AI Medical Compendium

Identifying clinical correlates of drinking clusters during treatment for alcohol use disorder.

The American journal on addictions Jan 27, 2026

BACKGROUND AND OBJECTIVES: Despite the availability of treatments for alcohol use disorder (AUD), relapse prevalence and health-related consequences associated with AUD remains high. Using data-driven approaches that enhance generalizability can help... read more

Comment on "Artificial Intelligence Technologies Supporting Nurses' Clinical Decision-Making: A Systematic Review".

Journal of clinical nursing Jan 27, 2026

Multi-Model Fusion for 28-Day Mortality Prediction in ICU Patients: A Comprehensive Retrospective Cohort Study with Subgroup Validation and Clinical Risk Stratification.

Shock (Augusta, Ga.) Jan 27, 2026

BACKGROUND: Accurate prediction of 28-day mortality in intensive care unit (ICU) patients represents a critical challenge in modern critical care medicine, with profound implications for clinical decision-making, resource optimization, and patient-ce... read more

Distilling structural knowledge from CNNs to vision transformers for data-efficient visual recognition.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2026

Knowledge distillation (KD) is an effective strategy to transfer learned representations from a pre-trained teacher model to a smaller student model. Current methods for knowledge transfer from convolutional neural networks (CNNs) to vision transform... read more

Interdisciplinary expertise to advance human-centered explainable AI.

Social science & medicine (1982) Jan 27, 2026

The field of artificial intelligence (AI) is rapidly influencing health and healthcare, but bias and inadequate subgroup performance persists. Previous work has clearly outlined the need for more rigorous attention to data representativeness and mode... read more

PBPK Modeling Addresses Oral Absorption-Mediated Drug Interactions.

Drug metabolism and pharmacokinetics Jan 27, 2026

Absorption is the first and imperative step to understanding the pharmacokinetics (PK) and ADME (absorption, distribution, metabolism, and excretion) of a drug product. Drug interactions also occur during the absorption process and have the potential... read more

A cortico-cerebellar neural model for task control under incomplete instructions.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2026

Cerebellar-inspired motor control systems have been widely explored in robotics to achieve biologically plausible movement generation. However, most existing models rely heavily on high-dimensional instruction inputs during training, diverging from t... read more

deepNoC: A deep learning system to assign the number of contributors to a short tandem repeat DNA profile.

Forensic science international. Genetics Jan 27, 2026

A common task in forensic biology is to interpret and evaluate short tandem repeat DNA profiles. The first step in these interpretations is to assign a number of contributors to the profiles, a task that is most often performed manually by a scientis... read more

Education Research: Bridging the Artificial Intelligence Training Gap: Evidence from a National Survey of Italian Neurology Residents.

Neurology. Education Jan 27, 2026

BACKGROUND AND OBJECTIVES: As artificial intelligence (AI) rapidly becomes an integral tool in clinical neurology, future clinicians will need to master its application in patient care. While previous studies focused primarily on medical students' pe... read more

Implementation of electronic patient-reported outcomes in supportive care for oncology patients.

Current opinion in supportive and palliative care Jan 27, 2026

PURPOSE OF REVIEW: Patient-reported outcomes (PROs) have become increasingly important in oncology, capturing the patient perspective on symptoms, treatment effects, and health-related quality of life. Transitioning to electronic platforms (ePROs) en... read more

Artificial Intelligence Medical Compendium