{
    "abstract": "Given the biases and ethical concerns of AI models, the fully automatic diagnosis of diseases in clinical settings is challenging. In contrast, clinician-AI collaboration is considered essential to ensure the validity and reliability of utilizing AI models in clinical practice. However, effective strategies for clinician-AI collaboration remain largely unexplored.\nThis study proposed a three-step general clinician-AI collaboration pipeline aimed at improving disease diagnosis efficiency: first, utilizing large real-world clinical datasets to evaluate and clarify clinicians' diagnostic strengths/weaknesses; second, developing an AI model to complement clinicians' weakness in disease diagnosis; and finally, proposing a clinician-AI collaboration strategy to leverage the strengths of both AI and clinicians. The effectiveness of this pipeline was validated through a study focusing on clinical paroxysmal atrial fibrillation (PAF) detection, utilizing 24-h Holter recordings from over 30,000 patients.\nIn PAF detection, clinicians alone required a significant amount of time to identify the data and still overlooked 13.7% of PAF patients but successfully identified all non-atrial fibrillation (AF) patients. Conversely, AI alone rarely missed PAF patients but misidentified 23.3% of non-AF patients as having PAF. After implementing the proposed clinician-AI collaboration strategy, all patients were correctly identified, and clinicians' workload was reduced by 76.7%.\nThis study improves both the efficiency and reliability of PAF detection, bridging the gap between AI model development and its clinical application, thereby effectively promoting the application of AI models in clinical AF screening.\nThis study was supported in part by the National Natural Science Foundation of China.",
    "authors": [
        {
            "affiliation": "Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.",
            "firstname": "Peng",
            "initials": "P",
            "lastname": "Zhang"
        },
        {
            "affiliation": "Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.",
            "firstname": "Fan",
            "initials": "F",
            "lastname": "Lin"
        },
        {
            "affiliation": "Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Cardiovascular Center, Liyuan Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430077, China.",
            "firstname": "Fei",
            "initials": "F",
            "lastname": "Ma"
        },
        {
            "affiliation": "Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.",
            "firstname": "Yuting",
            "initials": "Y",
            "lastname": "Chen"
        },
        {
            "affiliation": "Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.",
            "firstname": "Yuhang",
            "initials": "Y",
            "lastname": "Liu"
        },
        {
            "affiliation": "Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.",
            "firstname": "Xiaoli",
            "initials": "X",
            "lastname": "Feng"
        },
        {
            "affiliation": "Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.",
            "firstname": "Siyi",
            "initials": "S",
            "lastname": "Fang"
        },
        {
            "affiliation": "Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.",
            "firstname": "Haowei",
            "initials": "H",
            "lastname": "Zhang"
        },
        {
            "affiliation": "Cardiovascular Center, Liyuan Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430077, China.",
            "firstname": "Shuna",
            "initials": "S",
            "lastname": "Xiao"
        },
        {
            "affiliation": "Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.",
            "firstname": "Xiangli",
            "initials": "X",
            "lastname": "Yang"
        },
        {
            "affiliation": "United Imaging Surgical Healthcare Co., Ltd., Wuhan, Hubei 430206, China.",
            "firstname": "Dun",
            "initials": "D",
            "lastname": "Li"
        },
        {
            "affiliation": "Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.",
            "firstname": "Dao Wen",
            "initials": "DW",
            "lastname": "Wang"
        },
        {
            "affiliation": "Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China. Electronic address: yangxiaoyun321@126.com.",
            "firstname": "Xiaoyun",
            "initials": "X",
            "lastname": "Yang"
        },
        {
            "affiliation": "Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics and Molecular Imaging Key Laboratory, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China. Electronic address: liqiang8@hust.edu.cn.",
            "firstname": "Qiang",
            "initials": "Q",
            "lastname": "Li"
        }
    ],
    "conclusions": null,
    "copyrights": "Copyright \u00a9 2025 The Author(s). Published by Elsevier Inc. All rights reserved.",
    "doi": "10.1016/j.medj.2025.100668",
    "journal": "Med (New York, N.Y.)",
    "keywords": [
        "Holter monitoring",
        "Translation to patients",
        "artificial intelligence in medicine",
        "atrial fibrillation",
        "atrial fibrillation detection",
        "atrial fibrillation screening",
        "clinician-AI collaboration",
        "deep learning",
        "diagnostic AI model",
        "electrocardiogram",
        "segmentation model"
    ],
    "methods": null,
    "publication_date": "2025-04-13",
    "pubmed_id": "40220757",
    "results": null,
    "title": "Clinician-artificial intelligence collaboration: A win-win solution for efficiency and reliability in atrial fibrillation diagnosis.",
    "xml": "<Element 'PubmedArticle' at 0x788504a61580>"
}