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Revolutionising Impacts of Artificial Intelligence on Health Care System and Its Related Medical In-Transparencies

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Abstract

The application of artificial intelligence (AI) in the field of medicine has revolutionised various sectors of the health care system, including robotics surgery, biotechnology, pharmaceutical, evidence-based medicine and advanced research and transplantation techniques. By offering improved 3D imagery of the various organs involved in surgery and perfectly minimising the chances of error, AI aid made complicated surgical procedures more efficient and highly effective, requiring less hands-on. Further, the AI tool helps plastic surgery and aesthetic surgeons in anticipating prognostic surgical markers and post-operative consequences. In addition to enhancing accurate and rapid diagnosis, AI has played a pivotal role in the development and discovery of new drugs. Nevertheless, the application of AI in health care also raises significant challenges and concerns. Incorrect drug recommendations, failure to identify tumours and lesions on imaging modalities and potential bias in data entry and its automatic can risk the life of patients on a large scale. Additionally, breaching patient data privacy may raise concerns about cybersecurity issues, further compromised by growing dependency on AI which can result in massive unemployment. In short, AI has played a pivotal role in health care; however, addressing the in-transparencies is critical to ensure safe, ethical and more effective implementation in the dynamic field of medicine.

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Acknowledgements

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No funding was received to assist with the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Medicine, Karachi Medical and Dental College, North Nazimabad Town, Karachi, 74700, Pakistan

    Ayesha Saadat & Shafaq Taseen

  2. Department of Internal Medicine, Dow University of Health Sciences, Baba-e-Urdu Road, Saddar, Karachi, 74200, Pakistan

    Tasmiyah Siddiqui

  3. Department of Medicine, Dow University of Health Sciences, Baba-e-Urdu Road, Saddar, Karachi, 74200, Pakistan

    Sanila Mughal

Authors
  1. Ayesha Saadat
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  2. Tasmiyah Siddiqui
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  3. Shafaq Taseen
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  4. Sanila Mughal
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Contributions

AS participated in the conceptualization of the study, writing of the original draft and writing, reviewing, & editing of the manuscript. TS participated in the writing of the original draft and writing, reviewing, & editing of the manuscript. ST participated in the writing, reviewing, & editing of the manuscript and critical revision of the manuscript. SM participated in the writing, reviewing, & editing of the manuscript and critical revision of the manuscript. All authors have read and approved the final version of the manuscript. The corresponding author takes complete responsibility for the integrity and accuracy of the data.

Corresponding author

Correspondence to Sanila Mughal.

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This article did not involve patients; therefore, no ethical approval was required.

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Associate Editor Stefan M. Duma oversaw the review of this article.

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Saadat, A., Siddiqui, T., Taseen, S. et al. Revolutionising Impacts of Artificial Intelligence on Health Care System and Its Related Medical In-Transparencies. Ann Biomed Eng 52, 1546–1548 (2024). https://doi.org/10.1007/s10439-023-03343-6

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  • DOI: https://doi.org/10.1007/s10439-023-03343-6

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