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Evaluation of Cannabis Per Se Laws: A Semi-Mechanistic Pharmacometrics Model for Quantitative Characterization of THC and Metabolites in Oral Users.
J Clin Pharmacol
January 2025
Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, University of Iowa, Iowa City, IA, USA.
Recreational cannabis use has increased notably in the United States in the past decade, with a recent surge in oral consumption. This trend has raised concerns about driving under the influence. Current cannabis-impaired driving laws lack standardization, with some states implementing blood Δ9-tetrahydrocannabinol (THC) per se limits (1, 2, and 5 ng/mL).
View Article and Find Full Text PDFAdvancements of AI in healthcare: a comprehensive review of ChatGPT's applications and challenges.
J Pak Med Assoc
January 2025
Department of Nutrition & Dietetics, School of Health Sciences, University of Management and Technology, Lahore, Pakistan.
The rapid integration of artificial intelligence into healthcare has introduced transformative possibilities and challenges. The current narrative review was planned to explore diverse applications of Chat Generative Pre-Trained Transformer (ChatGPT) across medical domains, ranging from dietary planning and disease management to medical education and clinical decision support. A comprehensive analysis of ChatGPT's healthcare applications was conducted between July and September 2023, reviewing literature from prominent medical journals and databases, including PubMed, Embase, Cochrane library and the Cumulated Index in Nursing and Allied Health Literature.
View Article and Find Full Text PDFThought-Feeling Accuracy in Person Perception and Metaperception: An Integrative Perspective.
Annu Rev Psychol
January 2025
Department of Psychology, Northeastern University, Boston, Massachusetts, USA.
People often want to know what their interaction partners are thinking. How accurate are they, what information do they use, what predicts how accurate they will be, and does accuracy matter? We organize our review of thought-feeling accuracy, defined as the accuracy of individuals' judgments about the content of another person's thoughts and feelings in live interaction, around these questions. At the same time, we argue that often people are especially interested in what others are thinking about them, such that research on the accuracy of individuals' metaperceptions regarding others' views of them is highly relevant to understanding thought-feeling accuracy more broadly construed.
View Article and Find Full Text PDFExploring the Ethical Implications of ChatGPT in Medical Education: Privacy, Accuracy, and Professional Integrity in a Cross-Sectional Survey.
Cureus
December 2024
Medical Education, ABWA Medical College, Faisalabad, PAK.
Background: The inclusion of artificial intelligence in medical education, specifically through the use of ChatGPT (OpenAI, San Francisco, CA), has transformed learning and generated many ethical questions. This study aims to analyze the medical students' ethical concerns about using ChatGPT in medical education, focusing on privacy, accuracy, and professional integrity.
Methods: The study format was a cross-sectional survey distributed to 219 medical students at ABWA Medical College, Pakistan.
Background: The COVID-19 pandemic has significantly strained healthcare systems globally, leading to an overwhelming influx of patients and exacerbating resource limitations. Concurrently, an "infodemic" of misinformation, particularly prevalent in women's health, has emerged. This challenge has been pivotal for healthcare providers, especially gynecologists and obstetricians, in managing pregnant women's health.
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