Artificial Intelligence Medical Compendium

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

Showing 7,341 to 7,350 of 206,272 articles

Automated evaluation can distinguish the good and bad AI responses to patient questions about hospitalization.

NPJ digital medicine
Automated approaches to answer patient-posed health questions are rising, but selecting among systems requires reliable evaluation. The current gold standard for evaluating the free-text artificial intelligence (AI) responses-human expert review-is l... read more 

PromptSE: drug side effect prediction with LLM-derived pharmacological representations.

Scientific reports
Predicting drug-side effect associations is vital for drug discovery and patient safety. Accurate prediction requires high-quality representations of both drugs and side effects. While drug representations have advanced due to rich structured data, s... read more 

Machine learning-based discovery of GW3965 as a therapeutic compound against invasive emm92-type group A Streptococcus.

npj antimicrobials and resistance
A multi-drug resistant emm92-type strain of group A Streptococcus (GAS) has emerged as an important causative agent of invasive infections-particularly affecting people who inject drugs-in the United States. To curtail this developing threat, we aime... read more 

Mapping the role of artificial intelligence in health-related stigma: a scoping review.

NPJ digital medicine
Stigma remains a major barrier to equitable health and well-being, while artificial intelligence (AI) is increasingly recognized as a tool with both potential and risk in addressing this challenge. However, research on AI and stigma is fragmented acr... read more 

AI image generation technology for visual communication design.

Scientific reports
This study addresses two key challenges in applying artificial intelligence (AI) image generation to visual communication design: insufficient alignment with design requirements and unstable style controllability. It systematically explores the integ... read more 

Innovative teaching in legal medicine through forensic simulation: a case-based educational project.

International journal of legal medicine
In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality constraints and the complexity of real cases. This paper describes a forensic simulation conducted at t... read more 

Proteomic profiling of bone for the estimation of post-mortem interval and post-mortem submersion interval: a systematic review.

International journal of legal medicine
Accurate estimation of the Post-Mortem Interval (PMI) and Post-Mortem Submersion Interval (PMSI) remains a persistent challenge in forensic science, especially when traditional morphological and entomological methods fail due to advanced decompositio... read more 

Relationship between ileocolic arterial stump length and lymph node yield - a retrospective study using machine learning.

Langenbeck's archives of surgery
PURPOSE: In right-sided colon cancer surgery, ileocolic artery stump length may reflect the extent of mesenteric resection and lymph node harvest. This study evaluated the association between postoperative stump length measured on CT, lymph node yiel... read more 

Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.

International microbiology : the official journal of the Spanish Society for Microbiology
Although hypertriglyceridemia (HTG) is a significant contributor to lipid-associated pathologies such as atherosclerotic cardiovascular disease, its regulation by host‒microbiome interactions remain insufficiently characterized. While the gut microbi... read more 

PRIME: An evaluation framework for protein representation inference and generalization in viral mutation space.

BMC genomics
BACKGROUND: Protein language models (PLMs) have revolutionized protein fitness prediction, yet their application to rapidly evolving viral pathogens is often confounded by extreme sequence homology. This homology leads to "data leakage" in standard r... read more