AI Medical Compendium

Young academic psychiatrists in 2050s: future directions across low- and high-income settings.

International review of psychiatry (Abingdon, England) Feb 16, 2026

Academic psychiatrists inhabit two professional identities: clinician and researcher. In some settings they also carry out teaching to a range of staff. These skills require rigorous training, yet various domains of psychiatry are evolving faster tha... read more

Machine Learning Methods to Identify Pediatric Shunt Malfunction in the Acute Care Setting and the Development of ShuntGPT.

Neurosurgery Feb 16, 2026

BACKGROUND AND OBJECTIVES: Identifying predictors of shunt failure in acute care settings is challenging. Previous studies largely rely on traditional statistical analyses to evaluate risk factors associated with shunt failure. However, these methods... read more

Large Language Model for Postoperative Clinical Decision Support in a Neurosurgery Ward in the Gambia: A Prospective Pilot Feasibility Study.

Neurosurgery Feb 16, 2026

BACKGROUND AND OBJECTIVES: Access to specialty surgical care is growing in many low-income countries, but it remains unclear how hospital workforces can leverage technology to manage large numbers of increasingly complex patients. Large language mode... read more

Psychometric Properties of the Chinese Version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS).

Teaching and learning in medicine Feb 16, 2026

This study aimed to evaluate the psychometric properties of the Chinese version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) and assess its applicability among undergraduate students in medicine and health-re... read more

Artificial Intelligence-Driven Three-Dimensional Reconstruction in Lung Cancer Surgery: Current Status and Future Perspectives.

ANZ journal of surgery Feb 16, 2026

BACKGROUND: Three-dimensional (3D) reconstruction is an important adjunct in lung cancer surgery for visualizing pulmonary anatomy, supporting preoperative planning, and improving operative precision. Recent advances in artificial intelligence (AI) h... read more

Prediction model for deep vein thrombosis stability based on multiple machine learning methods.

Phlebology Feb 16, 2026

BackgroundThis study aimed to develop multiple machine learning (ML) models to predict DVT stability based on clinical and computed tomography (CT) texture features.MethodsA total of 108 patients diagnosed with DVT by clinical examination and ultraso... read more

Computational Drug Repurposing for Alzheimer's Disease via Sheaf Theoretic Population-Scale Analysis of snRNA-Seq Data.

Journal of medicinal chemistry Feb 16, 2026

Single-cell and single-nucleus RNA sequencing are used to reveal heterogeneity in cells, showing a growing potential for precision and personalized medicine. Nevertheless, sustainable drug discovery must be based on a population-level understanding o... read more

Adjoint propagation of error signal through modular recurrent neural networks for biologically plausible learning.

eLife Feb 16, 2026

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we introduce an adjoint propagation (AP) framework, i... read more

Modalities and algorithms for generalized motor seizure detection and prediction: a scoping review.

Expert review of medical devices Feb 16, 2026

INTRODUCTION: Generalized tonic - clonic seizures (GTCS) are among the most severe seizure types and a major cause of sudden unexpected death in epilepsy (SUDEP). Continuous monitoring is essential, particularly for individuals with drug-resistant ep... read more

Prediction of SARS-CoV-2 transmission dynamics based on population-level cycle threshold values: An epidemic transmission and machine learning modeling study.