Artificial Intelligence Medical Compendium

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

Showing 1,691 to 1,700 of 200,546 articles

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

Scientific reports May 30, 2026
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 May 30, 2026
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 May 30, 2026
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 May 30, 2026
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 May 30, 2026
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 May 30, 2026
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 May 30, 2026
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 

Deep hybrid architecture for multi-class detection of network layer attacks in WSN.

Scientific reports May 30, 2026
The growth of Wireless Sensor Networks (WSNs) in essential fields such as health care, defense, and environmental monitoring poses severe cybersecurity threats, specifically to the network layer. Network layer attacks such as Blackhole, Flooding, and... read more 

Screening of the key gene PAMR1 in breast cancer and its immunological and pharmacogenomic characteristics.

Discover oncology May 30, 2026
Breast cancer (BC) is a highly heterogeneous malignancy with a complex pathogenesis involving multiple molecular pathways and cellular interactions. The tumor microenvironment (TME) plays a crucial role in this process, but the functions of immune an... read more 

Evaluating Elicit's systematic reviews workflow in an umbrella review on air pollution and acute lower respiratory infections: a methodological study for quality appraisal.

BMC medical research methodology May 30, 2026
BACKGROUND: The exponential growth of scientific publications has increased the complexity of evidence synthesis. Systematic reviews remain essential but highly resource-intensive. Large language models (LLMs) offer new opportunities to support or pa... read more 
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