Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 49,161 to 49,170 of 224,513 articles

Human Brain High-Resolution Diffusion MRI With Optimized, Slice-By-Slice, Zeroth and First Order B 0 $$ {B}_0 $$ Shimming in Head-Only High-Gradient MRI Systems.

Magnetic resonance in medicine
PURPOSE: To propose a brain tissue-selective, optimized slice-by-slice B 0 $$ {B}_0 $$ shimming for high-resolution brain diffusion MRI. METHODS: We incorporated actual gradient fields of the X $$ X $$ , Y $$ Y $$ , and Z $$ Z $$ imaging ... read more 

Using machine learning to identify parenting features prospectively related to callous-unemotional traits from infancy to early adolescence.

Psychological medicine
BACKGROUND: Parenting is related to the development of callous-unemotional (CU) traits (i.e. low empathy and restricted guilt), making it an important target of interventions for childhood conduct problems (CPs). However, the relative importance of d... read more 

Challenges in Bringing Pangenome Research Into Breeding: A Case Study in Rice.

Plant biotechnology journal
Crop breeding has entered the pangenomics era, unlocking a far more comprehensive view of genetic diversity than a single reference genome can capture. In rice (Oryza sativa), a staple crop critical to global food security, the construction of pangen... read more 

Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Artificial intelligence (AI) continues to rapidly transform the practice of medicine, with clinicians increasingly adopting data-driven decision-making aids and diagnostic support tools. Orthopaedic physicians are well poised to harness the capabilit... read more 

Filtering Trust: Disclosing the Role of Artificial Intelligence Decreases Trust in Technology, but Does Not Prevent Harm to Body Image After Viewing AI-Generated Content.

The International journal of eating disorders
OBJECTIVES: Despite the rapid growth of generative artificial intelligence (AI), virtually no research exists examining the psychological impacts of viewing or interacting with AI-generated images of people. Additionally, it remains relatively unknow... read more 

Artificial Intelligence (AI) guidance for authors, peer reviewers, and editors: A content analysis of journal policies.

Accountability in research
This study aims to examine how scholarly journals advise authors, peer reviewers, and journal editors about the acceptable use of artificial intelligence (AI) in the scholarly publishing process.Methods: Using a content analysis method, policies from... read more 

In Situ Transmission Electron Microscopy Visualization of Electric-Field-Induced Phase Transitions at the Morphotropic Phase Boundary in Hf0.5Zr0.5O2.

ACS nano
Understanding electric-field-induced phase transitions is crucial for optimizing the ferroelectric and antiferroelectric properties of hafnium zirconium oxide (Hf0.5Zr0.5O2, HZO) thin films. Here, we use in situ transmission electron microscopy (TEM)... read more 

Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on computed tomography scans.

Diabetes, obesity & metabolism
AIMS: The combined assessment of multiple abdominal imaging traits in relation to type 2 diabetes remains incompletely characterised. The study examines these relationships on computed tomography (CT) scans from a large-scale, racially diverse, disea... read more 

Response to Doty 2025, Predicting Odor from Structure is Useful.

Chemical senses
Doty (2025) provides a thorough historical review of odor classification but underestimates recent advances in quantifying odor space. He argues that odor qualities are cognitive constructs that do not map well to physicochemical properties. While od... read more