Artificial Intelligence Medical Compendium

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

Showing 73,261 to 73,270 of 235,503 articles

Identification and Verification of SLC6A15 Involved in Keloid via Bioinformatics Analysis and Machine Learning.

Biochemical genetics
Keloid is a fibroproliferative disorder that poses a challenge in clinical management. This study aims to identify and functionally annotate differentially expressed genes (DEGs) in keloid and explore the potential role of SLC6A15. The data were obta... read more 

Artificial Intelligence in Microsurgical Education: A Systematic Review of Its Role in Training Surgeons.

Journal of reconstructive microsurgery
BACKGROUND: Microsurgery is associated with a steep learning curve that requires extensive training through supervised surgeries, cadaver practice, and simulations. The emergence of artificial intelligence (AI) in medical education offers a new poten... read more 

First-Person Plural (Versus Singular) Pronoun Use Is Linked to Greater Perception of AI Threat.

Personality & social psychology bulletin
Artificial intelligence (AI) brings immediate benefits but also raises potential risks. Despite much discussion on AI threat, how subtle linguistic cues, such as first-person pronouns, influence its perception remains unclear. Proposing a scope-expan... read more 

Intraductal Papillary Mucinous Neoplasm and Pancreatic Cancer: Opportunity Knocks Twice.

The American journal of gastroenterology
Pancreatic cystic lesions are widely recognized as harbingers of pancreatic cancer. Intraductal papillary mucinous neoplasm (IPMN) is the most common type of cystic lesion, offering promising avenues for early diagnosis of pancreatic cancer. Although... read more 

Evaluating Dynamic Smile Outcomes of Free Gracilis Muscle Transfer in Pediatric Facial Palsy Using Image-Based Analysis.

Journal of reconstructive microsurgery
BACKGROUND: Facial nerve palsy in children leads to significant functional impairment and facial asymmetry. While free gracilis muscle transfer (FGMT) is a cornerstone technique for smile reanimation in both pediatric and adult patients, its evaluati... read more 

Classification of Brain Tumors in MRI Images with Brain-CNXSAMNet: Integrating Hybrid ConvNeXt and Spatial Attention Module Networks.

Interdisciplinary sciences, computational life sciences
Brain tumors (BT) can cause fatal outcomes by affecting body functions, making precise early detection via magnetic resonance imaging (MRI) examinations critical. The complex variations found in cells of BT may pose challenges in identifying the type... read more 

Global genomics of Lactococcus lactis: horizontal gene transfer and intergenic variation drive multiple domestication and dairy adaptation.

Journal of advanced research
INTRODUCTION: Lactococcus lactis is a crucial lactic acid bacterium of great economically significance for cheese product. The species exhibits wildly distribution and significant genetic diversity, yet the underlying drivers of its differentiation r... read more 

Repeatability and Reproducibility of Artificial Imaging-based Digital Pathology for the Evaluation of Liver Fibrosis.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
BACKGROUND & AIMS: Fibrosis stage is a key determinant of outcomes in metabolic dysfunction-associated steatohepatitis (MASH). Assessment of fibrosis change is a critical component of the assessment of therapeutic efficacy of interventions. Conventio... read more 

AI fragment based optimization of saffron and chamomile phytochemicals as aryl hydrocarbon receptor inhibitors for dementia therapy an integrated computational approach.

Computational biology and chemistry
Dementia represents a rapidly rising global health challenge as a progressive neurodegenerative disease with few options for disease-modifyingtreatments. The present studyaimed to explore the leading phytochemicals from Crocus sativus (saffron) and M... read more 

U-Net and YOLOv8 Artificial Intelligence Models for Automated Recognition of Internal Jugular Veins and Radial Arteries: A Foundational Study for Artificial Intelligence-guided Vascular Cannulation inPoint-of-care Ultrasound.

Journal of cardiothoracic and vascular anesthesia
OBJECTIVES: This study compares the U-Net and You Only Look Once version 8 (YOLOv8) models for identifying internal jugular veins (IJVs) and radial arteries (RAs) in longitudinal and/or transversal ultrasound views, evaluating their vascular recognit... read more