Latest AI and machine learning research in patient safety / risk management for healthcare professionals.
OBJECTIVES: To analyze the methodological quality of studies on deep learning (DL) in rib fracture i...
Artificial Intelligence (AI) is rapidly being implemented into clinical practice to improve diagnost...
BACKGROUND: Disclosure of AI use is seen as a sign of the author's honesty and commitment to the pri...
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates ...
Palmprint recognition has recently garnered attention due to its high accuracy, strong robustness, a...
The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and eth...
In his recent paper Hatherley discusses four reasons given to support mandatory disclosure of the us...
It is commonly accepted that clinicians are ethically obligated to disclose their use of medical mac...
RATIONALE AND OBJECTIVES: Large language models (LLMs) show promise in radiology through various cli...
BACKGROUND: The opioid crisis remains a critical public health challenge, with opioid use disorder (...
The lack of Equity, Diversity, and Inclusion (EDI) principles in the lifecycle of Artificial Intelli...
As highly autonomous mobile robots increasingly integrate into workplaces, they still require human ...
Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diag...
The number of prediction models proposed in the biomedical literature has been growing year on year....
As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) ...
In the field of healthcare, artificial intelligence (AI)-assisted solutions can be viewed with anxie...
Nephrology research plays an important role in advancing our understanding of kidney disease and imp...
Postpartum hemorrhage (PPH) is a leading cause of maternal mortality worldwide, and the ability to p...
Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...
Ensuring healthy aging and extending health span is critical, particularly in aging societies. This ...
Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML...