Digital Health to Patient-Facing Artificial Intelligence: Ethical Implications and Threats to Dignity for Patients With Cancer

被引:1
|
作者
Kelkar, Amar H. [1 ,2 ]
Hantel, Andrew [1 ,2 ,3 ,4 ]
Koranteng, Erica [2 ]
Cutler, Corey S. [1 ,2 ]
Hammer, Marilyn J. [3 ,5 ]
Abel, Gregory A. [1 ,2 ,3 ,4 ,6 ]
机构
[1] Dana Farber Canc Inst, Div Hematol Oncol, Boston, MA USA
[2] Harvard Med Sch, Boston, MA USA
[3] Dana Farber Canc Inst, Div Populat Sci, Boston, MA USA
[4] Harvard Med Sch, Ctr Bioeth, Boston, MA USA
[5] Dana Farber Canc Inst, Dept Nursing & Patient Care Serv, Boston, MA USA
[6] Dana Farber Canc Inst, Div Populat Sci & Hematol Oncol, 450 Brookline Ave, Boston, MA 02215 USA
关键词
STATE;
D O I
10.1200/OP.23.00412
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Ethical considerations for patient-facing AI for oncology: dignity, autonomy, safety, equity, inclusivity.
引用
收藏
页码:314 / 317
页数:5
相关论文
共 50 条
  • [41] Current issues regarding artificial intelligence in cancer and health care. Implications for medical physicists and biomedical engineers
    Marcu, Loredana G.
    Boyd, Chris
    Bezak, Eva
    HEALTH AND TECHNOLOGY, 2019, 9 (04) : 375 - 381
  • [42] Current issues regarding artificial intelligence in cancer and health care. Implications for medical physicists and biomedical engineers
    Loredana G. Marcu
    Chris Boyd
    Eva Bezak
    Health and Technology, 2019, 9 : 375 - 381
  • [43] Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review
    Yang, Xinyu
    Mu, Dongmei
    Peng, Hao
    Li, Hua
    Wang, Ying
    Wang, Ping
    Wang, Yue
    Han, Siqi
    JMIR MEDICAL INFORMATICS, 2022, 10 (04) : 36 - 46
  • [44] Retrospective chart analysis to determine the impact of a patient-facing digital risk stratification tool combined with a clinical screener for hereditary cancer genetic risk assessment triage in a community oncology clinic
    Shane-Carson, Kate P.
    Smith, Douglas
    Smith, Angie
    Seeley, Caroline
    JOURNAL OF COMMUNITY GENETICS, 2024, 15 (01) : 25 - 31
  • [45] Generative artificial intelligence and non-pharmacological bias: an experimental study on cancer patient sexual health communications
    Hanai, Akiko
    Ishikawa, Tetsuo
    Kawauchi, Shoichiro
    Iida, Yuta
    Kawakami, Eiryo
    BMJ HEALTH & CARE INFORMATICS, 2024, 31 (01)
  • [46] Transforming cancer clinical trials: The integral role of artificial intelligence in electronic health records for efficient patient recruitment*
    Nashwan, Abdulqadir J.
    Hani, Salam Bani
    CONTEMPORARY CLINICAL TRIALS COMMUNICATIONS, 2023, 36
  • [47] Artificial Intelligence Empowered Digital Twin and NFT-Based Patient Monitoring and Assisting Framework for Chronic Disease Patients
    Sai S.
    Gaur A.
    Hassija V.
    Chamola V.
    IEEE Internet of Things Magazine, 2024, 7 (02): : 101 - 106
  • [48] Valuing good health care: How medical doctors, scientists and patients relate ethical challenges with artificial intelligence decision-making support tools in prostate cancer diagnostics to good health care
    Hesjedal, Maria Bardsen
    Lyso, Emilie Hybertsen
    Solbjor, Marit
    Skolbekken, John-Arne
    SOCIOLOGY OF HEALTH & ILLNESS, 2024, 46 (08) : 1808 - 1827
  • [49] Artificial Intelligence for Identification of Radiation -Related Toxicities from the Electronic Health Records of Patients with Head and Neck Cancer
    Alfadli, F.
    Mathew, J. M.
    Waldron, J. N.
    Kwan, J. Y.
    Aviv, S.
    Nguyen, M. M.
    Mokriak, V.
    Pettengell, C.
    Wong, P.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2024, 120 (02): : E608 - E608
  • [50] Prediction of Brain Metastases Development in Patients With Lung Cancer by Explainable Artificial Intelligence From Electronic Health Records
    Li, Zhao
    Li, Rongbin
    Zhou, Yujia
    Rasmy, Laila
    Zhi, Degui
    Zhu, Ping
    Dono, Antonio
    Jiang, Xiaoqian
    Xu, Hua
    Esquenazi, Yoshua
    Zheng, W. Jim
    JCO CLINICAL CANCER INFORMATICS, 2023, 7