TED Talk Transcript (Answer the Devil Community: www.damor.cn Research updates, resource dry-runs, interactive Q&A)
Today's computer algorithms, are using human-like intelligence to perform, on a large scale, incredible tasks with high precision. And this computer intelligence is often referred to as AI, or "artificial intelligence." Artificial intelligence promises to have an incredible impact on our lives in the future. Today, however, we still face many challenges in detecting and diagnosing some life-threatening diseases, such as infectious diseases and cancer. Every year, thousands of patients lose their lives to liver and oral cancers.
The best way to help patients is to get early detection and diagnosis of these diseases. So, how do we detect these diseases today? Can AI help? For unfortunate people who are suspected of having these diseases, specialist physicians will first ask them to irradiate very expensive medical images such as fluoroscopy, CT, MRI, etc. Once these images are collected, another specialist physician will make a diagnosis and communicate with the patient. Obviously, this is a very resource-intensive process that requires two expert physicians and expensive medical imaging technology. This is not practical in developing countries and, indeed, in many industrialized countries.
So, can we solve this problem with artificial intelligence? Currently, if I were to use a traditional AI architecture to solve this problem, I would probably need 10,000 - I repeat, 10,000 of these very expensive medical images to be generated in the first place. Afterwards, I will go to a medical professional to analyze these images for me. Using both types of information, I can train standard deep neural networks, or deep learning networks to diagnose patients. Similar to the first step, traditional AI approaches suffer from the same problem: that is, they require a large amount of data, expert physicians, and specialized medical imaging technology.
Can we create an AI architecture that is larger, more efficient, and at the same time more valuable, to solve these important problems we face today? And that's what our team at the MIT Media Lab is working on. We have developed a variety of novel AI architectures to address some of the most important challenges we face today in medical imaging and clinical trials.