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Table of Contents
Year : 2020  |  Volume : 3  |  Issue : 1  |  Page : 135-136

Artificial intelligence and its code and mode of conduct

Department of Radiodiagnosis, Tata Memorial Hospital; Department of Radiodiagnosis, Homi Bhabha National Institute, Mumbai, Maharashtra, India; University of Washington Medical Center, Seattle, WA, USA

Date of Submission18-Jan-2020
Date of Acceptance18-Jan-2020
Date of Web Publication24-Feb-2020

Correspondence Address:
Akshay Baheti
Department of Radiodiagnosis, Homi Bhabha National Institute, Mumbai, Maharashtra

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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/CRST.CRST_30_20

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How to cite this article:
Baheti A. Artificial intelligence and its code and mode of conduct. Cancer Res Stat Treat 2020;3:135-6

How to cite this URL:
Baheti A. Artificial intelligence and its code and mode of conduct. Cancer Res Stat Treat [serial online] 2020 [cited 2020 Jul 12];3:135-6. Available from: http://www.crstonline.com/text.asp?2020/3/1/135/279108

I read the article on artificial intelligence (AI) in healthcare in developing nations by Mahajan et al. with great interest.[1] Indeed, AI is a huge opportunity even in the developing world, and it is heartening to get an insight into the various government initiatives undertaken to foster research and development in this field.

One particular issue with developing new AI software is the lack of clarity regarding patient data ownership as well as its economic value. Developing quality radiology-based AI tools needs a vast number of images, with concerns over breach of patient privacy. Equally important is the question of who owns these data; patient health data are something co-created by the patient, the doctor, and the hospital. Whether hospitals/imaging centers can freely share anonymized patient images with AI developers/startups without taking consent from the patient is something that remains a legal gray zone. Many studies currently take approval from their institutional ethics committees (IEC) to do away with retrospective patient consent for an AI study. However, the question then arises as to whether they can again replicate the same modus operandi for a future study, as all patients' imaging performed after the first IEC approval time point is prospective and should ideally need a prospective consent.

Besides, there being no free lunch, the hospital/imaging center sharing the patient data is bound to get something in return, potentially either monetary gain/royalties or a free/subsidized license to use the final product, or perhaps both. A study by Ernst and Young has valued the UK National Health Services data at 9.6 billion pounds per year, making it perhaps the most valuable health repository in the world![2] Again, the patient's claim to a slice of this pie is a legal and ethical gray zone.

The Personal Data Protection Bill 2018 has been drafted by the government of India to provide more clarity and a legal framework to these complex processes and questions.[3] It is in the process of being finalized by the Ministry of Electronics and Information Technology. One hopes that it will be a comprehensive legislation which will fairly address the concerns of all stakeholders, including the patient, the doctors, and the health-tech companies.

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There are no conflicts of interest.

  References Top

Mahajan A, Vaidya T, Gupta A, Rane S, Gupta S. Artificial intelligence in healthcare in developing nations: The beginning of a transformative journey. Cancer Res Stat Treat 2019;2:182-9.  Back to cited text no. 1
  [Full text]  
Available from: https://www.digitalhealth.net/2019/07/nhs-data-worth-9-6bn-per-year-says-ernst-young/. [Last accessed on 2019 Jan 18].  Back to cited text no. 2
Available from: https://meity.gov.in/writereaddata/files/Personal_Data_Protection_Bill, 2018.pdf. [Last accessed on 2019 Jan 18].  Back to cited text no. 3


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