Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
OBJECTIVE: To evaluate the usage of a well-known and widely adopted checklist, Checklist for Artific...
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed...
Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic...
Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the...
There are two major areas for patient engagement in radiology artificial intelligence (AI). One is i...
PURPOSES: To review the uses of AI for magnetic resonance (MR) imaging assessment of primary pediatr...
Listening and being responsive to another's turns at disclosure are essential processes that occur a...
OBJECTIVE: Artificial Intelligence (AI) refers to the ability of machines to perform cognitive and i...
Much of the current attention on artificial intelligence (AI)-based natural language processing (NLP...
Access to large volumes of so-called whole-slide images-high-resolution scans of complete pathologic...
Given the impact artificial intelligence (AI)-based medical technologies (hardware devices, software...
Data are one of the important factors in artificial intelligence (AI). Moreover, in order for AI to ...
Current analysis techniques available for migration assays only provide quantitative measurements fo...
This letter to the editor suggests adding a technical point to the new editorial policy expounded by...
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespre...
PURPOSE: The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
Chest radiography (CXR), the most frequently performed imaging examination, is vulnerable to interpr...
Theabnormal behavior detection is the vital for evaluation of daily-life health status of the patien...
Traffic flow prediction is a key issue in intelligent transportation systems. The growing trend in d...
In recent years, the machine learning research community has benefited tremendously from the availab...