 My name is Tenvir Syeda Mahmood, I am an IBM Fellow at the AI and IBM Research. MedicalServe is a radiology grant challenge project that we are doing across IBM Research Labs. It is an exploratory project to see how we can influence the field of medicine, particularly for radiologists and cardiologists in helping in their daily clinical workflows and in their clinical decision making. There are two major problems facing radiologists today. One of them is in the area of just looking at lots and lots of images. So a typical emergency room radiologist may examine over 3,000 images per study. So you are looking at a load of about 100,000 images a day and with that sort of volume they suffer eye fatigue and making their decisions then becomes harder with only 2 to 3 seconds per imaging to diagnose. The second problem is they are making these decisions primarily based on imaging alone. But if they have the context of the patient where they came from what their clinical history is something that may be available in other systems in hospitals but if they can have that easily at their fingertips they can make much more informed decisions and reduce diagnosis errors. A lot of work like this starts off with personal motivations. Several years ago when my dad was seen in an emergency room and was misdiagnosed I got to thinking what can we do to help clinicians at the point of care. It gives a sense of satisfaction to work in an area where you see the ultimate impact in improving the lives of people from healthcare perspective.