Effective prompt design for large language models in clinical #practice

Large language models ( ) have emerged as transformative healthcare tools for clinical documentation, diagnostic reasoning, and medical education. However, effective utilization requires understanding prompt engineering principles—the strategic design of inputs to optimize performance while mitigating hallucination, bias, and outdated information.MethodsThis narrative review synthesizes evidence from a structured PubMed search through December 2025 using… Continue reading Effective prompt design for large language models in clinical #practice

Understanding #Migration Intentions of Albanian #Physicians and Nurses

Introduction: Migration from Albanian healthcare professionals to Western countries has been widespread since Albania emerged from communism in 1991. The migration of Albanian physicians and nurses has significant impacts on the country's healthcare system.Objective: The manuscript addresses the migration intentions of Albanian healthcare professionals, including and nurses focusing on their inclination to emigrate to… Continue reading Understanding #Migration Intentions of Albanian #Physicians and Nurses

The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education

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

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

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