Artificial Intelligence Medical Compendium

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

Showing 4,791 to 4,800 of 174,202 articles

SCORCH2: A Generalized Heterogeneous Consensus Model for High-Enrichment Interaction-Based Virtual Screening.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 20, 2025
The discovery of effective therapeutics remains a complex, costly, and time-consuming endeavor, characterized by high failure rates and significant resource investments. A central bottleneck in early-stage drug discovery is identifying suitable hit c... read more 

Visual language transformer framework for multimodal dance performance evaluation and progression monitoring.

Scientific reports Aug 20, 2025
Dance is often perceived as complex due to the need for coordinating multiple body movements and precisely aligning them with musical rhythm and content. Research in automatic dance performance assessment has the potential to enhance individuals' sen... read more 
Humans Neural Networks, Computer Language Psychomotor Performance Music Dancing

Telehealth Simulations with Generative Artificial Intelligence in Midwifery Education: Practice for Person-Centered and Culturally Responsive Care.

Journal of midwifery & women's health Aug 20, 2025
The International Confederation of Midwives Essential Competencies and the American College of Nurse-Midwives Core Competencies for Basic Midwifery Practice include essential skills needed for safe entry-level practice and provision of person-centere... read more 

[Minimally invasive liver surgery: current trends and future perspectives].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025
In recent years, the continuous optimization of minimally invasive surgical instruments and equipment for liver procedures, coupled with advancements in surgeons' technical expertise and theoretical frameworks, has propelled the personalized and prec... read more 

Predicting post-liver transplantation mortality: a retrospective cohort study on risk factor identification and prognostic nomogram construction.

European journal of medical research Aug 20, 2025
BACKGROUND: To identify risk factors for post-transplant mortality and develop a machine learning-integrated prognostic tool to optimise clinical decision-making in liver transplantation (LT) recipients. read more 
Humans Prognosis Retrospective Studies Female Risk Factors Adult Male Middle Aged Risk Assessment Postoperative Complications Nomograms Liver Transplantation End Stage Liver Disease

Construction of A Novel 5-Dye Fluorescent Multiplex System With 30 Y-STRs for Patrilineal Relationship Prediction.

Electrophoresis Aug 20, 2025
Nowadays, Y chromosome short tandem repeats (Y-STRs) are widely used in forensic medicine practice, which has great significance for ancestry tracing, male lineage evolution, and male paternal relatives. Rapidly mutating Y-STRs (RM Y-STRs) have been ... read more 

[Evolution of China's clinical guidelines for primary liver cancer: insights into the development of hepatocellular carcinoma management].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025
Since the publication of China's first national"Clinical Practice Guidelines for Primary Liver Cancer"in 2011,the management of hepatocellular carcinoma has evolved from standardization to individualization,from single-discipline decision-making to m... read more 

Automatic detection of cognitive events using machine learning and understanding models' interpretations of human cognition.

Scientific reports Aug 20, 2025
The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cog... read more 
Humans Machine Learning Female Young Adult Adult Male Cognition Emotions Memory, Short-Term Attention Pupil Arousal

Nanopore sequencing of intact aminoacylated tRNAs.

Nature communications Aug 20, 2025
The intricate landscape of tRNA modification presents persistent analytical challenges, which have impeded efforts to simultaneously resolve sequence, modification, and aminoacylation state at the level of individual tRNAs. To address these challenge... read more 
Machine Learning Sequence Analysis, RNA Amino Acids RNA, Transfer Nanopore Sequencing Transfer RNA Aminoacylation

Micronutrients are associated with endoscopic postoperative recurrence in Crohn's disease: a multicenter prospective cohort study in North america.

Journal of Crohn's & colitis Aug 20, 2025
BACKGROUND AND AIMS: Diet may influence the disease course in inflammatory bowel disease, but its role in postoperative outcomes for Crohn's disease (CD) remains unclear. This study aimed to assess the association of macro- and micronutrient intake w... read more 
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