A Multiassessment and Multiprofessional Agents Approach for Medical Chatbot Risk Estimation: Development and Evaluation Study [PDF]
JMIR Medical InformaticsBackgroundAssessing chatbot responses across 3 domains—medical, ethical, and legal—is essential to ensuring the safe use of artificial intelligence in health care.
Lenard Paulo Velasco Tamayo +4 more
doaj +2 more sources
AI-driven telerehabilitation for older adults with mild cognitive impairment: a randomized controlled trial [PDF]
Frontiers in NeurologyIntroductionWith the rising prevalence of aging populations, accessible interventions for Mild Cognitive Impairment (MCI) are critical. MCI, a high-risk transitional state to dementia, is considered the most opportune window for intervention to maintain ...
Minsong Kim +3 more
doaj +2 more sources
Application of an artificial-intelligence–based transesophageal echocardiography simulation system in residency training [PDF]
Frontiers in SurgeryBackgroundTransesophageal echocardiography (TEE) is a key perioperative monitoring modality in anesthesiology, but traditional training is constrained by limited case exposure, patient safety concerns, and heterogeneous learning curves.
Meng Zhang +7 more
doaj +2 more sources
Comparative Impact of ChatGPT and Conventional Search Tools on Clinical Reasoning Performance: A Randomized Crossover Study in Preclinical Medical Students [PDF]
Advances in Medical Education and PracticeAdisak Nartthanarung,1 Komson Plangsiri,2 Pinkawas Kongmalai1 1Department of Orthopedics, Faculty of Medicine, Kasetsart University, Bangkok, Thailand; 2Department of Orthopaedics, Faculty of Medicine, Srinakharinwirot University, Nakhon Nayok ...
Nartthanarung A +2 more
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Evaluation of a Problem-Based Learning Program’s Effect on Artificial Intelligence Ethics Among Japanese Medical Students: Mixed Methods Study [PDF]
JMIR Medical EducationBackgroundThe rapid advancement of artificial intelligence (AI) has had a substantial impact on medicine, necessitating the integration of AI education into medical school curricula. However, such integration remains limited.
Yuma Ota +5 more
doaj +2 more sources
JMIR Medical Informatics, 2021 BackgroundIn the pediatric intensive care unit (PICU), quantifying illness severity can be guided by risk models to enable timely identification and appropriate intervention.
Niema Ghanad Poor +4 more
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“Teaching To the Test” Family of Fallacies
Revista Iberoamericana de Evaluación Educativa, 2017 This article explains the various meanings and ambiguities of the phrase “teaching to the test” (TttT), describes its history and use as a pejorative, and outlines the policy implications of the popular, but fallacious, belief that “high stakes” testing ...
Richard P. Phelps
doaj +1 more source
Develop an esthetic-zonal non-invasive periodontal assessment tool based on YOLOv8 and intraoral images [PDF]
PeerJ Computer ScienceObjective Non-periodontal specialists (e.g., orthodontists and prosthodontists) often struggle to efficiently monitor periodontal health in the anterior esthetic zone.
Jiawei Hong +5 more
doaj +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source