Artificial Intelligence Medical Compendium

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

Showing 6,871 to 6,880 of 205,891 articles

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

medRxiv
Background Bacterial fitness is shaped by interactions between genome variation and environmental context, yet how these interactions determine its predictability and heritability remains unclear. In the clinically important pathogens of Klebsiella p... read more 

Towards A Foundation Model for Clinical Voice Biomarkers

medRxiv
Vocal biomarkers, encompassing voice and speech, have largely been developed for individual conditions in isolation, limiting their generalizability across diseases and recording settings. To address this, we introduce VoiceFM, a contrastive model th... read more 

Deep learning optimisation for cardiology: Neural Architecture Search-driven arrhythmia classification with electrocardiograms

medRxiv
Cardiovascular disease is the leading cause of death worldwide. Sudden cardiac death (SCD) accounts for roughly 50% of all cardiac deaths. The electrocardiogram (ECG) is widely used for early diagnosis of cardiac disease. However, the complexity of a... read more 

The Verification Gap: Artificial Intelligence Adoption, Hallucination Awareness, and Verification Practices Among Early Career Medical Researchers in Pakistan

medRxiv
Artificial intelligence (AI) tools have been rapidly adopted by medical researchers, yet whether early career researchers in low and middle income countries possess the awareness and habits needed to use these tools safely remains poorly documented. ... 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 

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

Scientific reports
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
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
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