Applications of Generative AI in Healthcare
DOI:
https://doi.org/10.32628/IJSRST52211299Keywords:
Generative AI, Healthcare, GANs, Data Privacy, Reduction of Bias, Diagnostic Accuracy, EHR Data Anonymization, Real-Time Data Analysis, Synthetic Data, AI Ethics, Deep Learning, Medical Image Analysis and Interpretation Predictive Analytics, computational size, Federated Learning.Abstract
Generative AI's function in healthcare is essential to enhancing medical sciences. This paper aims to analyze the potential of Generative AI technologies and examine how they can change the world, positively affecting its short-term future in medical diagnostics via imaging, exploration of new drugs, personalized medicine, and predictive analysis. Such applications are instrumental in the reform of the healthcare sector by improving diagnosis, accelerating the process of developing new drugs, and providing individualized patient care. Overall, Generative AI can enhance efficiency and efficacy in various healthcare subfields, optimizing patient outcomes and healthcare services. The paper will also discuss the current challenges and opportunities for applying Generative AI models to health.
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