Xingyuan Li
A5032166111- Artificial Intelligence in Healthcare and Education
- Systemic Sclerosis and Related Diseases
- Salivary Gland Disorders and Functions
- Salivary Gland Tumors Diagnosis and Treatment
- Clinical Reasoning and Diagnostic Skills
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Galectins and Cancer Biology
- Inflammasome and immune disorders
- Atherosclerosis and Cardiovascular Diseases
- AI in cancer detection
- Lymphoma Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Sichuan University
2024
First Affiliated Hospital of Henan University
2024
West China Hospital of Sichuan University
2024
Università Campus Bio-Medico
2022
Peking Union Medical College Hospital
1996
Chinese Academy of Medical Sciences & Peking Union Medical College
1996
To characterize 414 patients with primary SS who developed haematological malignancies and to analyse how the main SS- lymphoma-related features can modify presentation patterns outcomes.By January 2021, Big Data Sjögren Project Consortium database included 11 966 fulfilling 2002/2016 classification criteria. Haematological diagnosed according World Health Organization (WHO) were retrospectively identified.There (355 women, mean age 57 years) (in 43, malignancy preceded at least one year...
<sec> <title>BACKGROUND</title> Artificial intelligence (AI) has shown great promise in assisting medical diagnosis, but its application renal pathology remains limited. </sec> <title>OBJECTIVE</title> We evaluated the performance of an advanced AI language model, Claude 3 Opus (Anthropic), generating diagnostic descriptions for pathological images. <title>METHODS</title> carefully curated a dataset 100 representative images from <i>Diagnostic Atlas Renal Pathology</i> (3rd...
Background Artificial intelligence (AI) has shown great promise in assisting medical diagnosis, but its application renal pathology remains limited. Objective We evaluated the performance of an advanced AI language model, Claude 3 Opus (Anthropic), generating diagnostic descriptions for pathological images. Methods carefully curated a dataset 100 representative images from Diagnostic Atlas Renal Pathology (3rd edition). The image selection aimed to cover wide spectrum common diseases,...
<h3>Objectives</h3> To correlate the main features at diagnosis with survival in a multicenter international cohort of patients primary Sjögren syndrome (SS). <h3>Methods</h3> The Big Data Project was formed 2014 to take “high-definition” picture SS by merging databases (9302 consecutive recruited from 21 countries 5 continents) <h3>Results</h3> about last visit available 6240 (5831 women, mean age 53yrs, 82% White). After follow-up 7.1yrs, 407 (6%) died. Patients who died were more...