The Role of AI in Biochips for Early Disease Detection

Improvements in illness diagnosis made possible by combining AI with biochip technology. It highlights the use of AI to improve the sensitivity and efficiency of biochips, allowing for faster and more precise illness diagnosis. Current healthcare uses of biochips are discussed, as well as artificial intelligence methods that may be used to the processing of biochip data. Through a variety of case studies, it shows how AI may be used for real-world tasks including early detection of cancer and other diseases through its capacity to analyze complicated data and perform predictive analysis. Data privacy, ethical considerations, and the need for extensive datasets to train AI are all discussed in the study as well as other obstacles to integrating AI with biochips. Furthermore, the legal implications of implementing new healthcare technology are covered. Future research options are suggested, with an emphasis on the importance of multidisciplinary cooperation and the possible effect of AI in biochip design.