The rapidly evolving discipline of artificial intelligence (AI) holds great promise for resolving a wide range of real-world issues in the healthcare industry. Machine learning (ML), which includes a wide range of techniques and approaches intended to address problems like classification, grouping, and prediction, is the foundation of artificial intelligence. AI and ML have a wide range of beneficial applications in the healthcare industry. AI can anticipate patient outcomes, optimize treatment regimens, improve diagnostic accuracy, and expedite administrative tasks. AI is a vital tool for healthcare workers looking to improve patient care and operational efficiency because of its capacity to analyze large volumes of data rapidly and accurately. Due to the promising prospects of AI and ML in healthcare, research in this field is highly active and rapidly evolving. Innovative studies and pilot projects continually explore new applications and refine existing technologies to better meet the needs of healthcare providers and patients. A survey was done with small respondent of 100 sample size in understating various health sectors involved, AI tools used though, despite the substantial progress in research and the potential benefits, the widespread industrial application of AI in healthcare remains limited at present. The opportunities and challenges are explored in the study along with various AI tools. Therefore, it is anticipated that the integration of AI and ML will increase as the healthcare industry continues to embrace digital transformation. Continuous technological developments and favorable legislative environments will probably hasten the acceptance and application of AI, which will eventually result in its increased and extensive use throughout the sector.