AI Medical Compendium

Development and Validation of an Explainable MRI-Based Habitat Radiomics Model for Predicting p53-Abnormal Endometrial Cancer: A Multicentre Feasibility Study.

Journal of imaging informatics in medicine Aug 4, 2025

We developed an MRI-based habitat radiomics model (HRM) to predict p53-abnormal (p53abn) molecular subtypes of endometrial cancer (EC). Patients with pathologically confirmed EC were retrospectively enrolled from three hospitals and categorized into ... read more

Developing a simple artificial intelligence fuzzy-based model for estimating saturated hydraulic conductivity of soil.

Scientific reports Aug 4, 2025

Saturated hydraulic conductivity is one of the important physical properties of soil in modeling water and solute transport, irrigation management, and drainage issues. Laboratory and field methods for directly measuring this parameter are time-consu... read more

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.

Physical and engineering sciences in medicine Aug 4, 2025

Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and evaluate the performance of our previously-developed deep learning-based model called MaligNet in helping nuclear medicine (NM) physicians interpret bo... read more

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Endocrinology and metabolism (Seoul, Korea) Aug 4, 2025

Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional fracture risk assessment methods. Conventional approaches, such as bone mineral density measurement and established clinical risk calculators, provide ... read more

Association between exposure to air pollution and kidney function decline.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Aug 4, 2025

BACKGROUND AND HYPOTHESIS: Chronic kidney disease is a major global health concern, with air pollution increasingly recognized as a key contributor to kidney function decline. This study hypothesizes that exposure to air pollution accelerates kidney ... read more

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines.

Nature methods Aug 4, 2025

Recent research in deep-learning-based foundation models promises to learn representations of single-cell data that enable prediction of the effects of genetic perturbations. Here we compared five foundation models and two other deep learning models ... read more

The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods.

BMC infectious diseases Aug 4, 2025

BACKGROUND: Acute cholangitis (AC) presents with significant clinical heterogeneity, and existing severity classifications have limited prognostic value in critically ill patients. Subtypes of AC in critically ill patients have not been investigated. read more

Humans Prognosis Retrospective Studies Critical Illness Intensive Care Units Female Aged Male Middle Aged Unsupervised Machine Learning Acute Disease Cholangitis

AI-powered technologies in physical education: impact on physical and psycho-emotional well-being of students.

The Journal of general psychology Aug 4, 2025

The main research goal is to analyze artificial intelligence (AI) technologies integrated into college physical education and their impact on the physical and psycho-emotional well-being of students, as well as their satisfaction with physical traini... read more

Unraveling global malaria incidence and mortality using machine learning and artificial intelligence-driven spatial analysis.

Scientific reports Aug 4, 2025

Malaria remains a significant global health concern, contributing to substantial morbidity and mortality worldwide. To inform efforts aimed at alleviating the global malaria burden, this study utilized spatial analysis, advanced machine learning (ML)... read more

Humans Artificial Intelligence Machine Learning Global Health Incidence Malaria Spatial Analysis

Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.

Nature communications Aug 4, 2025

Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge for super-resolution microscopy, owing to the noticeable phototoxicity and limited scanning speed. While emerging light-field microscopy can mitigate t... read more

Humans Deep Learning Imaging, Three-Dimensional Lysosomes Mitochondria Microscopy HeLa Cells Endoplasmic Reticulum Mitochondrial Dynamics

Artificial Intelligence Medical Compendium