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Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis.
Interact J Med Res
January 2025
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.
Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.
Clozapine for Treatment-Resistant Disruptive Behaviors in Youths With Autism Spectrum Disorder Aged 10-17 Years: Protocol for an Open-Label Trial.
JMIR Res Protoc
January 2025
Graduate Program of Psychiatry and Behavioral Sciences, Department of Psychiatry, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition emerging in early childhood, characterized by core features such as sociocommunicative deficits and repetitive, rigid behaviors, interests, and activities. In addition to these, disruptive behaviors (DB), including aggression, self-injury, and severe tantrums, are frequently observed in pediatric patients with ASD. The atypical antipsychotics risperidone and aripiprazole, currently the only Food and Drug Administration-approved treatments for severe DB in patients with ASD, often encounter therapeutic failure or intolerance.
View Article and Find Full Text PDFLearning too much from too little: False face stereotypes emerge from a few exemplars and persist via insufficient sampling.
J Pers Soc Psychol
January 2025
Booth School of Business, The University of Chicago.
Face stereotypes are prevalent, consequential, yet oftentimes inaccurate. How do false first impressions arise and persist despite counter-evidence? Building on the overgeneralization hypothesis, we propose a domain-general cognitive mechanism: insufficient statistical learning, or Insta-learn. This mechanism posits that humans are quick statistical learners but insufficient samplers.
View Article and Find Full Text PDFSuspect and Nontarget Analysis of Per- and Polyfluoroalkyl Substances in Groundwater Underlying Different Land-Use Areas.
Environ Sci Technol
January 2025
MOE Key Laboratory of Groundwater Quality and Health, School of Environmental Studies, China University of Geosciences, Wuhan 430078, China.
Groundwater can be contaminated by PFAS emissions, yet research on the presence and associated risks of PFAS in groundwater underlying different land-use areas remains limited. Herein, high-resolution mass spectrometry-based suspect and nontarget analyses were performed to determine PFAS occurrence in groundwater samples obtained from a rural area, a planting region, and the vicinities of a pharmaceutical park, an airport, and an industrial park in Datong City, China. A total of 31 PFAS (16 emerging and 15 legacy PFAS) were identified, and the ΣPFAS concentrations ranged from 0.
View Article and Find Full Text PDFEfficacy of rituximab as second-line therapy for autoimmune encephalitis: A systematic review and meta-analysis.
Heliyon
January 2025
Department of Emergency, Dali Bai Autonomous Prefecture People's Hospital, Dali, Yunnan, 671000, China.
Background: Approximately 20%-50 % of individuals with autoimmune encephalitis (AE) demonstrate suboptimal responses to first-line therapies, leading to persistent neurological deficits and the need for second-line interventions. Although rituximab has shown potential as an alternative treatment in AE, the existing evidence remains insufficient. This study systematically evaluated and meta-analyzed the efficacy of rituximab in AE patients who either failed or exhibited inadequate responses to first-line treatments, aiming to refine and optimize therapeutic strategies for AE.
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