ARTIFICIAL INTELLIGENCE IN HEALTH CARE – A REVIEW

Artificial Intelligence (AI) has been one of the key technologies to change the face of modern healthcare by bringing forth a variety of solutions for the different parts of the medical process like diagnosing a disease, planning treatment, monitoring a patient, and even improving the efficiency of administration. Besides that, through better machine learning, deep learning, robotics, and natural language processing, AI has made it possible for medical practitioners to rely on AI for decision making and for medical imaging, predictive analytics, and personalized care to be more accurate. In this regard, AI-based applications are to a large extent responsible for the early detection of chronic diseases and even deadly conditions like cancer, heart diseases, and brain disorders. Moreover, the drug discovery assisted by AI is speedier therapeutic development which leads to a decrease in the overall cost and time. Along with its many advantages, the technology also faces challenges such as data privacy, biased algorithms, difficulties in the regulatory process, and challenges in integration. It is very important to deal with these issues so that the use of AI in healthcare will be responsible, secure, and fair. Keywords: Artificial Intelligence, Healthcare, Machine Learning, Medical Imaging, Personalized Medicine, Robotics, Predictive Analytics, Clinical Decision Support Systems, Telemedicine, Data Privacy