AI Medical Compendium

Color image security technique combining encryption and data hiding for healthcare applications.

Computer methods and programs in biomedicine Apr 24, 2026

BACKGROUND AND OBJECTIVE: With the rapid growth of internet technologies, the transmission and storage of multimedia data have become increasingly convenient. However, digital images, especially in the healthcare domain, are often more popular and se... read more

FKDNuSeg: Flawless knowledge distillation for lightweight and fast nuclei instance segmentation and classification.

Medical image analysis Apr 24, 2026

Nuclei segmentation and classification is a fundamental task in the field of computational pathology. Existing approaches have demonstrated outstanding performance. However, they still suffer from the efficiency problem due to the extremely huge reso... read more

Systematic review of machine learning and deep learning models for EEG-based detection of depression.

Journal of psychiatric research Apr 24, 2026

OBJECTIVE: Depression is a leading cause of global disability, motivating the development of objective and scalable diagnostic approaches. Quantitative electroencephalography (QEEG) combined with machine learning (ML) and deep learning (DL) technique... read more

A hybrid deep learning framework for accurate N6,2'-O-Dimethyladenosine site prediction.

Biophysical chemistry Apr 24, 2026

N6,2'-O-dimethyladenosine (m6Am) is a critical RNA modification that plays a pivotal role in regulating RNA stability, translation efficiency, and gene expression. Accurate computational identification of m6Am sites is essential for advancing epitran... read more

Artificial intelligence-based reclassification of gastric adenocarcinoma enables prognostic stratification via diffuse-type patch proportion.

International journal of medical informatics Apr 24, 2026

BACKGROUND: Gastric adenocarcinoma (GAC) remains a major global health burden with marked heterogeneity, complicating diagnosis and prognostic assessment. The Laurén classification, though widely used, suffers from interobserver variability, particul... read more

The ecological framework of population health - Adding public trust as a forcing factor for U.S. life expectancy and COVID-19 mortality.

Public health in practice (Oxford, England) Apr 24, 2026

OBJECTIVES: What are the factors that set the stage for health status and outcomes in the United States (U.S.)? This complex question is rarely considered in a comprehensive way. The current study employs an artificial intelligence analysis to assess... read more

Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.

EClinicalMedicine Apr 24, 2026

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder, with manifestations ranging from steatosis to steatohepatitis, advanced fibrosis, cirrhosis, and hepatocellular carcinoma. At all stages, M... read more

Artificial Intelligence for histopathological diagnosis and grading of breast cancer in Ethiopia.

Pathology, research and practice Apr 24, 2026

BACKGROUND: Recent advances in computational pathology enables AI-assisted diagnosis and risk stratification of breast cancer. This advance in technology will reduce the inconsistent reporting of breast cancer grading using Nottingham Histologic grad... read more

Ambient Artificial Intelligence in the Operating Room: From Passive Recording to Predictive Coordination.

Annals of surgery Apr 24, 2026

Machine Learning-Based Magnetocardiography Model Aids in Diagnosing Non-ST-Segment Elevation Acute Coronary Syndrome in Acute Chest Pain.

Balkan medical journal Apr 24, 2026

BACKGROUND: Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) is a leading cause of acute chest pain in clinical practice. Magnetocardiography (MCG) is a non-invasive and rapid functional imaging technique with high sensitivity to early, su... read more

Artificial Intelligence Medical Compendium