A5062482318- Clinical practice guidelines implementation
- Lung Cancer Diagnosis and Treatment
- Medical Research and Treatments
- Cancer Immunotherapy and Biomarkers
- Esophageal Cancer Research and Treatment
- Bladder and Urothelial Cancer Treatments
- Vehicle License Plate Recognition
- Library Science and Information Systems
- Esophageal and GI Pathology
- Digital Rights Management and Security
- Advanced Radiotherapy Techniques
Shandong First Medical University
2024
Shandong Tumor Hospital
2024
Third Affiliated Hospital of Sun Yat-sen University
2020
Sun Yat-sen University
2020
Hyperuricemia/gout is a common metabolic disease in China, which serious threat to people's health. In clinical practice, the standardization of prevention and diagnosis rate treat-to-target need be improved. There still lack education for patients about understanding guidelines, knowledge importance cooperating with doctors carry out treatment. From most concerned issues patients, we established hyperuricemia/gout patient practice guideline working group multidisciplinary physicians...
Purpose: This study aims to identify risk factors associated with symptomatic radiation pneumonitis (RP, Grade ≥ 2) following immunotherapy preceding thoracic radiotherapy (ICI-TRT) and establish safe dose constraints. Patients Methods: retrospective enrolled patients diagnosed non-small-cell lung cancer (NSCLC) who underwent (TRT) immune checkpoint inhibitors (ICIs) treatment. The primary endpoint was the occurrence of RP (Grade 2), as defined by Common Terminology Criteria for Adverse...
Chain of Thought prompting strategy has enhanced the performance Large Language Models (LLMs) across various NLP tasks. However, it still shortcomings when dealing with complex reasoning tasks, following~\citet{cot_wei}, including understanding errors, calculation errors and process (e.g. missing-step hallucinations). Subsequently, Our in-depth analysis error types found that deeply whole problem is critical in addressing complicated In this paper, we proposed a novel prompt called Deeply...