Generative AI-Driven Healthcare: Bridging Technology and Patient-Centric Care

Abstract

GenAI is emerging as a game changer in the field of medicine and healthcare. New avenues that promise significant improvements in patient care, aggressive conventional medical procedures, and accelerated scientific discoveries pop up due to GenAI. Forensic research offers a meaningful extension of the current trends in GenAI usage, advantages, and challenges in the medical field. From diagnostics, drug discovery, and virtual health assistants to clinical decision support, GenAI has shown the potential to enhance accuracy in diagnosis, personalized treatment, and overall efficiency in daily effective practices in a clinical setup. Also, the paper discusses important challenges that were associated with large-scale application: these include inequities in data provision, privacy concerns, algorithm bias, regulatory issues, and independent validation mechanisms that might ease its adoption. The review synthesizes current findings of the conference papers and journal articles while providing insights into the future directions of GenAI in healthcare, simultaneously marking the place of a co-developed principle behind the responsible evolutionary use of these technologies. The transformative prospect of GenAI for healthcare mostly comes out in this analysis, alongside a call for cooperation between researchers’ clinicians, and legislators for a solid basis and successful intervention for ethical use.

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