AI in Healthcare: Era of Healthcare Innovation, Role, Current Issues, Challenges, Recommendations and Future Directions

Karthik Kumar Vaigandla

Artificial Intelligence (AI), challenges, clinical trials, Drug discovery, Health Care, Machine Learning (ML), medicine, patients care.

The use of artificial intelligence (AI) in healthcare has revolutionized the field. The rapid progress in AI has resulted in the development of diagnostic, therapeutic, and intervention-based applications in the medical industry. Currently, there is a significant gap between AI-based research publications and their use in clinical anesthesia, which requires attention and resolution. AI technologies have made significant progress in recent years and are now widely used in several aspects of our everyday existence. Various endeavors are now underway in the healthcare sector to incorporate AI technology into practical medicinal interventions. Due to the rapid advancements in machine learning (ML) algorithms and enhancements in hardware capabilities, AI technology is anticipated to have a significant impact on efficiently processing and using vast quantities of health and medical data. Nevertheless, AI technology has distinct attributes that set it apart from current healthcare technologies. There are many aspects in the existing health care system that need to be improved in order to enhance the use of AI in health care. Furthermore, there is a limited acceptance of AI in the healthcare field among both medical professionals and the general public. Additionally, there are several worries around the safety and dependability of AI technology deployments. Hence, the purpose of this study is to provide the present state of research and implementation of AI technology in the field of healthcare and analyze the unresolved challenges. This research is conducted via a comprehensive literature review that explores the function of AI in the field of healthcare. This research offers valuable insights into the primary uses of AI in addressing particular difficulties in the construction industry. It also outlines the steps necessary to achieve the clear benefits associated with AI in healthcare.

Received: 30 Jun 2025, Received in revised form: 28 Jul 2025, Accepted: 03 Aug 2025, Available online: 08 Aug 2025

10.22161/ijaers.128.1