Abstract
Abstract: Artificial Intelligence (AI) is rapidly transforming the healthcare industry, with the potential to improve patient outcomes, reduce costs, and enhance the overall quality of care. This paper explores the emerging trends in AI in health tech, including machine learning, natural language processing, robotics, and computer vision. It also examines the challenges and opportunities associated with these emerging technologies, as well as their impact on healthcare delivery, research, and patient engagement. The availability of an enormous amount of data supported by limitless cloud storage is a significant benefit that aids in the development of many AI applications. The learning algorithms are trained using this data to improve their accuracy. The algorithms interact with the practise data to provide fresh perspectives on diagnosis and therapy. As a result, it enhances patients' results. A case study on Diagnosis and Treatment of Skin Cancer was discussed and a suitable architecture is proposed.
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