Artificial intelligence in healthcare: Opportunities come with landmines

被引:1
作者
Iqbal, Usman [1 ,2 ,3 ]
Hsu, Yi-Hsin Elsa [4 ,5 ,6 ,7 ]
Celi, Leo Anthony [8 ,9 ,10 ]
Li, Yu-Chuan [3 ,11 ,12 ,13 ]
机构
[1] Univ New South Wales UNSW, Fac Med & Hlth, Sch Populat Hlth, Sydney, NSW, Australia
[2] Taipei Med Univ, Coll Publ Hlth, Global Hlth & Hlth Secur Dept, Taipei, Taiwan
[3] Taipei Med Univ, Coll Med Sci & Technol, Int Ctr Hlth Informat Technol, Taipei, Taiwan
[4] Taipei Med Univ, Biotechnol Execut Masters Degree Business Adm BioT, Taipei, Taiwan
[5] Taipei Med Univ, Coll Management, Sch Healthcare Adm, Taipei, Taiwan
[6] Taipei Med Univ, Coll Management, Int Ph D Program Biotech & Healthcare Management, Taipei, Taiwan
[7] Taipei Med Univ, Coll Med, Sch Med, Dept Humanities Med, Taipei, Taiwan
[8] MIT, Inst Med Engn & Sci, Cambridge, MA 02142 USA
[9] Beth Israel Deaconess Med Ctr, Div Pulm Crit Care & Sleep Med, Boston, MA USA
[10] Harvard TH Chan Sch Publ Hlth, Dept Biostat, Boston, MA USA
[11] Taipei Med Univ, Coll Med Sci & Technol, Grad Inst Biomed Informat, Taipei, Taiwan
[12] Taipei Municipal Wanfang Hosp, Dept Dermatol, Taipei, Taiwan
[13] Int Med Informat Assoc IMIA, Zurich, Switzerland
基金
美国国家科学基金会;
关键词
Artificial intelligence; Patient Care; Machine Learning;
D O I
10.1136/bmjhci-2024-101086
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
引用
收藏
页数:3
相关论文
共 16 条
  • [1] Agarwal N., 2023, National Bureau of Economic Research
  • [2] AI-enhanced breast imaging: Where are we and where are we heading?
    Bitencourt, Almir
    Naranjo, Isaac Daimiel
    Lo Gullo, Roberto
    Saccarelli, Carolina Rossi
    Pinker, Katja
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2021, 142
  • [3] A text mining approach to categorize patient safety event reports by medication error type
    Boxley, Christian
    Fujimoto, Mari
    Ratwani, Raj M.
    Fong, Allan
    [J]. SCIENTIFIC REPORTS, 2023, 13 (01)
  • [4] Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
    Dembrower, Karin
    Crippa, Alessio
    Colon, Eugenia
    Eklund, Martin
    [J]. LANCET DIGITAL HEALTH, 2023, 5 (10) : e703 - e711
  • [5] Eriksson M., The Lancet Regional Health-Europe
  • [6] Realizing the Power of Text Mining and Natural Language Processing for Analyzing Patient Safety Event Narratives: The Challenges and Path Forward
    Fong, Allan
    [J]. JOURNAL OF PATIENT SAFETY, 2021, 17 (08) : E834 - E836
  • [7] AI pitfalls and what not to do: mitigating bias in AI
    Gichoya, Judy Wawira
    Thomas, Kaesha
    Celi, Leo Anthony
    Safdar, Nabile
    Banerjee, Imon
    Banja, John D.
    Seyyed-Kalantari, Laleh
    Trivedi, Hari
    Purkayastha, Saptarshi
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2023, 96 (1150)
  • [8] Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
    Hickman, Sarah E.
    Baxter, Gabrielle C.
    Gilbert, Fiona J.
    [J]. BRITISH JOURNAL OF CANCER, 2021, 125 (01) : 15 - 22
  • [9] Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists
    Hogberg, Charlotte
    Larsson, Stefan
    Lang, Kristina
    [J]. BMJ HEALTH & CARE INFORMATICS, 2023, 30 (01)
  • [10] Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
    Lokaj, Belinda
    Pugliese, Marie-Therese
    Kinkel, Karen
    Lovis, Christian
    Schmid, Jerome
    [J]. EUROPEAN RADIOLOGY, 2024, 34 (03) : 2096 - 2109