Large language models help decipher clinical notes
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
With donuts and cider in hand, students, faculty, and staff gathered on Hockfield Court to speak with President-elect Sally Kornbluth and celebrate her appointment.
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
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.
The brilliant scientist was known for both the depth of his intellect and his kindness.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
The machine-learning model could help scientists speed the development of new medicines.
MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
The MIT Mobile ID offers the same functionality a physical ID card does on campus, via an iOS or Android device.
Cardiologist Demilade Adedinsewo is using her MIT Professional Education experience to advance cardiovascular care at the Mayo Clinic.
Scientists employ an underused resource — radiology reports that accompany medical images — to improve the interpretive abilities of machine learning algorithms.