AI Medical Compendium

Machine Learning-assisted Prediction of Fluid Overload and Its Nursing Implications in Patients With Acute Pancreatitis.

Computers, informatics, nursing : CIN Apr 1, 2026

Fluid overload (FO) is a critical complication in acute pancreatitis (AP), contributing to prolonged hospital stays and increased mortality. Traditional scoring systems like BISAP lack predictive accuracy for FO, placing a burden on nurses managing f... read more

Optimizing disorder with machine learning to harness phase synchronization.

Chaos (Woodbury, N.Y.) Apr 1, 2026

Disorder is conventionally regarded as detrimental to coherence; yet, under certain conditions, it can promote synchronization. We develop a machine-learning framework for the inverse design of optimal-disorder configurations that maximize phase sync... read more

Anterior midcingulate cortex activity during pain catastrophizing predicts and sequentially tracks reduction in pain interference after cognitive behavioral therapy in fibromyalgia.

Pain Apr 1, 2026

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and functional disability. Cognitive behavioral therapy (CBT) has been shown to alleviate FM symptoms, but the neural mechanisms underlying CBT's effectiveness in... read more

Big data in multiple sclerosis.

Current opinion in neurology Apr 1, 2026

PURPOSE OF REVIEW: This review summarizes recent key advancements in multiple sclerosis (MS) achieved through the utilization of big data from diverse sources and advanced analytical techniques. RECENT FINDINGS: Real-world evidence (RWE) derived from... read more

Neural Network Assisted Estimation for the Structural Nested Accelerated Failure Time Models.

Statistics in medicine Apr 1, 2026

Time-varying confounding complicates the causal survival analysis for longitudinal data. Traditional survival models that adjust for time-dependent covariates fail to estimate the intervention causal effect unbiasedly. The Structural Nested Accelerat... read more

Neural Representations Across Multiple Stages in a Go/No-Go Task: Evidence From Multivariate Pattern Analysis.

Psychophysiology Apr 1, 2026

The Go/No-Go task is one of the most commonly used paradigms in psychological research, yet traditional studies rely on single event-related potential (ERP) components, limiting insights into multi-stage temporal dynamics. This study recorded electro... read more

Cell-MICS: Detecting Immune Cells With Label-Free Two-Photon Autofluorescence and Deep Learning.

Journal of biophotonics Apr 1, 2026

Multiphoton imaging has been widely used for deep-tissue imaging. Although its label-free, metabolic contrast is ideal for investigating inflammation, the label-free two-photon induced autofluorescence is often regarded as less specific compared to c... read more

Evaluation of AI-Based Medical Device Concerning Localization Information Using Nonparametric Inference for the Alternative Free-Response ROC Curve.

Statistics in medicine Apr 1, 2026

The alternative free-response receiver operating characteristic (AFROC) curve is a popular method for evaluating the performance of diagnostic tests concerning detecting and locating abnormal lesions. However, the existing inferences for the AFROC cu... read more

Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.

Respirology (Carlton, Vic.) Apr 1, 2026

BACKGROUND AND OBJECTIVE: High resolution computed tomography (HRCT) scan diagnostic classification for usual interstitial pneumonia (UIP) plays a critical role in therapeutic decision-making and clinical trial eligibility for interstitial lung disea... read more

Artificial intelligence, personalized education, Dunning-Kruger effect.

Academic medicine : journal of the Association of American Medical Colleges Apr 1, 2026

Artificial Intelligence Medical Compendium