AI Medical Compendium

Rapid and interpretable protein contact map prediction using a pattern-matching strategy.

Physical biology Feb 10, 2026

Protein sequence determines structure, function, and dynamics, yet the gap between sequenced proteins and experimentally determined structures continues to widen. While machine learning approaches like AlphaFold2 have transformed structural biology, ... read more

MolVE: An Open-Source Web Platform for Visualizing and Evaluating AI-Designed Molecules to Aid in Prioritization.

Journal of chemical information and modeling Feb 10, 2026

Advances in artificial intelligence and deep generative models have enabled the rapid generation of novel molecular structures for advanced material science and drug discovery. However, the effective evaluation of these candidates still depends, in t... read more

Practical machine learning model for early and accurate prediction of disseminated intravascular coagulation before its progression to an overt stage.

Thrombosis and haemostasis Feb 10, 2026

BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal efficacy when administered before the development of sepsis-induced overt disseminated intravascular coagulation (DIC). This therapeutic strategy requires... read more

Evaluating Large Language Model-Generated Clinical Summaries Through a Dual-Perspective Framework: Retrospective Observational Study.

JMIR AI Feb 10, 2026

Large language models (LLMs) are increasingly used by patients and families to interpret complex medical documentation, yet most evaluations focus only on clinician-judged accuracy. In this study, 50 pediatric cardiac intensive care unit notes were s... read more

Understanding patient experience during Lokomat rehabilitation in children and adolescents: a clinical observational study combining self-evaluation and physiological metrics.

BMJ open Feb 10, 2026

OBJECTIVES: To examine the emotional, cognitive and dispositional experience of children and adolescents undergoing Lokomat rehabilitation by integrating self-evaluation, therapist observations and physiological metrics across repeated sessions, with... read more

Mechanistic interpretability of reinforcement learning in Medicaid care coordination.

BMJ health & care informatics Feb 10, 2026

OBJECTIVE: To expose reasoning pathways of a reinforcement learning policy for Medicaid care coordination, develop an error taxonomy and implement fairness-aware guardrails. DESIGN: Retrospective interpretability audit using attention analysis, Shapl... read more

Predicting total knee replacement in knee osteoarthritis using a machine learning-guided approach in patients of the Osteoarthritis Initiative (OAI).

RMD open Feb 10, 2026

OBJECTIVE: To develop a pragmatic model to predict total knee replacement (TKR) in knee osteoarthritis using non-imaging clinical, genetic and lifestyle data with machine learning (ML)-guided feature selection. METHODS: We analysed 3790 Osteoarthriti... read more

A Comparative Evaluation of 7T MRI for Epilepsy with Deep-Learning-Based Image Reconstruction and Dynamic Parallel Transmission.

AJNR. American journal of neuroradiology Feb 10, 2026

OBJECTIVES: 7T MRI enhances lesion detection in epilepsy but is limited by radiofrequency transmission field (B1+) inhomogeneity and long scan times. Recent advancements in dynamic parallel transmission and deep-learning-based reconstructions offer p... read more

Characterising 'Spree Bar': an examination of the popularity, marketing and composition of a vaping device with a nicotine analogue across multiple data streams.

Tobacco control Feb 10, 2026

BACKGROUND: Spree Bar, a line of e-cigarette devices introduced in 2023, leverages 6-methylnicotine (6-MN) as its primary ingredient and is available in nine flavours, each represented by artificial intelligence (AI)-generated avatars. AIMS: To chara... read more

Dynamic prediction of early discharge after major pancreatic surgery: Derivation and cross-validation of an automatable electronic medical record-based model.

Surgery Feb 10, 2026

BACKGROUND: Length of hospital admission after major oncologic surgery is often highly variable. Although in carefully selected patients, early discharge can be safe, few automated systems exist to prospectively identify eligible patients. We aimed t... read more

Artificial Intelligence Medical Compendium