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The healthcare industry has historically been data-rich but information-poor. With the advent of electronic health records (EHRs) and the proliferation of medical devices, the volume of healthcare data has exploded. Traditional methods of data processing are often inadequate for extracting actionable insights from this vast repository. Artificial Intelligence (AI) offers a solution to this bottleneck. By leveraging algorithms that can learn from data, AI systems can identify patterns imperceptible to the human eye. This paper aims to investigate the current landscape of AI in healthcare, analyzing its efficacy in diagnostics and the ethical hurdles that accompany its adoption.
Beyond the sciences, the name is associated with a passionate bibliophile and reviewer known online as akhila krishna
: As an intern at the Nehru Institute of Dental Sciences (NIDCS) , she was awarded the third prize in an E-poster competition conducted in association with the Association of Stomatologists and Maxillofacial Imageologists of Kerala (ASMIK) on World Cancer Day, February 4, 2025. The healthcare industry has historically been data-rich but
One of the most prominent individuals with this name is an specializing in Computer Vision and Generative AI, particularly within the healthcare sector. Artificial Intelligence (AI) offers a solution to this