AI Medical Compendium

Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery.

Bioresources and bioprocessing Feb 2, 2026

Antioxidant peptides (AOPs), with their strong free radical scavenging ability and health benefits, have emerged as promising candidates for disease prevention and food preservation. However, traditional experimental approaches to AOP discovery remai... read more

Diagnostic Accuracy of Cerebrospinal Fluid Presepsin vs. Procalcitonin in Post-Neurosurgical Bacterial Ventriculitis/Meningitis: A Machine Learning Analytical Approach.

Journal of molecular neuroscience : MN Feb 2, 2026

This study aimed to evaluate the diagnostic accuracy of cerebrospinal fluid presepsin and procalcitonin in patients who had undergone neurosurgery between November 2023 and December 2024 enrolled on the basis of specific guidelines. Cerebrospinal flu... read more

Social determinants of health to predict health-related quality of life in diabetes patients: explainable machine learning approaches.

Endocrine Feb 2, 2026

Evaluating dose distribution in prostate IMRT patients using deep learning: the influence of loss function on model performance.

Physical and engineering sciences in medicine Feb 2, 2026

To estimate the influence of various loss functions on the performance of deep learning (DL) models for dose prediction in intensity-modulated radiotherapy (IMRT) for prostate cancer. A retrospective dataset comprising 110 prostate cancer patients wa... read more

Integrating AI Scribes into Medical Education: Guardrails for Preserving Clinical Reasoning.

Journal of general internal medicine Feb 2, 2026

Clinical documentation is a cornerstone of physician training, not only as a record of care but as a catalyst for clinical reasoning. For medical trainees, writing notes compels them to prioritize information, justify decisions, and synthesize fragme... read more

Bias and Oversight in Clinical AI: A Review of Decision Support Tools and Equity Frameworks.

Journal of general internal medicine Feb 2, 2026

Artificial intelligence (AI) decision support tools (DSTs) are increasingly used across clinical settings to improve efficiency and support decision-making. However, these tools risk perpetuating existing healthcare disparities if not designed and im... read more

Identification and validation of NETs-related biomarkers in hepatocellular carcinoma through bioinformatics analysis and machine learning algorithms.

Discover oncology Feb 2, 2026

BACKGROUND: Emerging evidence highlights the significant role of Neutrophil Extracellular Traps (NETs) in hepatocellular carcinoma (HCC), but the underlying molecular mechanisms involving NETs formation remain incompletely understood. This study aims... read more

An integrative deep learning model based on dual-mode ultrasound for diagnosing gallbladder polyps.

Insights into imaging Feb 2, 2026

OBJECTIVES: The aim of this study was to develop an artificial intelligence model to automatically differentiate between non-neoplastic and neoplastic gallbladder polyps, while also distinguishing benign from malignant polyps. MATERIALS AND METHODS: ... read more

A Deep Learning Framework with Multi-perspective Feature Fusion for Transcription Factor Binding Site Prediction.

Interdisciplinary sciences, computational life sciences Feb 2, 2026

Comparison between automated and manual digital diagnostic setups of orthodontic extraction cases: an in silico study.

Progress in orthodontics Feb 2, 2026

BACKGROUND: The aim of the study was to evaluate automated digital diagnostic setup in bimaxillary dentoalveolar protrusion cases using two software packages and to compare them to manual digital setup. METHODOLOGY: Pre-treatment intraoral scans of 1... read more

Artificial Intelligence Medical Compendium