What to do about AI in health?
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
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Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.
The advance makes it easier to detect circulating tumor DNA in blood samples, which could enable earlier cancer diagnosis and help guide treatment.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.
PhD students interning with the MIT-IBM Watson AI Lab look to improve natural language usage.
A system designed at MIT could allow sensors to operate in remote settings, without batteries.
An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.
MIT Electric Vehicle Team builds a unique hydrogen fuel cell–powered electric motorcycle.
A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.
The diagnostic, which requires only a simple urine test to read the results, could make lung cancer screening more accessible worldwide.
Lightweight and inexpensive, miniaturized mass filters are a key step toward portable mass spectrometers that could identify unknown chemicals in remote settings.
MIT Koch Institute researchers Daniel Anderson and Ana Jaklenec, plus 11 MIT alumni, are honored for inventions that have made a tangible impact on society.
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.
Kwesi Afrifa, a senior majoring in urban planning and computer science, wants to create cultural hubs that are inviting to everyone.
Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.
The highly influential professor served for 25 years as executive officer of the Department of Electrical Engineering and Computer Science.