AI Medical Compendium

Cardiac energetics and ventriculo-arterial interaction-based phenotyping in heart failure: a machine learning analysis.

The international journal of cardiovascular imaging Jul 21, 2026

Left-ventricular cardiac power output (CPO), stroke-work index (LVSWI), and ventriculo-arterial coupling (VAC) capture cardiac energetics and ventricular-vascular interaction, however their bedside prognostic value in acute decompensated heart failur... read more

Machine learning algorithms for predicting arrhythmic events in Hypertrophic Cardiomyopathy: limited enhancement beyond late gadolinium enhancement.

The international journal of cardiovascular imaging Jul 21, 2026

We aimed to develop and assess the performance of a Machine learning (ML) model integrating common clinical features to predict arrhythmic events in patients with Hypertrophic Cardiomyopathy (HCM). Post-hoc analysis of an international multicenter re... read more

Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combo 10.

Online journal of public health informatics Jul 21, 2026

BACKGROUND: HEDIS Childhood Immunization Status (CIS) Combination 10 is a pediatric quality measure within a widely used health care performance framework; HEDIS is used by more than 90% of U.S. health plans, covering more than 190 million people in ... read more

Robust Sleep Behavior Monitoring Under Motion Artefacts via Motion-Conditioned Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 21, 2026

Motion artefacts remain a major barrier to reliable wearable sleep behavior analysis in real-world environments. Although recent advances in flexible and textile-based sensing technologies have enabled unobtrusive monitoring of respiratory and upper-... read more

Individual-Specific Functional Connectivity-Based State Classification and Prognosis Prediction for Disorders of Consciousness.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 21, 2026

Accurate prognosis and treatment targeting for disorders of consciousness (DOC) remain challenging due to profound neurobiological heterogeneity. Current approaches to DOC state classification and prognostic prediction, which rely on resting-state fu... read more

EEG-X: An Integrated Framework for Automated Quantitative EEG Analysis in Epilepsy Diagnosis.

IEEE journal of biomedical and health informatics Jul 21, 2026

Accurate interpretation of electroencephalography (EEG) remains a major challenge in epilepsy diagnosis, particularly given that patient heterogeneity hinders the cross-subject generalization of artificial intelligence based algorithms. To address th... read more

KEPLA: A Knowledge-Enhanced Deep Learning Framework for Accurate Protein-Ligand Binding Affinity Prediction.

IEEE transactions on computational biology and bioinformatics Jul 21, 2026

Accurate prediction of protein-ligand binding affinity is critical for drug discovery. While recent deep learning approaches have demonstrated promising results, they often rely solely on structural features of proteins and ligands, overlooking their... read more

Predicting miRNA-disease associations based on adaptive neighborhood propagation and feature spatial recombination.

IEEE transactions on computational biology and bioinformatics Jul 21, 2026

MicroRNAs (miRNAs) are critical regulators in biological processes such as cell proliferation, differentiation, and apoptosis, with their aberrant expression strongly linked to a range of complex diseases. Because traditional experimental methods for... read more

Dual-View Thyroid Ultrasound Classification via Dual Knowledge Distillation.

IEEE transactions on bio-medical engineering Jul 21, 2026

OBJECTIVE: Thyroid ultrasound diagnosis in clinical practice typically relies on both transverse and longitudinal views of the same lesion. However, most existing deep learning methods process these views independently or only perform simple feature ... read more

Chaotropic Surface Chemistry for Protein Profiling with Solid-State Micropores.

ACS sensors Jul 21, 2026

Proteins derive their biological identity from an amino acid sequence, and even subtle sequence variations can mark disease states, therapeutic response, and cancer progression. Although solid-state nanopores offer single-molecule sensitivity, protei... read more

Artificial Intelligence Medical Compendium