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Beyond Diagnosis: An Overview of AI in Google Health

Issue Abstract

Abstract
The integration of artificial intelligence (AI) into healthcare, exemplified by Google Medical, presents a paradoxical landscape of both ethical challenges and unprecedented opportunities. This paper exploresthe intricate interplay between AI and medical practice, with a focus on Google's foray into this domain. While AI holds immense promise for enhancing diagnostic accuracy, streamlining processes, and improving treatment outcomes, it also raises profound ethical concerns that demand rigorous scrutiny.This study explores the ethical challenges arising from the use of AI in Google Medical. Issues related to data privacy, informed consent, and algorithmic transparency take centre stage as AI systems process vast amounts of sensitive patient information. Moreover, the potential for bias amplification and exacerbation of health disparities calls for vigilant oversight and algorithmic fairness. The transformative potential of AI must be balanced against the risks of unintended consequences and elimination of humanin medical decision-making. Amidst these challenges, there are remarkable opportunities to harness AI's capabilities responsibly. Collaboration between AI and medical experts can augment clinical judgment, enabling earlier disease detection, personalized treatment plans, and improved patient management. Ethical frameworks, such as explainable AI and robust data governance, offer avenues to navigate the ethical complexities. Google Medical, as an exemplar, can lead the way in developing transparent and accountable AI solutions that prioritize patient welfare. In conclusion, the paradoxes inherent in the connection of AI and healthcare within the context of Google Medical encapsulate a vital moment in medical history. While ethical challenges loom large, they are accompanied by a unique chance to redefine healthcare delivery. By addressing the ethical concerns head-on, embracing interdisciplinary collaboration, and upholding patient-centric principles, AI-driven healthcare innovations have the potential to revolutionize medical practice, yielding a future that harmonizes technological advancement with ethical integrity


Author Information
Dr.M.Nirmala
Issue No
9
Volume No
2
Issue Publish Date
05 Sep 2023
Issue Pages
106-113

Issue References

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