AI in Healthcare and Food Systems: Exploring Machine Learning, ChatGPT, and Emerging Applications

Abstract

The scope of the review is discussing the potential impacts of artificial intelligence (AI) in terms of transforming the healthcare and food systems industries touching upon the machine learning systems and natural language processing technologies. The reality that AI is reshaping new domains in healthcare may rewrite the process of diagnosis, personalized medicine, and revolutionize the sector of patient care to make the process of diagnosis more correct and treatment of patients more efficient. The machine learning algorithms are also enhancing drug discovery and predictive analytics. With AI, the food system is being simplified, precision farming, better supply chain, and less wastage. It is also involved in the stimulation of sustainable food production and customized nutrition. Nonetheless, the development that contains the AI is connected with some ethical issues, among which we could notice the data privacy, bias of algorithms, and unequitable access, to be more specific. This is another impact of the AI on the health system and food systems that cannot be measured as long as this technology keeps advancing and it must be done with caution, ethics and fairness to reap the best out of it to the better benefit of mankind.