Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 35,471 to 35,480 of 222,841 articles

Digital health and machine learning in population health and wellness management: A scoping and bibliometric review of effectiveness, equity, and implementation challenges.

Asian journal of psychiatry Apr 5, 2026
Machine learning (ML) in digital health applications is becoming more popular for the general management of population wellness and the promotion of large-scale prevention, risk stratification, and the use of data to formulate data-driven decision-ma... read more 

A discrete memristive cyclic Hopfield neural network with multi-cavity-like attractors and application in secure communication.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2026
Discrete memristors with synapse-like properties play a significant role in elucidating the complex neurodynamic mechanisms of biological neural networks in the brain. This work presents a discrete memristive cyclic Hopfield neural network (DMCHNN), ... read more 

Machine learning-driven prognostication in liver transplantation: A tacrolimus intrapatient variability enhanced predictive model.

Hepatobiliary & pancreatic diseases international : HBPD INT Apr 5, 2026
BACKGROUND: Accurately predicting long-term survival after liver transplantation (LT) remains a major clinical challenge. Tacrolimus intrapatient variability (Tac-IPV) has emerged as a potential prognostic marker, yet its integration into clinical de... read more 

Boosting self-supervised multi-frame depth estimation with hybrid geometric-semantic constraints.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2026
Self‑supervised multi‑frame monocular depth estimation leverages semantic appearance and geometric matching information to improve depth prediction through temporal cues, yet it continues to face challenges posed by semantic and geometric inconsisten... read more 

Autonomous inverse modeling of complex groundwater systems via a physics-integrated large language model multi-agent framework.

Water research Apr 5, 2026
Inverse modeling of groundwater flow and transport in subsurface systems is fundamentally restricted by the conceptual-numerical gap, where translating hydrogeological hypotheses into executable simulation codes remains a labor-intensive process. Whi... read more 

Dynamic expandable framework for incremental anomaly detection.

Neural networks : the official journal of the International Neural Network Society Apr 5, 2026
Incremental anomaly detection (IAD) has gained significant importance due to the evolving nature of product classes in real-world industrial environments. However, existing IAD methods typically rely on a shared model parameter space, which is prone ... read more 

An effluent risk informed closed-loop framework for early warning of influent anomalies using COD soft sensing.

Water research Apr 5, 2026
Sudden shock loads in wastewater influent can severely disrupt biological treatment processes and cause effluent quality exceedances in wastewater treatment plants, particularly in domestic-industrial integrated facilities. Timely and reliable early ... read more 

Reduced spread of nodes in spatial network models improves topology associated with increased computational capabilities

bioRxiv Apr 5, 2026
Biological neural networks are characterized by short average path lengths, high clustering, and modular and hierarchical architectures. These complex network topologies strike a balance between local specialization and global synchronization via lon... read more 
neuroscience

CellBench-LS: Benchmark Evaluation of Single-cell Foundation Models for Low-supervision Scenarios

bioRxiv Apr 5, 2026
While single-cell foundation models (SCFMs) have shown promise across various downstream tasks, their generalization performance in label-scarce settings remains a critical bottleneck. The absence of systematic benchmarks for these low-resource scena... read more 
cell biology

OpenAc4C: A gateway to decode the landscape, regulation and pathogenesis of N4-acetylcytidine (ac4C) epitranscriptome

bioRxiv Apr 5, 2026
N4-acetylcytidine (ac4C) is an ancient and highly conserved chemical marker found in all domains of life. Recent advancements in sequencing techniques have enabled the functional analysis of ac4C occurrence by accurately capturing its locations and l... read more 
bioinformatics
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