Automated diagnosis is a research area that focuses on developing technologies and algorithms for diagnosing medical conditions or diseases without human intervention. This can involve using artificial intelligence, machine learning, and other computational methods to analyze medical data such as images, genetic information, and patient symptoms to make accurate and timely diagnoses. Automated diagnosis has the potential to improve the speed and accuracy of medical diagnoses, reduce human error, and ultimately improve patient outcomes.