Latest AI and machine learning research in medicolegal for healthcare professionals.
In medical practices across the United States, physicians have begun implementing generative artificial intelligence (AI) tools to perform the function of scribes in order to reduce the burden of documenting clinical encounters. Despite their widespread use, no established methods exist to gauge the quality of AI scribes. To address this gap, we developed a blinded study comparing the relative p...
There are now a multitude of AI-scribing solutions for healthcare promising the utilization of large language models for ambient documentation. However, these AI scribes still rely on one-shot, or few-shot prompts for generating notes after the consultation has ended, employing little to no reasoning. This risks long notes with an increase in hallucinations, misrepresentation of the intent of th...
In 2019, Chi Mei Hospital built a private cloud AI service framework, incorporating HIS interface web service, data retrieval web service, and AI web ...
Demand for nursing care will intensify in the coming decades based on demographics, chronic diseases, multimorbidity and other health-related issues. ...
Since its introduction, federated learning (FL) has attracted a lot of attention in the medical field, but its actual application in healthcare organi...
Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthcare, particularly using Machine Learning (ML) mode...
The choice of the optimal printing setup for Fused Deposition Modeling (FDM) 3D-printing technology is challenging due to complex interactions between...
Low-technology characterization of material surfaces poses a challenge of significant importance for many scientific fields such as medical implants, ...
In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to study and potentially manipulate blood flow dynamics, ...
Microwave thermochemotherapy (MTC) has been applied to treat lip squamous cell carcinoma (LSCC), but a deeper understanding of its therapeutic mechani...
BACKGROUND: Artificial intelligence (AI) has the potential to revolutionize clinical decision-making and significantly improve patient outcomes in out...
To better integrate into processes like rapid adaptive planning and quality assurance, this study aims to propose a lightweight and universal proton s...
Since the early 1970s, technology has increasingly become integrated into the healthcare field. Today, artificial intelligence (AI) and machine learni...
Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the population, and approximately 250,000 arthroscopic ...
The integration of machine-learning technologies into radiology practice has the potential to significantly enhance diagnostic workflows and patient c...
Natural language generation (NLG) is the key technology to achieve generative artificial intelligence (AI). With the breakthroughs in large language...
The recent proliferation of photorealistic images created by generative models has sparked both excitement and concern, as these images are increasi...
As artificial intelligence systems grow more capable and autonomous, frontier AI development poses potential systemic risks that could affect societ...
Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing medicine and improving surgical precision. However, it...
Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, decision-making, and patient outcomes. This commentary emphasizes th...