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http://dx.doi.org/10.1016/j.gastha.2025.100643 | DOI Listing |
JAMIA Open
October 2025
MCIT Department of Health Informatics, NYU Langone Health, New York, NY 10016, United States.
Objectives: Assess time impact and provider perception of AI-generated encounter summaries.
Materials And Methods: An artificial intelligence (AI) clinical note summarization tool was deployed in ambulatory practices for 22 providers. A 6-month pre-post analysis evaluated changes in EHR time, and survey feedback assessed tool utility.
Conserv Biol
September 2025
Didáctica y Organización Escolar, Departamento de Educación, Facultad de Ciencias de la Educación y Psicología, Universidad de Córdoba, Córdoba, Spain.
Front Psychiatry
August 2025
Mood and Anxiety Disorder Unit, Psychiatric Specialties Service, Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland.
Introduction: Intranasal Esketamine is an effective rapid-acting antidepressant currently used to treat treatment-resistant depression. Artificial intelligence is another emerging tool in medicine, but little is known about the effectiveness of combining these innovations in psychiatry.
Methods: This case report presents the outcome of a 37-year-old patient who received intranasal Esketamine treatment (84 mg) and utilized artificial intelligence (ChatGPT-4) to generate images and interpretations of his experiences with dissociation.
Front Oral Health
August 2025
Rural Dental and Oral Health Clinical Teaching School, La Trobe Rural Health School, Bendigo, Victoria, VIC, Australia.
Introduction: Artificial intelligence (AI) tools such as ChatGPT, Google Gemini, and Microsoft Copilot are increasingly relied upon by parents for immediate guidance on pediatric dental concerns. This study evaluated and compared the response quality of these AI platforms in addressing real-world parental queries related to pediatric dentistry, including early tooth extraction, space maintenance, and the decision to consult a pediatric or a general dentist.
Methods: A structured 30-question survey was developed and submitted to each AI model, and their responses were anonymized and assessed by pediatric dental experts using a standardized rubric across five key domains: clinical accuracy, clarity, completeness, relevance, and absence of misleading information.
Eur Heart J
August 2025
Department of Internal Medicine/Cardiology, Heart Center Leipzig at Leipzig University, Strümpellstr. 39, Leipzig 04289, Germany.