Machine learning is taking a leading role in decision making for clinical diagnosis all over the globe. Computer based expert system is assisting the physicians to take necessary treatment planning along with clinical observation. In number of cases it has been proven that computer assistance decreases the risk and hazards of medical investigation, exposure to repeated ray therapy or painful biopsy. The aim of the workshop is to expose the research to establish the correlation between the medical features derived from observation, symptoms, patient records with the features linked with image / data using computational techniques. This will finally lead to design expert system using machine intelligence to assist clinicians in therapeutic planning.