Quest for dexterous prospects in AI regulated arena: opportunities and challenges in healthcare

Adlakha, Shagun; Yadav, Dinesh Kumar; Garg, Ramesh Kumar; Chhabra, Deepak

doi:10.1504/ijhtm.2020.116786

Cited by 1 publication

(3 citation statements)

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“…A total of 33 of the included papers examined the challenges and considerations surrounding the use of AI, particularly in healthcare, and the imperative of safeguarding confidentiality in the digital age [42][43][44]46,47,50,53,54,[58][59][60][61][66][67][68]71,72,[74][75][76]84,90,93,94,96,98,102,104,105,[109][110][111]113].…”

Section: Confidentialitymentioning

confidence: 99%

“…A significant number of papers focus on the use of AI in healthcare, particularly concerning patient data privacy and security. This group explores the challenges and ethical considerations in safeguarding patient information in the context of AI-driven medical practices and health apps [43,44,46,47,53,60,61,68,71,84,90,102,105,113]. Technological and practical challenges in ensuring confidentiality was also addressed [53,61,104].…”

Section: Confidentialitymentioning

confidence: 99%

“…This group explores the challenges and ethical considerations in safeguarding patient information in the context of AI-driven medical practices and health apps [43,44,46,47,53,60,61,68,71,84,90,102,105,113]. Technological and practical challenges in ensuring confidentiality was also addressed [53,61,104]. This included discussions on data encryption, secure data handling practices and the implementation of robust security measures to prevent data breaches.…”

Section: Confidentialitymentioning

confidence: 99%

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Clearing the Fog: A Scoping Literature Review on the Ethical Issues Surrounding Artificial Intelligence-Based Medical Devices

Maccaro,

Stokes,

Statham

et al. 2024

JPM

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The use of AI in healthcare has sparked much debate among philosophers, ethicists, regulators and policymakers who raised concerns about the implications of such technologies. The presented scoping review captures the progression of the ethical and legal debate and the proposed ethical frameworks available concerning the use of AI-based medical technologies, capturing key themes across a wide range of medical contexts. The ethical dimensions are synthesised in order to produce a coherent ethical framework for AI-based medical technologies, highlighting how transparency, accountability, confidentiality, autonomy, trust and fairness are the top six recurrent ethical issues. The literature also highlighted how it is essential to increase ethical awareness through interdisciplinary research, such that researchers, AI developers and regulators have the necessary education/competence or networks and tools to ensure proper consideration of ethical matters in the conception and design of new AI technologies and their norms. Interdisciplinarity throughout research, regulation and implementation will help ensure AI-based medical devices are ethical, clinically effective and safe. Achieving these goals will facilitate successful translation of AI into healthcare systems, which currently is lagging behind other sectors, to ensure timely achievement of health benefits to patients and the public.

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