• Jyoti Singh
• Vaibhav Kumar
• Priyanka Makkar

Artificial intelligence (AI) is transforming healthcare by improving diagnostic accuracy, standardizing treatments, speeding up drug discovery, and streamlining administrative tasks. With an emphasis on its uses, advantages, difficulties, and prospects for the future, this review offers a thorough summary of the innovative role that neural networks have played in healthcare. In diagnostic research, AI-powered algorithms analyze medical images, diagnose diseases, and predict patient outcomes with accuracy, often exceeding human accuracy in specific areas such as radiology and pathology. Personalized medicine AI is a significant source of revenue for patients. AI in drug discovery identifies new drugs faster, reduces development time and cost, and helps with public health problems such as vaccine development in pandemic response. Despite these major advantages, the use of AI use in health care presents ethical, legal and operational challenges. Issues such as data privacy, patient consent, algorithmic transparency, and impartiality in AI models highlight the need for robust regulatory frameworks and ethical guidelines to ensure fairness and safety Healthcare professionals, technologists, policy makers to address these issues effectively and responsibly due to the reliability of network-driven decisions And the need for mothers to be more collaborative As advances in Machine learning continue, resources potential applications extend to automated diagnostics, predictive healthcare, and robotic-assisted surgery, and could reshape future healthcare delivery and drive patient outcomes effective worldwide. This paper explores these areas, providing a balanced view of the benefits and limitations of Machine Intelligence in healthcare, as well as important insights into the ethical and legal considerations necessary for its safe integration, accuracy, and effectiveness in clinical settings.

Artificial Intelligence (AI), Healthcare, Machine Learning, Neural Networks, Diagnostics, Personalized Medicine, Drug Discovery, Ethical Considerations, Data Privacy, Predictive Analytics, Robotic Surgery, Telemedicine, Deep Learning, Operational Efficiency, Patient Outcomes.

"SYSTEMATIC STUDY OF AI IN HEALTHCARE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.b368-b372, January-2025, Available :http://www.jetir.org/papers/JETIR2501166.pdf

"SYSTEMATIC STUDY OF AI IN HEALTHCARE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. ppb368-b372, January-2025, Available at : http://www.jetir.org/papers/JETIR2501166.pdf