AI Medical Compendium

Data-related Ablation for Reinforcing Deep Learning in Explaining Complex Phenomena.

International journal of neural systems Jan 30, 2026

Deep Learning (DL) models excel at automatically learning intricate patterns within complex data, but their black box nature undermines human trust. To address this, current validation strategies typically focus on the model itself, modifying its arc... read more

Exploring variation in research priorities generated by AI tools.

Journal of global health Jan 30, 2026

BACKGROUND: Artificial intelligence (AI) tools based on large language models (LLMs) are being increasingly used by researchers and may play a role in health-related research priority-setting exercises (RPSEs). However, little is known about how thes... read more

"I had eyes on me to help me": a qualitative descriptive study on trust in passive monitoring systems among older adults with mild cognitive impairment.

The journals of gerontology. Series A, Biological sciences and medical sciences Jan 30, 2026

BACKGROUND: Passive monitoring can support aging in place for older adults with mild cognitive impairment (MCI). Yet, their trust in the technology is crucial as the devices are installed in their homes, collecting data throughout their daily activit... read more

Machine learning-based risk factors for acute-on-chronic liver failure in alcohol-associated liver disease.

Annals of medicine Jan 30, 2026

BACKGROUND: In patients with alcohol-associated liver disease (ALD), heavy and prolonged alcohol consumption can trigger acute-on-chronic liver failure (ACLF), a condition associated with high early mortality and significant clinical challenges. Earl... read more

FAST: Filamentous Actin Segmentation Tool for quantifying cytoskeletal organization.

Journal of cell science Jan 30, 2026

Studying how actin filaments are assembled into different subcellular structures can provide insights into both physiological processes and the mechanisms of disease. However, quantifying the size, abundance, and organization of different classes of ... read more

TEERAI-Pre: A Multiview Artificial Intelligence Model for Preoperative Assessment of Transcatheter Edge-to-Edge Mitral Valve Repair Using Multiview, Multimodal Echocardiography.

Journal of the American Heart Association Jan 30, 2026

BACKGROUND: Transcatheter edge-to-edge mitral valve repair is a key therapeutic option for patients with severe symptomatic mitral regurgitation at high surgical risk. This prospective study aimed to develop a novel end-to-end deep learning model for... read more

Exploring service user attitudes towards mental health technologies.

Irish journal of psychological medicine Jan 30, 2026

OBJECTIVES: Understanding service users' knowledge of and attitudes towards the rapidly progressing field of mental health technology (MHT) is an important endeavour in clinical psychiatry. METHODS: To evaluate the current use of and attitudes toward... read more

Prognostic Value of Artificial Intelligence-Enabled Electrocardiography-Derived Diastolic Dysfunction Grading and Trajectory in Patients Undergoing Transcatheter Aortic Valve Replacement.

Journal of the American Heart Association Jan 30, 2026

BACKGROUND: Artificial intelligence (AI)-enabled electrocardiography has emerged as a tool for detecting cardiac dysfunction. The prognostic relevance of AI-enabled electrocardiography-derived diastolic dysfunction (DD) in patients undergoing transca... read more

Wearable biosensors for disease diagnostics and health monitoring: recent progress and emerging technologies.

Lab on a chip Jan 30, 2026

Wearable biosensors leverage microfluidic technology for precise biofluid sampling and directional transport, and utilize electrical or optical sensing mechanisms for reliable detection of target physiological parameters. By synergizing microfluidics... read more

Automated bond valence sum analysis for crystallographic database quality assessment: a systematic study of rock salt oxides, halides, and chalcogenides.

Dalton transactions (Cambridge, England : 2003) Jan 30, 2026

Crystallographic databases are vital for research and increasingly serve as training data for machine learning in materials discovery, yet systematic quality assessment at database scale remains absent. Bond valence sum (BVS) analysis - testing wheth... read more

Artificial Intelligence Medical Compendium