AI Medical Compendium

Machine Learning Approach to Predict Pain Outcomes Following Primary and Secondary Targeted Muscle Reinnervation in Amputees.

Plastic and reconstructive surgery Feb 2, 2026

INTRODUCTION: Targeted Muscle Reinnervation (TMR) can prevent and treat neuropathic pain in amputees, but the degree of success varies. This study developed a Machine Learning (ML) model to predict the likelihood of sustained pain mitigation followin... read more

Artificial Intelligence and Ocular Imaging in the Evaluation of Neurologic Disorders: The New Era of Neuro-Oculomics?

Seminars in neurology Feb 2, 2026

Links between the eye and the central nervous system (CNS) have been recognized since the origins of the ophthalmoscope. Owing to the elegant topography of the afferent visual pathway and its close embryonic, anatomical, and physiological connections... read more

Variational Bayesian Multi-Kernel Adaptive Deep Fusion for Microbe-Related Drug Prediction.

Journal of chemical information and modeling Feb 2, 2026

Exploring potential microbe-drug associations (MDAs) not only facilitates drug discovery and clinical treatment but also contributes to a deeper understanding of microbial mechanisms. However, most MDA discoveries rely on biological experiments, whic... read more

Protocol for the PROSECCA study: a new approach for predicting radiotherapy outcome using artificial intelligence and electronic population-based healthcare data.

BMJ open Feb 2, 2026

INTRODUCTION: Within the UK there are 33 deaths every day from prostate cancer, second only to lung cancer as the most common cause of cancer death in males in the UK. Of the 55 000 new cases each year, up to 50% of these patients will receive radiot... read more

Data pipeline quality: development and validation of a quality assessment tool for data-driven algorithms and artificial intelligence in healthcare.

BMJ health & care informatics Feb 2, 2026

OBJECTIVES: To develop and validate a tool for standardised quality assessment of data-driven algorithms in healthcare, focusing on the underlying data pipeline. METHODS: Data Assessment Tool for Algorithm Critical Appraisal and Robust Evidence (DATA... read more

Design of novel enzymes with the incorporation of noncanonical amino acids.

Critical reviews in biotechnology Feb 2, 2026

Enzymes are highly efficient biocatalysts known for their chemical, regio-, and stereoselectivity, making them valuable in industrial applications. While directed evolution has expanded the scope of enzyme-catalyzed reactions, the range of enzymatic ... read more

Artificial intelligence in medicine: How it works, how it fails.

Cleveland Clinic journal of medicine Feb 2, 2026

Artificial intelligence (AI) is transforming healthcare, with large language models emerging as important tools for clinical practice, education, and research. To use it safely and effectively, healthcare professionals need to understand how it works... read more

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation.

Open heart Feb 2, 2026

BACKGROUND: Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture the complex, multifactorial biological interaction... read more

ML-Assisted Olfactory Epidemiology Survey Urbanizing China: A Population-Based Study in Yancheng.

The Laryngoscope Feb 2, 2026

OBJECTIVES: Urbanization-related air pollution may be associated with olfactory dysfunction (OD) in China, yet population studies are lacking. METHODS: We conducted a cross-sectional study of 1500 participants in urbanizing Yancheng, China (2023-2025... read more

Psychopathology profiles and longitudinal correlates of nonsuicidal self-injury in youth: a machine-learning approach.

Translational psychiatry Feb 2, 2026

Nonsuicidal self-injury (NSSI) in youth is clinically heterogeneous. We aimed to identify distinct psychopathology-based profiles among children and adolescents reporting NSSI and their longitudinal correlates. Participants (N = 1 345) were drawn fro... read more

Artificial Intelligence Medical Compendium