Abstract

Review Article

Harmonizing Artificial Intelligence Governance; A Model for Regulating a High-risk Categories and Applications in Clinical Pathology: The Evidence and some Concerns

Maxwell Omabe*

Published: 18 March, 2024 | Volume 8 - Issue 1 | Pages: 001-005

The Canadian healthcare system, grappling with issues like systemic and intelligently established structural anti-black racism, including indigenous nations; even within Pathology and Laboratory Medicine Communities: and deteriorating outcomes, sees potential in AI to address challenges, though concerns exist regarding exacerbating discriminatory practices. In clinical pathology, AI demonstrates superior diagnostic accuracy compared to pathologists in a study, emphasizing its potential to improve healthcare. However, AI governance is crucial to navigating ethical, legal, and societal concerns. The Royal College of Physicians of Canada acknowledges the transformative impact of AI in healthcare but stresses the need for responsible AI tools co-developed by diverse teams. Despite positive attitudes towards AI in healthcare, concerns about patient safety, privacy, and autonomy highlight the necessity for comprehensive education, engagement, and collaboration. Legal concerns, including liability and regulation, pose challenges, emphasizing the need for a robust regulatory framework. AI application in healthcare is categorized as high-risk, demanding stringent regulation to ensure safety, efficacy, and fairness. A parallel is drawn to drug regulation processes, suggesting a similar approach for AI. The lack of transparency in AI-based decision-making raises ethical questions, necessitating measures to address biases and ensure patient privacy. Social accountability is crucial to prevent AI from exacerbating health disparities and harming marginalized communities. In conclusion, while AI offers potential benefits in clinical pathology, a cautious approach with comprehensive governance measures is essential to mitigate risks and ensure ethical AI integration into healthcare.

Read Full Article HTML DOI: 10.29328/journal.apcr.1001040 Cite this Article Read Full Article PDF

Keywords:

Clinical pathology; Artificial intelligence; Anti-black racism; Data security; AI governance; Social accountability

References

  1. Coen-Sanchez K, Idriss-Wheeler D, Bancroft X, El-Mowafi IM, Yalahow A, Etowa J, Yaya S. Reproductive justice in patient care: tackling systemic racism and health inequities in sexual and reproductive health and rights in Canada. Reprod Health. 2022 Feb 16;19(1):44. doi: 10.1186/s12978-022-01328-7. PMID: 35172842; PMCID: PMC8849010.
  2. Odhiambo AJ, Forman L, Nelson LE, O'Campo P, Grace D. Legislatively Excluded, Medically Uninsured and Structurally Violated: The Social Organization of HIV Healthcare for African, Caribbean and Black Immigrants with Precarious Immigration Status in Toronto, Canada. Qual Health Res. 2022 Apr;32(5):847-865. doi: 10.1177/10497323221082958. Epub 2022 Apr 5. PMID: 35380883; PMCID: PMC9152595.
  3. Mathieu J, Fotsing S, Akinbobola K, Shipeolu L, Crosse K, Thomas K, Denis-LeBlanc M, Gueye A, Bekolo G. The quest for greater equity: a national cross-sectional study of the experiences of Black Canadian medical students. CMAJ Open. 2022 Oct 23;10(4):E937-E944. doi: 10.9778/cmajo.20220192. PMID: 36280249; PMCID: PMC9640166.
  4. Jefferies K, States C, MacLennan V, Helwig M, Gahagan J, Bernard WT, Macdonald M, Murphy GT, Martin-Misener R. Black nurses in the nursing profession in Canada: a scoping review. Int J Equity Health. 2022 Jul 23;21(1):102. doi: 10.1186/s12939-022-01673-w. PMID: 35871077; PMCID: PMC9308111.
  5. Jacob G, Faber SC, Faber N, Bartlett A, Ouimet AJ, Williams MT. A Systematic Review of Black People Coping With Racism: Approaches, Analysis, and Empowerment. Perspect Psychol Sci. 2023 Mar;18(2):392-415. doi: 10.1177/17456916221100509. Epub 2022 Aug 25. PMID: 36006823; PMCID: PMC10018067.
  6. Ehteshami Bejnordi B, Veta M, Johannes van Diest P, van Ginneken B, Karssemeijer N, Litjens G, van der Laak JAWM; the CAMELYON16 Consortium; Hermsen M, Manson QF, Balkenhol M, Geessink O, Stathonikos N, van Dijk MC, Bult P, Beca F, Beck AH, Wang D, Khosla A, Gargeya R, Irshad H, Zhong A, Dou Q, Li Q, Chen H, Lin HJ, Heng PA, Haß C, Bruni E, Wong Q, Halici U, Öner MÜ, Cetin-Atalay R, Berseth M, Khvatkov V, Vylegzhanin A, Kraus O, Shaban M, Rajpoot N, Awan R, Sirinukunwattana K, Qaiser T, Tsang YW, Tellez D, Annuscheit J, Hufnagl P, Valkonen M, Kartasalo K, Latonen L, Ruusuvuori P, Liimatainen K, Albarqouni S, Mungal B, George A, Demirci S, Navab N, Watanabe S, Seno S, Takenaka Y, Matsuda H, Ahmady Phoulady H, Kovalev V, Kalinovsky A, Liauchuk V, Bueno G, Fernandez-Carrobles MM, Serrano I, Deniz O, Racoceanu D, Venâncio R. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA. 2017 Dec 12;318(22):2199-2210. doi: 10.1001/jama.2017.14585. PMID: 29234806; PMCID: PMC5820737.
  7. Golden JA. Deep Learning Algorithms for Detection of Lymph Node Metastases From Breast Cancer: Helping Artificial Intelligence Be Seen. JAMA. 2017 Dec 12;318(22):2184-2186. doi: 10.1001/jama.2017.14580. PMID: 29234791.
  8. Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019 Jan;25(1):44-56. doi: 10.1038/s41591-018-0300-7. Epub 2019 Jan 7. PMID: 30617339.
  9. Royal College of Physicians and Surgeons of Canada. February 2020. Task Force Report on Artificial Intelligence and Emerging Digital TechnologiesLinks to an external site.
  10. Regulatory framework proposal on artificial intelligence | Shaping Europe’s digital future (europa.eu) accessed 27-03-2023, and lecture slides INQ.
  11. Prakash S, Balaji JN, Joshi A, Surapaneni KM. Ethical Conundrums in the Application of Artificial Intelligence (AI) in Healthcare-A Scoping Review of Reviews. J Pers Med. 2022 Nov 16;12(11):1914. doi: 10.3390/jpm12111914. PMID: 36422090; PMCID: PMC9698424.

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