Latest AI and machine learning research in surveys for healthcare professionals.
This study scrutinizes free AI tools tailored for supporting literature review and analysis in acade...
OBJECTIVES: Leveraging artificial intelligence (AI) in conjunction with electronic health records (E...
Nutcracker phenomenon is the compression of the left renal vein between the superior mesenteric art...
Advances in machine learning for health care have brought concerns about bias from the research comm...
Artificial intelligence (AI) large language models (LLMs) hold great potential to transform psychiat...
Diagnostic codes in the Electronic Health Record (EHR) are known to be limited in reporting patient ...
Implicit bias can impede patient-provider interactions and lead to inequities in care. Raising aware...
Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well establishe...
To develop and test an NLP algorithm that accurately detects the presence of information reported f...
Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no c...
Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) ca...
One potential application of neural networks (NNs) is the early-stage detection of oral cancer. This...
Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...
To date, pure-tone audiometry remains the gold standard for clinical auditory testing. However, pure...
The aim of this study is to present the first Italian experience with robotic-assisted retrograde in...
The American Journal of Occupational Therapy (AJOT) has maintained its top-ranking status in the fie...
Urban climate model evaluation often remains limited by a lack of trusted urban weather observations...
BACKGROUND: Incorporating artificial intelligence (AI) into clinics brings the risk of automation bi...
Literacy in research studies of artificial intelligence (AI) has become an important skill for radio...
In recent years, deep learning (DL) has shown impressive performance in radiologic image analysis. H...
Understanding individual differences in theory of mind (ToM; the ability to attribute mental states ...