AI has the ability to completely transform the healthcare industry by enhancing patient outcomes, boosting productivity, and cutting costs. Medical imaging, patient monitoring, resource management, and creating individualised treatment regimens are all possible with AI. AI is able to uncover patterns and insights via the analysis of vast volumes of data that may not be immediately obvious to human healthcare professionals. This results in more precise diagnoses and improved treatment strategies. The requirement for high-quality data, the openness and interpretability of AI algorithms, correcting biases, and making sure AI is utilised responsibly and ethically are all major obstacles and constraints that must be addressed. The potential of AI in healthcare must be further explored and developed, and cooperation between healthcare professionals, academics, and developers is essential. By allowing healthcare professionals to more accurately detect and treat a variety of medical disorders, AI has showed enormous potential in improving healthcare outcomes. Medical imaging, such as X-rays, MRIs, and CT scans, is one field where AI has shown to be especially helpful. Healthcare practitioners may more accurately identify patients and create more effective treatment plans thanks to AI algorithms' fast analysis of massive volumes of medical pictures for anomalies or other illness symptoms. AI may also be used to monitor patients in real-time, enabling medical professionals to see possible health issues and take preventative measures before they worsen. AI may be used, for instance, to monitor a patient's vital signs and spot changes that would point to a disease worsening, such sepsis or heart failure. Addressing possible biases in AI systems, which may result in erroneous or unfair healthcare outcomes, is another difficulty. For instance, AI systems may produce erroneous or discriminatory findings if they are trained on data that is skewed against particular groups, such as women or minorities. In order to overcome these difficulties, it is essential to carry out ongoing research and development of AI algorithms and methodologies, as well as cooperation between healthcare professionals, researchers, policymakers, and other stakeholders. In summary, AI has the potential to revolutionise healthcare by enhancing patient outcomes, boosting productivity, and lowering costs. Yet, in order to fully exploit AI's potential in healthcare, we must solve the technology's difficulties and constraints. ensuring that AI is utilised in a morally and responsibly. By doing this, we can fully realise AI's potential to enhance healthcare and improve patient outcomes.

Keywords : Healthcare System; Artificial Intelligence; Ai usage; Benefits; Ai in Healthcare System; Credibility; Implemented AI.