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http://dx.doi.org/10.1007/s11695-022-06234-2 | DOI Listing |
Cureus
August 2025
Family Medicine, Chino Valley Medical Center, Chino, USA.
This case presents a 25-year-old Indian male with no significant past medical history presenting to the emergency department (ED) due to two weeks of productive cough with pleuritic chest pain. The patient presented one week earlier to the ED; however, he left against medical advice and was given a 5-day course of Azithromycin 250 mg that minimally improved his symptoms. He returned to the ED shortly after completing the antibiotics and was admitted for further evaluation.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Department of Radiology, Stanford University, Stanford, California, USA.
In March of 2025, 145 attendees convened at the Hub for Clinical Collaboration of the Children's Hospital of Philadelphia for the inaugural International Society for Magnetic Resonance in Medicine (ISMRM) Body MRI Study Group workshop entitled "Body MRI: Unsolved Problems and Unmet Needs." Approximately 24% of the attendees were MD or MD/PhD's, 45% were PhD's, and 30% were early-career trainees and postdoctoral associates. Among the invited speakers and moderators, 28% were from outside the United States, with a 40:60% female-to-male ratio.
View Article and Find Full Text PDFContraception
September 2025
School of Nursing, The University of North Carolina at Chapel Hill. Electronic address:
Background: Chatbots are increasingly utilized in the healthcare landscape, including in sexual and reproductive health (SRH). These tools have shown significant potential in enhancing accessibility to health education and services, particularly with the addition of artificial intelligence. This commentary explores the utilization of chatbots for delivering SRH care, assessing their potential to impact health equity and access within rural and underserved settings and evaluating their effectiveness and safety.
View Article and Find Full Text PDFLiver Int
October 2025
Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany.
Background And Aims: Large language models (LLMs) can potentially support clinicians in their daily routine by providing easy access to information. Yet, they are plagued by stating incorrect facts and hallucinating when queried. Increasing the context by providing external databases while prompting LLMs may decrease the risk of misinformation.
View Article and Find Full Text PDFPharmacy (Basel)
July 2025
R. Ken Coit College of Pharmacy, University of Arizona, 1295 N. Martin Ave., Tucson, AZ 85721, USA.
As artificial intelligence (AI) becomes increasingly utilized to perform tasks requiring human intelligence, patients who are pregnant may turn to AI for advice on over-the-counter (OTC) medications. However, medications used in pregnancy may pose profound safety concerns limited by data availability. This study focuses on a chatbot's ability to accurately provide information regarding OTC medications as it relates to patients that are pregnant.
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