• Sukhdeep Singh
• Sandeep Kaur

Artificial intelligence (AI) is a set of technologies that allow machines to perform tasks that are usually associated with human intelligence. AI is being effectively utilized in a multitude of setting such as hospitals, and clinical laboratories as well as in research approaches. The basic or salient feature of AI in the medical field is treatment management as well as its diagnosis. AI systems in health care are succeeding because of the advanced algorithms for learning numerous characteristics from a huge amount of health care data that helps in problem-solving and achieved highest success rate in diagnosis that is futile for humans. The algorithms can be furnished with auto-learning to improve performance and accuracy. AI systems are utilized to facilitate physicians with advanced medical knowledge about journals, clinical papers to brief patient care and medical textbooks. AI can offer less diagnostic and therapeutic errors. AI uses medical data, especially from a patient's medical history, to learn to improve itself. There are many types of AI that can be used in the healthcare field, including biomarkers, natural language processing, rule-based expert systems, and physical robotics. AI is used to improve patient outcomes, enable more precise treatment, facilitate precision medicine, and optimize healthcare management.

Artificial Intelligence, Healthcare, Medical

"ARTIFICIAL INTELLIGENCE (APPROACH, BENEFITS & LIMITATIONS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.g95-g99, October-2024, Available :http://www.jetir.org/papers/JETIR2410613.pdf

"ARTIFICIAL INTELLIGENCE (APPROACH, BENEFITS & LIMITATIONS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppg95-g99, October-2024, Available at : http://www.jetir.org/papers/JETIR2410613.pdf