Artificial Intelligence Medical Compendium

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

Showing 40,801 to 40,810 of 223,737 articles

Development of machine learning-based predictive models for seroma formation after transabdominal preperitoneal inguinal hernia repair.

BMC surgery Mar 18, 2026
BACKGROUND: Inguinal hernia repair, particularly transabdominal preperitoneal (TAPP) repair, is a common surgical procedure. However, seroma formation remains a frequent postoperative complication, impacting patient recovery and increasing healthcare... read more 

Methodological considerations on artificial intelligence-based phase recognition in robot-assisted radical prostatectomy.

BJU international Mar 18, 2026
read more 

Generative AI Podcasts for Learning: Perceptions of Faculty and Graduate Nursing Students.

The Journal of nursing education Mar 18, 2026
BACKGROUND: In nursing education, faculty generated and commercially prepared podcasts have been shown to be an effective way to deliver content. Generative artificial intelligence (GAI) technology can be used to create human-like podcast audio recor... read more 

MAGCANet: A multiscale adaptive graph-convolutional attention network for MI-EEG decoding.

Biomedical physics & engineering express Mar 18, 2026
OBJECTIVE: Motor imagery EEG (MI-EEG) decoding remains challenging due to low signal-to-noise ratios and pronounced inter-subject variability. Although end-to-end deep models reduce reliance on manual feature engineering, many existing architectures ... read more 

Cerebellum-Inspired Kernel for Robust OOD Detection

bioRxiv Mar 18, 2026
Detecting novel stimuli is a fundamental neural function, yet its machine learning counterpart---out-of-distribution (OOD) detection---remains challenging, with models often making overconfident predictions on unseen inputs. Inspired by the strong pa... read more 
neuroscience

MetaReact: A Reaction-Aware Transformer for End-to-End Prediction of Drug Metabolism

bioRxiv Mar 18, 2026
Accurate prediction of drug metabolites and enzyme selectivity is essential for rational drug design and safety assessment. However, existing computational approaches are often limited to specific enzyme families or reaction types, lacking the capaci... read more 
biochemistry

TRAILBLAZER: generative multicellular perturbation model of biology

bioRxiv Mar 18, 2026
Single-cell foundation models are reshaping biology by learning transferable representations of cellular state from millions of profiles. These models support annotation, denoising, cross-modal mapping and, increasingly, prediction of responses to ge... read more 
systems biology

kinGEMs: A Robust and Scalable Framework forResource-Constraint Models through StochasticTuning of Deep Learning-Predicted KineticParameters

bioRxiv Mar 18, 2026
The construction of accurate enzyme-constrained genome-scale models (ecGEMs) remains a critical challenge in systems biology, limited by sparse kinetic data and the need for biologically meaningful representations. This work presents an integrated fr... read more 
bioengineering

HARVEST: Unlocking the Dark Bioactivity Data of Pharmaceutical Patents via Agentic AI

bioRxiv Mar 18, 2026
Pharmaceutical patents contain vast Structure-Activity Relationship tables documenting protein-ligand binding data that are technically public yet computationally inaccessible, rendering this wealth of data effectively dark - trapped in unstructured ... read more 
bioinformatics

Unpaired TCRα + TCRβ sequencing is sufficient for training machine learning TCR-epitope recognition predictors

bioRxiv Mar 18, 2026
T-cell recognition of infected and malignant cells is elicited by the binding of heterodimeric T-Cell Receptors (TCRs) to epitopes and both the TCR and the TCR{beta} chains play a key role in these interactions. Machine learning tools trained on data... read more 
immunology
Popular Topics
Recent Journals