AI Medical Compendium

Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings.

Nature communications Aug 18, 2025

Malnutrition continues to be a major threat to health, particularly maternal and child health in low resource settings, resulting in impairments in cognitive function, growth, and development, and metabolic diseases later in life. Nutritional assessm... read more

Structural equation modeling for influencing factors on behavioral intention to adopt medical AI among Chinese nurses: a nationwide cross-sectional study.

BMC nursing Aug 18, 2025

BACKGROUND: Artificial intelligence (AI) shows great potential to improve clinical nursing practices. However, concerns and challenges related to its implementation have led to resistance among nurses, hindering the widespread use of AI tools in heal... read more

Lattice O-O ligands in Fe-incorporated hydroxides enhance water oxidation electrocatalysis.

Nature chemistry Aug 18, 2025

Understanding the structural dynamics of ligands and their interaction with catalytic centres under reaction conditions remains a fundamental challenge, yet it is essential for catalyst design. Here we reveal an in situ transformation of Ni-Fe hydrox... read more

Promotion of recovery from Traumatic Brain Injury (TBI) by Granulocyte Colony-Stimulating Factor (G-CSF) treatment requires cannabinoid receptor type 2 activity.

Journal of cannabis research Aug 18, 2025

Granulocyte colony-stimulating factor (G-CSF) has the capacity to enhance brain repair following various injuries to brain. G-CSF treatment after TBI in rodents has been reported to promote brain repair, hippocampal neurogenesis, and behavioral recov... read more

Research on the impact of artificial intelligence applications on agricultural green development.

Scientific reports Aug 18, 2025

A good ecological environment represents the most inclusive form of people's well-being, and it is also the greatest advantage and precious asset in rural areas. Therefore, it is of great significance to accelerate the green development of agricultur... read more

AI-driven prediction of insulin resistance in non-diabetic populations using minimal invasive tests: comparing models and criteria.

Diabetology & metabolic syndrome Aug 18, 2025

BACKGROUND: Insulin resistance is a key precursor to diabetes and increases the risk of cardiovascular diseases. Traditional assessment methods rely on multiple invasive tests. Developing an AI model based on minimally invasive tests, especially usin... read more

Deep fusion of incomplete multi-omic data for molecular mechanism of Alzheimer's disease.

Scientific reports Aug 18, 2025

Multi-omics data provides a comprehensive view of biological systems and enables researchers to uncover intricate molecular mechanisms underlying complex diseases. However, multi-omic data is often incomplete and joint modeling of multi-omics data wi... read more

Beyond the surface of capacity building: a mixed-methods study of the core functions and forms of dissemination and implementation science consultations.

Implementation science communications Aug 18, 2025

BACKGROUND: The number of Dissemination and Implementation Science (DIS) capacity building programs is increasing worldwide. These programs aim to enhance diverse DIS skills through a variety of activities. Our team's systematic review of DIS program... read more

Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism.

Insights into imaging Aug 18, 2025

OBJECTIVE: To develop PerAIDE, an AI-driven system for automated analysis of pulmonary perfusion blood volume (PBV) using dual-energy computed tomography pulmonary angiography (DE-CTPA) in patients with chronic pulmonary thromboembolism (CPE). read more

Machine learning-based detection of electrosurgical device-induced bleeding in laparoscopic videos of diaphragmatic hernia repair.

Surgical endoscopy Aug 18, 2025

BACKGROUND: Electrosurgical devices provide significant advantages for tissue dissection in laparoscopic procedures. However, achieving optimal hemostasis while minimizing tissue coagulation is challenging. Monitoring device-induced bleeding will pro... read more

Artificial Intelligence Medical Compendium