AI Medical Compendium

Improving multimodal wearable sensing for healthcare with artificial intelligence.

Nature biotechnology May 26, 2026

Sustainable smart sensing and AI-driven platforms for real-time detection and monitoring of mycotoxins across the food supply chain.

Mycotoxin research May 26, 2026

This review aims to critically evaluate sustainable smart sensing technologies and AI-driven platforms for real-time mycotoxin detection, highlighting innovations, integration across the food supply chain, current limitations, and future directions f... read more

Validation of a Machine Learning-Derived Algorithm for the Measurement of Facial First Impressions.

Aesthetic plastic surgery May 26, 2026

BACKGROUND: Facial first impressions are formed within milliseconds and play a pivotal role in social interactions. These rapid judgments influence how individuals are perceived in terms of personality. Traditional assessments of these first impressi... read more

Automatic Localization and Classification of Crohn's Disease Activity in Computed Tomography Enterography Images Using Deep Learning.

Journal of imaging informatics in medicine May 26, 2026

Rapid and accurate localization and activity grading of Crohn's disease (CD) lesions on computed tomography enterography (CTE) images enhance the diagnostic efficiency of radiologists. We developed a one-stage model (called CD-YOLO) based on YOLOv5 f... read more

ColoXAI-RecomNet: Explainable Recommender Framework for Colorectal Cancer Classification Using Integrated CNN Ensemble and LIME Interpretability.

Journal of imaging informatics in medicine May 26, 2026

The classification of colorectal disease based on colonoscopy images requires not only high predictive accuracy but also interpretable decision support. This study proposes a five-stage explainable framework for multi-class colorectal image classific... read more

Prediction of Neurological Outcome and Mortality in Cardiac Arrest Patients: An Explainable Machine Learning Study Integrating HRV, EEG, and Clinical Features.

Neurocritical care May 26, 2026

OBJECTIVE: Early and accurate prediction of neurological outcomes and mortality in comatose patients after cardiac arrest remains challenging. Multimodal data integrating heart and brain electrophysiological signals may improve prognostic accuracy, b... read more

Aleatoric uncertainty in accelerated prostate MRI reconstruction: echo-train dropout versus Gaussian noise Monte Carlo sampling.

Magma (New York, N.Y.) May 26, 2026

PURPOSE: Although undersampling combined with deep learning (DL)-based reconstruction shortens MRI acquisition, it increases the chance of inaccuracies, highlighting the need for quantifiable uncertainty measures. Two inference-time perturbation stra... read more

Transforming the Patient-Centered Medical Home: Reimagining Primary Care Through AI.

Journal of general internal medicine May 26, 2026

The patient-centered medical home model has become a cornerstone for primary care delivery with over 13,000 recognized practices nationwide. However, the model still faces significant barriers including increases in data and administrative tasks and ... read more

Unveiling gene modules at Atlas scale through hierarchical clustering of single-cell data.

Nature communications May 26, 2026

A major challenge in single-cell RNA sequencing (scRNA-seq) analysis is recovering biologically meaningful cell ontology trees and conserved gene modules across datasets. Data integration and batch-effect correction methods have enabled effective ana... read more

Detection of maxillary sinusitis of endodontic origin in cone-beam CT images using deep learning algorithms.

Scientific reports May 26, 2026

Cone-Beam Computed Tomography (CBCT) scans were retrospectively collected and examined to acquire a balanced dataset representative of Normal Maxillary Sinus (NMS), Maxillary Sinusitis of Endodontic origin (MSEO), and Maxillary Sinusitis of Non-Endod... read more

Artificial Intelligence Medical Compendium