A5100378569- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Biomedical Text Mining and Ontologies
- Medical Imaging and Analysis
- Metabolomics and Mass Spectrometry Studies
- Healthcare Systems and Public Health
- COVID-19 diagnosis using AI
- Electronic Health Records Systems
- AI in cancer detection
- Traditional Chinese Medicine Studies
- Machine Learning in Healthcare
- Topic Modeling
- Healthcare Systems and Reforms
- Traditional Chinese Medicine Analysis
- Artificial Intelligence in Healthcare
- Meta-analysis and systematic reviews
- Surgical Simulation and Training
Peking University
2023
Peking University Cancer Hospital
2023
Florida State University
2021
Southwest Medical University
2016-2019
Chinese Academy of Medical Sciences & Peking Union Medical College
2019
First Affiliated Hospital of Sichuan Medical University
2016
The recent developments of foundation models in computer vision, especially the Segment Anything Model (SAM), allow scalable and domain-agnostic image segmentation to serve as a general-purpose tool. In parallel, field medical has benefited significantly from specialized neural networks like nnUNet, which is trained on domain-specific datasets can automatically configure network tailor specific challenges. To combine advantages models, we present nnSAM, synergistically integrates SAM model...
The molecule 3-(3,4-dihydroxyphenyl)-2-hydroxypropanoic acid (danshensu), a herbal preparation used in traditional Chinese medicine, has been found to possess potential antitumor and anti-angiogenesis effects. aim of the present study was investigate efficacy combination radiation therapy (RT) with danshensu treatment Lewis lung carcinoma (LLC) xenografts, whilst exploring evaluating mechanism involved. In total, 8-week old female C57BL/6J mice were randomly assigned into 3 groups receive:...
ChatGPT is an artificial intelligence model that has the potential to revolutionize field of endoscopy. It can rapidly summarize medical records, assist with diagnosis, provide patient communication support, and even understand endoscopic images. However, there are limitations, including risk inaccurate or inappropriate responses, privacy security issues, limit doctors' thinking. Further research improvements needed ensure ChatGPT's safe use in field. Overall, benefits endoscopy vast, it...
<sec> <title>BACKGROUND</title> Acute abdominal pain (AAP) is a common complaint and can be caused by broad spectrum of diseases. Mis-diagnosis or delay lead to severe complications increased mortality. The diagnostic performance AAP remains sub-optimal. </sec> <title>OBJECTIVE</title> We aimed develop an artificial intelligence (AI) system for diagnosis, evaluate the efficacy system. <title>METHODS</title> consisted 164 feature extraction models 1 disease prediction model. will first match...
<sec> <title>BACKGROUND</title> Natural language processing (NLP) is an important traditional field in computer science, but its application medical research has faced many challenges. With the extensive digitalization of information globally and increasing importance understanding mining big data field, NLP becoming more crucial. </sec> <title>OBJECTIVE</title> The goal was to perform a systematic review on use with aim global progress outcomes, content, methods, study groups involved....