Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Accurate prediction of stroke risk at an early stage is essential for timely intervention and preven...
The treatment of sepsis is challenging due to unclear mechanisms. Propionate is increasingly seen as...
Accurately predicting losses resulting from traffic accidents holds crucial significance for acciden...
Federated Learning (FL) enables artificial intelligence frameworks to train on private information w...
This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile a...
Identifying the presence of tumors at a very early stage or deciphering the process underlying their...
Developmental dysplasia of the hip (DDH) includes a range of conditions caused by inadequate hip joi...
Artificial intelligence (AI) can support patient-centered care in prevention and rehabilitation. In ...
BACKGROUND: An artificial intelligence algorithm-guided electrocardiogram (AI-ECG) has been develope...
This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses t...
Sebaceous gland carcinoma (SGC) and some poorly differentiated squamous cell carcinomas (SC) of the ...
Predicting students' grades through their classroom behavior has been a longstanding concern in educ...
Targeted muscle reinnervation (TMR) was initially developed as a technique for bionic prosthetic con...
Tumor immune microenvironment plays a crucial role in determining the prognosis of lung adenocarcino...
BACKGROUND: Crohn's disease (CD) is an incurable inflammatory bowel disease that can lead to a varie...
BACKGROUND: Crisis support services offer crucial intervention for individuals in acute distress, pr...
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this...
Polar codes are making significant progress in error-correcting coding due to their ability to reach...
Explainable AI has garnered significant traction in science communication research. Prior empirical ...
The rapid integration of artificial intelligence (AI) into healthcare has enhanced diagnostic accura...
Knee injuries are common in several people, frequently controlling for significant injuries and heal...