Artificial Intelligence Medical Compendium

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

Showing 8,501 to 8,510 of 208,216 articles

Innovation research on college students' mental health management system based on internet of things technology.

Scientific reports
The mental health management of college students is a challenging process due to its inconsistent variations and action-dependent observations. However, for personal and mental stability and psychological assessment of students, the inconsistent ment... read more 

Analyzing Global Threat of Lumpy Skin Disease Virus Infection: A Comparative Study of a Time Series Model and Machine Learning Models Across 10 High-Risk Countries.

Current microbiology
Lumpy Skin Disease (LSD), caused by the Lumpy Skin Disease Virus (LSDV), which is a part of the family of Poxviridae, subfamily Chordopoxviridae, and genus Capripoxvirus, is a rapidly spreading viral infection impacting mainly cattle globally, causin... read more 

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 

Exploratory Comparison of Meld, Meld-Na, and Meld 3.0 Scores for Prognostic Assessment at Diagnosis in Hepatocellular Carcinoma Using Machine Learning Approaches.

Digestive diseases and sciences
BACKGROUND: Hepatocellular carcinoma (HCC) is the most common primary liver tumor. Despite efforts to mitigate risk factors and implement surveillance programs in high-risk populations, such as screening, these strategies alone appear insufficient to... read more 

MRI-based deep learning radiomics model for automated classification of disc degeneration in the lumbar spine.

Scientific reports
Disc degeneration in the lumbar spine is a major cause of low back pain (LBP). The accurate grading of disc degeneration on magnetic resonance imaging (MRI) is critical for clinical management and patient selection for spine surgery. This study aims ... read more 

Advancing child health: forecasting the next great research achievements.

Pediatric research
Advances in pediatric research have improved the lives of infants, children, adolescents, and society at large. A decade ago the American Academy of Pediatrics identified seven research achievements in the past 40 years that reduced morbidity and mor... read more