AI Medical Compendium

A deep learning approach for predicting sensory-motor integration in postural stability.

Medical & biological engineering & computing Apr 13, 2026

The infinite-dimensional nature of spectroscopy and why models succeed, fail, and mislead.

The Analyst Apr 13, 2026

Machine learning (ML) models have achieved strikingly high accuracies in spectroscopic classification tasks, often without a clear proof that those models used chemically meaningful features. Existing studies have linked these results to data preproc... read more

A Call for Leadership: Lessons Learnt from a Case of Artificial Intelligence (AI)-Augmented Cognitive Behavioural Therapy (CBT).

Canadian journal of psychiatry. Revue canadienne de psychiatrie Apr 13, 2026

Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability.

JMIR medical informatics Apr 13, 2026

BACKGROUND: Amid growing demands and constrained health care resources, effective hospital bed capacity management is crucial. Delayed hospital discharge, where patients remain in the hospital beyond the need for acute care, strains resources, affect... read more

Emotion Expression in Breast Cancer Support Seeking: Empirical Study of an Online Community.

JMIR medical informatics Apr 13, 2026

BACKGROUND: Breast cancer affects millions of women and presents not only medical challenges but also emotional, financial, and social burdens. Beyond clinical treatment, patients increasingly turn to online cancer communities (OCCs) for informationa... read more

Automated Molecular Design in BRADSHAW, Applied to the Optimization of ERAP1 Inhibitors.

Journal of medicinal chemistry Apr 13, 2026

Generative design and machine learning are increasingly prevalent in medicinal chemistry. To pilot the comprehensive use of automated molecular design on a project, the BRADSHAW platform was used to optimize a series of inhibitors of Endoplasmic Reti... read more

E2T: EEG-to-Trajectory Transformer for Motor Imagery-based Fully-DoF Motion Prediction.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 13, 2026

Brain-computer interfaces (BCIs) using electroen-cephalography (EEG) enable non-invasive, real-time interaction for individuals with motor impairments by decoding neural signals associated with movement intention. Although traditional classification-... read more

XMedFuse: An Explainable Multimodal Feature Fusion Framework for Healthcare Diagnostics.

IEEE journal of biomedical and health informatics Apr 13, 2026

Modern healthcare systems increasingly rely on artificial intelligence for clinical decision support. While existing approaches achieve high diagnostic accuracy, they often fail to provide clinically meaningful explanations that align with medical re... read more

Synergistic Multi-Magnification Fusion Network for Tongue Image-Based Oral Cancer Diagnosis.

IEEE journal of biomedical and health informatics Apr 13, 2026

Oral cancer represents a critical global public health concern, where accurate and timely early detection is paramount. While deep learning on non-invasive tongue and lip images shows potential, single-magnification models fail to capture both macro-... read more

Attribute-Topology Cross-Frequency Aligned Graph Neural Networks for Homophilic and Heterophilic Graphs in Node Classification.

IEEE transactions on neural networks and learning systems Apr 13, 2026

Graph neural networks (GNNs) have excelled in handling graph-structured data, attracting significant research interest. However, two primary challenges have emerged: interference between topology and attributes distorting node representations, and th... read more

Artificial Intelligence Medical Compendium