ArticleMedComm2025
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Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Advances in sirtuin research in lung diseases (Review).International journal of molecular medicine · 2026Review
- Artificial intelligence in thoracic surgery: a narrative review of clinical advances and applications in 2025.Journal of thoracic disease · 2026Review
- Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- A leakage-controlled and SHAP driven machine learning framework for paediatric respiratory disease classification using Indian hospital EHR data.BMC medical informatics and decision making · 2026Article
- Innovative Applications and Challenges of Artificial Intelligence in the Whole-Course Management of Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2026Review
- Physicians' perceptions of how digital-intelligent medical technology reshapes job characteristics: a qualitative study.BMC health services research · 2025Article
- Artificial Intelligence in Thoracic Surgery: A Review Bridging Innovation and Clinical Practice for the Next Generation of Surgical Care.Journal of clinical medicine · 2025Review
- Article
- Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study.JMIR formative research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Hengrui LiangDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Tao YangGuangzhou National Laboratory Guangzhou China.
Zihao LiuDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Wenhua JianDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Yilong ChenDepartment of Research and Developement Tianpeng Technology Co. Ltd Guangzhou China.
Bingliang LiDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Zeping YanDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Weiqiang XuDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Luming ChenGuangzhou National Laboratory Guangzhou China.
Yifan QiSchool of Health Policy and Management Nanjing Medical University Nanjing China.
Zhiwei WangDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Yajing LiaoDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Peixuan LinDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Jiameng LiDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Wei WangDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Li LiDepartment of Respiratory Disease The First People's Hospital of Kashi Prefecture Kashi China.
Meijia WangDepartment of Respiratory and Critical Care Medicine National Clinical Research Center of Respiratory Disease Key Laboratory of Pulmonary Diseases of Health Ministry Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan Hubei China.
YunHui ZhangDepartment of Respiratory Disease The First People's Hospital of Yunnan Province Kunming China.
Lizong DengSchool of Health Policy and Management Nanjing Medical University Nanjing China.
Taijiao JiangGuangzhou National Laboratory Guangzhou China.
Jianxing HeDepartment of Thoracic Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease the Key laboratory of Advanced Interdisciplinary Studies Center the First Affiliated Hospital of Guangzhou Medical University Guangzhou China.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory diseases pose a significant global health burden, with challenges in early and accurate diagnosis due to overlapping clinical symptoms, which often leads to misdiagnosis or delayed treatment. To address this issue, we developed
Indexed as
artificial intelligence (AI)electronic medical records (EHRs)natural language processing (NLP)respiratory diseases
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Registered trials
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.