Published Paper Details:

The main aim of this paper was to review how artificial intelligence plays a critical role in healthcare. Artificial intelligence (AI) will be used more and more in healthcare due to the growing intricacy and volume of data. Payers, suppliers of treatment, and organizations in the health sciences are already using a variety of AI methods [1]. Adverse events connected to substandard treatment are one of the top ten causes of mortality and disability in the world, and between a third and half of these occurrences seem to be avoidable. Investments in minimizing harm may save money and enhance patient outcomes. Using AI as a tool to enhance safety both within and outside the hospital has enormous promise since it can provide solutions to forecast risks, gather a range of data, including new and already-available data, as well as contribute to quality improvement efforts [1]. For example, artificial intelligence may assist in decision-making by identifying patients who are at high risk of hospital injury and guiding preventative and early intervention initiatives. Outpatient, community, and home settings may all benefit from AI's use [2]. These new technologies, when used in conjunction with digital techniques, may enhance communication between patients and healthcare practitioners, therefore reducing the occurrence of avoidable illnesses. Existing data will be useful, but new data will be accessible thanks to sensor technology, which should lead to better predictions. Patient involvement and adherence, as well as administrative operations, are some of the most common uses for these technologies [2].