Generative AI - Benefits, Limitations, Potential risks and Challenges in Healthcare Industry
DOI:
https://doi.org/10.53555/eijmhs.v8i4.211Keywords:
Generative AI, healthcare, predictive models, skill gap, training needsAbstract
Generative AI, a frontier of innovation within the healthcare industry, stands as both a beacon of hope and a subject of cautious scrutiny. At its core, generative AI offers remarkable benefits by revolutionizing drug discovery, personalizing patient care, and advancing predictive models for disease prevention. Its ability to generate new data and simulations based on complex patterns in existing datasets can drastically reduce the time and cost associated with developing new treatments and understanding complex health conditions. However, alongside these promising benefits, generative AI brings forth limitations and potential risks that warrant attention. One significant challenge lies in ensuring the accuracy and reliability of the generated data, as inaccuracies can lead to misdiagnosis or ineffective treatments. Furthermore, ethical concerns emerge regarding patient privacy and the potential for generating biased or discriminatory medical insights. The healthcare industry also faces hurdles in integrating these advanced AI systems into existing infrastructure, requiring substantial investment in technology and training. As we navigate this exciting yet uncertain terrain, the balance between harnessing generative AI's transformative potential and mitigating its risks becomes crucial. Ensuring rigorous validation, ethical oversight, and equitable access will be paramount in leveraging generative AI to its fullest, promising a future where healthcare is more efficient, effective, and personalized.
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