Artificial Intelligence Medical Compendium

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

Showing 65,161 to 65,170 of 231,904 articles

AI of the Beholder: How Surgical and Medical Specialties View Intelligent Technology.

Surgical innovation
BackgroundHow clinicians conceptualize artificial intelligence reveals underlying assumptions about professional authority and decision-making. This study examined whether surgical and medical specialties frame AI differently in research and if such ... read more 

From Recognition to Action: Integrating Deep Learning and Robotic Control in Transthoracic Echocardiography.

Ultrasound in medicine & biology
Population aging has driven a rise in heart failure cases, increasing the clinical burden on cardiac diagnostics. As a first-line imaging method, transthoracic echocardiography (TTE) faces limitations due to operator dependence, patient variability, ... read more 

Chemical Biology Drives Membrane-Curvature-Sensing Peptide Probes for Extracellular Vesicle Capture and Applications.

Biochemistry
Extracellular vesicles (EVs) are nanosized lipid bilayer vesicles released by all cells. EVs carry nucleic acids, proteins, lipids, and metabolites in intercellular communication. As potential liquid-biopsy biomarkers and drug-delivery vehicles for d... read more 

Weight-bearing computed tomography volumetric analysis for diagnosis of syndesmotic instability: A new standard of care?

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Assessing the severity and clinical impact of syndesmotic injury, especially when subtle, remains among the most diagnostically challenging conditions in foot and ankle orthopaedics. The distal tibiofibular syndesmosis is a complex, three-dimensional... read more 

Mechanism-informed machine learning for individualized tacrolimus dose adjustment in the early post-kidney transplant period.

British journal of clinical pharmacology
AIM: Tacrolimus dosing in the early post-kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism-informed machine l... read more 

Current treatment options for perinatal depression.

Current opinion in obstetrics & gynecology
PURPOSE OF REVIEW: Perinatal depression (PND) affects up to one in five patients and is the leading cause of maternal mortality, yet remains underdiagnosed and undertreated. This review provides an updated, clinically relevant synthesis on screening,... read more 

MedSlice: fine-tuned large language models for secure clinical note sectioning.

JAMIA open
OBJECTIVES: Extracting sections from clinical notes is crucial for downstream analysis but is challenging due to variability in formatting and labor-intensive nature of manual sectioning. This study develops a pipeline for automated note sectioning u... read more 

Integration of interpretable multi-features and multi-loss functions for multi-functional therapeutic peptide prediction via dataset construction.

Computational biology and chemistry
Multi-functional therapeutic peptides (MFTP) play a crucial role in drug development, exhibiting properties such as anti-cancer, anti-inflammatory effects, and more. Artificial intelligence-based predictors have been developed to identify MFTP and ac... read more 

Nano-AI synergy in food chemistry: smart analytical tools for quality, safety, and nutritional profiling.

Food chemistry
The convergence of nanotechnology and artificial intelligence (AI) is revolutionizing the landscape of food chemistry, quality control, and nutritional assessment. This review explores the synergistic potential of Nano-AI platforms in enhancing food ... read more