Qianling Dai
Biographic Data
| ID | 9558490 |
|---|---|
| NAME | Qianling Dai |
| GIVEN NAMES | Qianling |
| FAMILY NAME | Dai |
| SIGNATURE | DAI Q |
| AFFILIATIONS | Department of Diagnosis and Treatment for Cervical Diseases, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China |
| ORCID | 0009-0001-1735-2606 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Prevalence and genotype distribution of human papillomavirus infection among women in Chengdu, China between 2020 and 2024
Background Cervical cancer remains a significant threat to women’s health globally. This study aimed to investigate the epidemiological characteristics of human papillomavirus (HPV) infection among women in Chengdu, China, between 2020 and 2024, to provide localized evidence for guiding cervical cancer prevention and control strategies. Methods A retrospective analysis was conducted using HPV screening data from 51,556 women at Chengdu Women’s an…
Advancing medical education in cervical cancer control with large language models for multiple-choice question generation
OBJECTIVE: To explore the feasibility of using large language models (LLMs) to generate multiple-choice questions (MCQs) for cervical cancer control education and compare them with those created by clinicians. METHODS: GPT-4o and Baichuan4 generated 40 MCQs each with iteratively refined prompts. Clinicians generated 40 MCQs for comparison. 120 MCQs were evaluated by 12 experts across five dimensions (correctness, clarity and specificity, cognitiv…
No prominent works on this page.
Advancing medical education in cervical cancer control with large language models for multiple-choice question generation
OBJECTIVE: To explore the feasibility of using large language models (LLMs) to generate multiple-choice questions (MCQs) for cervical cancer control education and compare them with those created by clinicians. METHODS: GPT-4o and Baichuan4 generated 40 MCQs each with iteratively refined prompts. Clinicians generated 40 MCQs for comparison. 120 MCQs were evaluated by 12 experts across five dimensions (correctness, clarity and specificity, cognitiv…
Prevalence and genotype distribution of human papillomavirus infection among women in Chengdu, China between 2020 and 2024
Background Cervical cancer remains a significant threat to women’s health globally. This study aimed to investigate the epidemiological characteristics of human papillomavirus (HPV) infection among women in Chengdu, China, between 2020 and 2024, to provide localized evidence for guiding cervical cancer prevention and control strategies. Methods A retrospective analysis was conducted using HPV screening data from 51,556 women at Chengdu Women’s an…
AI in cancer detection (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Cancer (1 work) · Cervical cancer (1 work) · Cervical Cancer and HPV Research (1 work) · China (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Computer Science (1 work)