A5068649224- Artificial Intelligence in Healthcare and Education
- Machine Learning in Healthcare
- Dementia and Cognitive Impairment Research
- Chronic Disease Management Strategies
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Cancer Immunotherapy and Biomarkers
- Healthcare professionals’ stress and burnout
- Neurogenesis and neuroplasticity mechanisms
- Immunotherapy and Immune Responses
- Chemokine receptors and signaling
- Ethics in Clinical Research
- Healthcare cost, quality, practices
- Nerve injury and regeneration
- Monoclonal and Polyclonal Antibodies Research
- Heart Failure Treatment and Management
- Digital Media and Visual Art
- Interpreting and Communication in Healthcare
- Clinical Reasoning and Diagnostic Skills
- Ear and Head Tumors
- Hip and Femur Fractures
- Genetics and Neurodevelopmental Disorders
- Neuroscience and Neural Engineering
- Tracheal and airway disorders
- Healthcare Technology and Patient Monitoring
West China Medical Center of Sichuan University
2023-2025
Bioscience (China)
2024
Sichuan University
2022-2024
Bristol-Myers Squibb (United States)
2023
West China Hospital of Sichuan University
2023
National Institutes of Health
2002
Eunice Kennedy Shriver National Institute of Child Health and Human Development
1999-2002
George Washington University
1999-2002
ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In decision support, been used to generate accurate differential diagnosis lists, support decision-making, optimize provide insights for cancer screening decisions. addition, intelligent question-answering reliable information about diseases medical queries. terms documentation, proven effective generating patient letters, radiology reports, notes, discharge summaries, improving...
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed proactively prevent harm. presents challenges from legal, humanistic, algorithmic, and informational perspectives. Legal ethics concerns arise the unclear allocation of responsibility when patient harm occurs breaches privacy due data collection. Clear rules legal boundaries are needed properly allocate liability protect users. Humanistic disruption physician-patient relationship, humanistic...
Background Burnout among health care professionals is a significant concern, with detrimental effects on service quality and patient outcomes. The use of the electronic record (EHR) system has been identified as contributor to burnout professionals. Objective This systematic review meta-analysis aims assess prevalence associated EHR system, thereby providing evidence improve information systems develop strategies measure mitigate burnout. Methods We conducted comprehensive search PubMed,...
Glial cell line-derived neurotrophic factor (GDNF) is known for its potent effect on neuronal survival, but role in the development and function of synapses not well studied. Using <i>Xenopus</i> nerve-muscle co-cultures, we show that GDNF family member neurturin (NRTN) facilitate neuromuscular junction (NMJ). Long-term application significantly increased total length neurites motoneurons. also caused an increase number size synaptic vesicle clustering, as demonstrated by synaptobrevin-GFP...
Artificial intelligence models tailored to diagnose cognitive impairment have shown excellent results. However, it is unclear whether large linguistic can rival specialized by text alone.
<sec> <title>UNSTRUCTURED</title> Large language models (LLMs) present a promising avenue for improving healthcare by enhancing clinical decision making. However, their effectiveness heavily relies on the accurate prompt engineering. This review focuses understanding and optimizing engineering techniques to guide LLMs in producing clinically relevant responses. The aim is provide clinicians with tools fully utilize practice, ensuring patient-centered care addressing ethical operational...
Abstract Background AI models tailored to diagnose cognitive impairment have shown excellent results. However, it is unclear whether large linguistic can rival specialized by text alone. Objectives We would explore the effectiveness of ChatGPT for primary screening mild (MCI) and standardize design steps components prompt. Methods obtained 174 participants from DementiaBank classified 70% them into training set 30% test set. Three dimensions variables were incorporated, including:...
Introduction CM313 is currently under clinical investigation for treatments of multiple myeloma, systemic lupus erythematosus, and immune thrombocytopenia. We aimed to report the preclinical profile novel therapeutic anti-CD38 monoclonal antibody (mAb) CM313, with an emphasis on difference other CD38-targeting mAb. Methods The binding CD38 recombinant protein across species was assessed using ELISA. CD38-positive (CD38 + ) cells detected flow cytometry assays. CM313-induced...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder posing challenges to patients, caregivers, and society. Accessible accurate information crucial for effective AD management.
<sec> <title>UNSTRUCTURED</title> ChatGPT is receiving increasing attention and has a variety of application scenarios in clinical practice. In decision support, been used to generate accurate differential diagnosis lists, support decision-making, optimize provide insights for cancer screening decisions. addition, intelligent question-answering reliable information about diseases medical queries. terms documentation, proven effective generating patient letters, radiology reports, notes,...
<sec> <title>BACKGROUND</title> Artificial intelligence models tailored to diagnose cognitive impairment have shown excellent results. However, it is unclear whether large linguistic can rival specialized by text alone. </sec> <title>OBJECTIVE</title> In this study, we explored the performance of ChatGPT for primary screening mild (MCI) and standardized design steps components prompts. <title>METHODS</title> We gathered a total 174 participants from DementiaBank classified 70% them into...
<sec> <title>BACKGROUND</title> Deep learning (DL) prediction models hold great promise in the triage of COVID-19. </sec> <title>OBJECTIVE</title> We aimed to evaluate diagnostic test accuracy DL for assessing and predicting severity <title>METHODS</title> searched PubMed, Scopus, LitCovid, Embase, Ovid, Cochrane Library studies published from December 1, 2019, April 30, 2022. Studies that used assess or predict COVID-19 were included, while those without analysis dichotomies excluded....
<p>PDF file - 239K, Figure S4. A, Expression of PD-1 in CD4 T cells during mixed lymphocyte reaction (MLR). B, and PD-L1 stimulation peripheral blood mononuclear (PBMC) by superantigen SEB.</p>
<p>PDF file - 400K</p>
<sec> <title>UNSTRUCTURED</title> ChatGPT has promising applications in health care, but potential ethical issues need to be addressed proactively prevent harm. presents challenges from legal, humanistic, algorithmic, and informational perspectives. Legal ethics concerns arise the unclear allocation of responsibility when patient harm occurs breaches privacy due data collection. Clear rules legal boundaries are needed properly allocate liability protect users. Humanistic disruption...
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder that poses significant challenges to patients, caregivers, and society. Effective management requires accurate accessible information tailored individual needs. ChatGPT, natural language processing model, has shown promise in various medical applications but not been evaluated for addressing AD questions.Methods: The research team identified 14 questions related the prevention, treatment care of disease. These...
Backgroud Alzheimer's disease (AD) is a progressive neurodegenerative disorder that poses significant challenges to patients, caregivers, and society. Effective management requires accurate accessible information tailored individual needs. ChatGPT, natural language processing model, has shown promise in various medical applications but not been evaluated for addressing AD questions.Methods: The research team identified 14 questions related the prevention, treatment care of disease. These...
Objective This retrospective cohort study aimed to identify reasons and risk factors associated with 30-day readmission after otolaryngology-head neck surgery propose preventive measures. Design The was conducted at a large single academic tertiary care center in China, analyzing cases of inpatient from August 2019 December 2021. Setting tertiary-care hospital China. Participants included adult patients who underwent experienced readmissions. Main outcome measures main measured the analysis...
Summary This study evaluates the efficacy of GPT-4 in screening for Mild Cognitive Impairment (MCI) elderly, comparing it with junior neurologists. MCI is a precursor to dementia, presenting significant public health concern due rising global aging population. With over 55 million people affected by dementia worldwide, early detection essential timely intervention. Common tools, while effective, are resource-intensive, highlighting need more efficient methods. The used an exploratory design...