Artificial Intelligence Medical Compendium

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

Showing 38,401 to 38,410 of 223,469 articles

The Effect of Parrot Therapy on During Venipuncture Pain in Chronic Patients.

Pain management nursing : official journal of the American Society of Pain Management Nurses
OBJECTIVE: There are no randomized controlled trial (RCT) in the current literature comparing live, robotic, and visual animal-based therapies. This single-blind randomized controlled trial was conducted to comparatively evaluate the effectiveness of... read more 

Approaching Diversity in Anatomical Education through Metaverse.

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
BACKGROUND: Human anatomy is a foundational and indispensable subject within health sciences education, particularly for students pursuing careers in medicine and nursing. The metaverse, a technological concept leveraging immersive technology, connec... read more 

Explainable MRI radiomics of the basal ganglia and ventral midbrain distinguishes Parkinson's disease, SWEDD, and healthy controls.

NeuroImage
Distinguishing scans without evidence of dopaminergic deficit (SWEDD) from Parkinson's disease (PD) remains challenging on routine MRI. We extracted 1,285 radiomic features from T1- and T2-weighted MRI within six a priori subcortical regions of inter... read more 

Clinically Confirmed Cohort Reveals Antioxidant Genetic Polymorphisms as Potential Susceptibility Factors for Long COVID After Mild or Asymptomatic COVID-19.

Free radical biology & medicine
Although the COVID-19 pandemic has now been down-graded, long COVID (LC) presents an ongoing risk of long-term disease for a significant percentage of the population, even after mild or no symptoms upon infection. LC post-viral effects have been asso... read more 

Pediatric Firearm Risk Prediction in Trauma Centers and After Discharge: A Machine Learning Analysis.

Journal of pediatric surgery
OBJECTIVE: We used machine learning (ML) to develop firearm risk prediction models for injured children and adolescents admitted to U.S. trauma centers, including prediction of death after discharge among survivors of firearm injury. METHODS: We used... read more 

Identification of MHC ligands through allele-guided isolation combined with machine learning for improved MHC assignment using ARDisplay-I.

Molecular & cellular proteomics : MCP
The isolation of MHC ligands and subsequent analysis by mass spectrometry is considered the gold standard for defining targets for T cell-based immunotherapies. However, as many targets of high tumor specificity are only presented at low abundance on... read more 

Automated Detection of Middle Mesial Canals in Mandibular Molars on CBCT Using nnU-Net: A Retrospective Diagnostic Accuracy Study.

Journal of endodontics
BACKGROUND: This study aimed to develop and validate a fully three-dimensional (3D) convolutional neural network (3D-CNN) for automated detection of the mid-mesial canal (MMC) in mandibular molars on cone-beam computed tomography (CBCT). METHODS: In ... read more 

Toward animal-free approaches in subcutaneous drug delivery: A pain management case study.

Journal of controlled release : official journal of the Controlled Release Society
Subcutaneous (s.c.) administration offers practical advantages for long-acting drug delivery, yet its complex tissue environment, lack of standardized models, and limited regulatory guidance pose challenges for predicting pharmacokinetics (PK). Here,... read more