International journal of medical informatics
Jun 3, 2025
BACKGROUND: Artificial intelligence (AI) is transforming healthcare, yet many physicians struggle with its understanding and adoption. Existing research often overlooks developing countries like Turkey and rarely focuses on physicians caring for pedi...
BACKGROUND: Critically ill patients in intensive care units (ICUs) require continuous monitoring, generating vast amounts of data. Clinical decision support systems (CDSS) leveraging artificial intelligence (AI) technologies have shown promise in imp...
BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetes mellitus and has become the most important cause of end-stage renal disease (ESRD). In light of the rising prevalence of diabetes, there is a growing imperativ...
The American journal of emergency medicine
Apr 14, 2025
BACKGROUND: Blood gas interpretation is critical in emergency settings. Large language models like ChatGPT are increasingly used in clinical contexts, but their accuracy in interpreting arterial blood gases (ABGs) requires further validation.
Journal of the Chinese Medical Association : JCMA
Mar 14, 2025
BACKGROUND: This study investigates the performance of ChatGPT-3.5 and ChatGPT-4 in answering medical questions from Taiwan's Physician Licensing Exam, ranging from basic medical knowledge to specialized clinical topics. It aims to understand these a...
British journal of clinical pharmacology
Mar 11, 2025
AIMS: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical ...
BACKGROUND: The increasing use of artificial intelligence (AI) in medical diagnosis and consultation promises benefits such as greater accuracy and efficiency. However, there is little evidence to systematically test whether the ideal technological p...
IMPORTANCE: Limited qualitative studies exist evaluating ambient artificial intelligence (AI) scribe tools. Such studies can provide deeper insights into ambient AI implementations by capturing lived experiences.
In the medical field, text annotation involves categorizing clinical and biomedical texts with specific medical categories, enhancing the organization and interpretation of large volumes of unstructured data. This process is crucial for developing to...
Developments in ambulatory electrocardiogram (ECG) technology have led to vast amounts of ECG data that currently need to be interpreted by human technicians. Here we tested an artificial intelligence (AI) algorithm for direct-to-physician reporting ...
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