In a recent white paper co-authored by Dennis Chornenky and David Lubarsky of UC Davis Health, the importance of implementing an effective AI governance model in health systems is highlighted. This model will enable health systems to leverage innovative technologies while minimizing risks to patients. While there have been claims of AI replacing physicians, the more likely scenario is that AI will serve as a tool to enhance the capabilities of healthcare providers and care teams in delivering tailored care to more patients. The full white paper can be accessed by clicking the link provided.
The potential for AI to transform healthcare is exemplified in the infographic included in the white paper. By utilizing AI technologies, healthcare providers can improve diagnostic accuracy, predict diseases using voice biomarkers, and streamline drug discovery processes. These advancements in AI have the potential to revolutionize patient care and improve health outcomes. As AI continues to evolve, healthcare professionals must stay informed and adapt to these technological changes to provide the best possible care to their patients.
References:
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2. Malloy, T. (2022, April 26). AI uses voice biomarkers to predict coronary artery disease – mayo clinic news network. Mayo Clinic.
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5. Ibid.
6. Singh, S., et al. (2023). Artificial Intelligence and machine learning in pharmacological research: Bridging the gap between Data and Drug Discovery. Cureus.