy Based on Post-Translational Modification in Head and Neck Squamous Cell Carcinoma.

Journal of immunotherapy (Hagerstown, Md. : 1997) Apr 1, 2026

Post-translational modification (PTM) plays a crucial role in head and neck squamous cell carcinoma (HNSCC) progression, and their specific prognostic implications in HNSCC have not been thoroughly investigated. TCGA-HNSCC, GSE41613, GSE42743, and GS... read more

Self-Triggered Prescribed-Time Impulsive Control for Nonlinear Systems.

IEEE transactions on cybernetics Apr 1, 2026

This article presents a new design of self-triggered impulsive control (STIC) for prescribed-time stability (PTS) of nonlinear systems. A prescribed-time convergent function is proposed to determine the impulsive control strength together with the in... read more

Generative AI-Driven Ergonomics: A Virtual-Real Hybrid Experiment for Human Factors Engineering.

IEEE transactions on cybernetics Apr 1, 2026

Ergonomics or human factors engineering (HFE) mainly exploits human experiments to discover one's cognitive and behavioral mechanisms. Such a paradigm, however, suffers from the scale of subject group and the extent to which they can stand for the wh... read more

DRSPLUS RETINOGRAPHER IN PATIENTS WITH DIABETES: A Comparison Study by Consensus Grading, Reading Center, and Artificial Intelligence.

Retina (Philadelphia, Pa.) Apr 1, 2026

PURPOSE: To evaluate the gradable rate of the retinal images acquired with DRSplus retinographer in patients with diabetes and to estimate the diabetic retinopathy (DR) severity, comparing different methods of analysis and grading. METHODS: Prospecti... read more

MEASUREMENT OF CHOROIDAL VASCULARITY INDEX AND CHOROIDAL THICKNESS USING DEEP LEARNING-BASED METHODS WITH SWEPT-SOURCE OPTICAL COHERENCE TOMOGRAPHY.

Retina (Philadelphia, Pa.) Apr 1, 2026

PURPOSE: In this study, we aimed to fully automate the measurement of choroidal thickness and choroidal vascularity index in images obtained using swept source optical coherence tomography with the aid of deep learning-based artificial intelligence. ... read more

C2-LSM: A Storm-NoC Based Neuromorphic Processor for High-Accuracy Liquid State Machine With Cube-Cluster Topology.

IEEE transactions on biomedical circuits and systems Apr 1, 2026

The liquid state machine (LSM), a reservoir computing variant of spiking neural networks (SNNs), has been widely adopted for its low training complexity. In this work, we propose C2-LSM, a neuromorphic processor designed through algorithm-hardware co... read more

Leveraging Self-Supervised Audio-Visual Pretrained Models to Improve Vocoded Speech Intelligibility in Cochlear Implant Simulation.

IEEE transactions on bio-medical engineering Apr 1, 2026

OBJECTIVE: Individuals with hearing impairments face challenges in their ability to comprehend speech, particularly in noisy environments. This study explores the effectiveness of audio-visual speech enhancement (AVSE) in improving the intelligibilit... read more

Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review.

DEN open Apr 1, 2026

Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for early detection and accurate lesion characterization. Traditional white-light imaging has limitations in detecting lesions, particularly those with flat... read more

Artificial Intelligence Medical Compendium