In this article, we explore the transformative potential of artificial intelligence (AI) in medical education and continuing medical education. We discuss the rapid evolution of AI technology, particularly generative AI and large language models, and their implications for teaching and learning. We emphasize the importance of AI literacy, ethical considerations, and evidence-based approaches to integrating… Continue reading The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education
Category: practice
Beyond human ears: navigating the uncharted risks of #AI scribes in clinical #practice
Artificial intelligence (AI) scribes have been rapidly adopted across health systems, driven by their promise to ease the documentation burden and reduce clinician burnout. While early evidence shows efficiency gains, this commentary cautions that adoption is outpacing validation and oversight. Without greater scrutiny, the rush to deploy AI scribes may compromise patient safety, clinical integrity,… Continue reading Beyond human ears: navigating the uncharted risks of #AI scribes in clinical #practice
#Thimerosal as a #Vaccine #Preservative
Preventing #pressure #ulcers by increasing pressure: An unorthodox alternating-pressure mattress
Despite the devastating effects of pressure ulcers (PUs), little is understood about how they can be prevented using alternating-pressure (AP) mattresses. Such mattresses typically aim to minimize the pressures imparted while alternating between different states of pressure to prevent areas of tissue from being persistently occluded of blood flow. In this work, we built an… Continue reading Preventing #pressure #ulcers by increasing pressure: An unorthodox alternating-pressure mattress
Human– #AI collectives most accurately #diagnose #clinical vignettes
Large language models (LLMs) have great potential for high-stakes applications such as medical diagnostics but face challenges including hallucinations, biases, and lack of common sense. We address these limitations through a hybrid human–AI system that combines physicians’ expertise with LLMs to generate accurate differential medical diagnoses. Analyzing over 2,000 text-based medical case vignettes, hybrid collectives… Continue reading Human– #AI collectives most accurately #diagnose #clinical vignettes
Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting
Question Is clinical use of artificial intelligence (AI)–generated draft radiograph reports associated with documentation efficiency, clinical accuracy, textual quality, and ability to promptly detect pneumothorax requiring intervention?Findings In this cohort study, in 11 980 model-assisted radiograph interpretations in live clinical care, model use was associated with a 15.5% documentation efficiency improvement, with no change in radiologist-evaluated… Continue reading Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting
Does #oral #hygiene prevents nosocomial #infections in hospitalized patients? A systematic review and meta-analysis
Background: This study aimed to evaluate the impact of oral hygiene (OH) with chlorhexidine (CHX) on the evolution of nosocomial infections (NI).Material and methods: Electronic searches were carried out in PubMed, Scopus, Cochrane Library, Web of Science, VHL, and Grey Literature databases. Randomized clinical trials were included. Methodological quality and risk of bias were assessed… Continue reading Does #oral #hygiene prevents nosocomial #infections in hospitalized patients? A systematic review and meta-analysis
#Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
PurposeThis study sought to explore the practical application and effectiveness of AI-generated responses in healthcare and compared these with human clinician responses to complex medical queries in the USA and Australia. The study identifies strengths and limitations of AI in clinical settings and offers insights into its potential to enhance healthcare delivery.Design/methodology/approachA comparative analysis used… Continue reading #Artificial #intelligence vs human #clinicians: a comparative analysis of complex medical query handling across the USA and Australia
Evaluation of an Ambient Artificial Intelligence Documentation Platform for #Clinicians
Importance The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform.Objective To understand clinician experience before and after implementing ambient AI.Design, Setting, and Participants This quality improvement study was a pilot evaluation with before and after survey and EHR metrics conducted… Continue reading Evaluation of an Ambient Artificial Intelligence Documentation Platform for #Clinicians
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