By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Four early-career researchers shared their work on improving the social outcomes of artificial intelligence and machine learning at a research summit hosted by EECS Thriving Stars.
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Fellowship funds graduate studies for outstanding immigrants and children of immigrants.
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.