AI and ML have flooded the healthcare industry with new technological approaches to affect patient experiences through smart approaches towards predictability, treatment, and diagnosis. The following paper focuses on exploring the effects caused by the implementation of artificial intelligence technologies in the sphere of healthcare. This research explores different case studies to prove that early diagnosis, treatment customization, and organizational effectiveness are all driven by AI. The paper is concerned with the approaches used in the implementation of artificial intelligence in the health sector, together with the consequent enhancement of patients’ experiences. This paper also looks at some of the issues of ethics and the future of artificial intelligence in the health sector while focusing on proactively securing the patient and the progress of the technology. Keywords: AI in Healthcare, Machine Learning, Patient Outcomes, Predictive Analytics, Healthcare
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