The Jameel Clinic, the epicenter of artificial intelligence in healthcare at the Massachusetts Institute of Technology, recently hosted the first conference in Saudi Arabia to drive the use of AI in healthcare. The event marked the second edition of AI Cures MENASA, a one-day conference that aims to explore the integration of AI into healthcare with a focus on the Middle East, North Africa, and South Asia region. Learn more
The MIT Jameel Clinic, the epicentre of artificial intelligence (AI) in healthcare at the Massachusetts Institute of Technology (MIT), hosted today its first conference in Saudi Arabia to advance the use of AI in healthcare. The 2023 edition of AI Cures • MENASA aims to explore the integration of AI into healthcare with a focus on the Middle East, North Africa, and South Asia (MENASA) region. Learn more
Lung cancer kills more people in the US yearly than the next three deadliest cancers combined. It's notoriously hard to detect the early stages of the disease with X-rays and scans alone. However, MIT scientists have developed an AI learning model to predict a person's likelihood of developing lung cancer up to six years in advance via a low-dose CT scan. Learn more
An inconspicuous box sits beside the Wi-Fi router, silently humming its own much-lower-energy radio waves through the house. The patient—who has a family history of Parkinson’s disease—makes dinner, watches TV, and falls asleep. Nothing amiss. Learn more
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
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How AI is changing the manner in which cardiovascular illness is diagnosed. And the future is unfolding before us with new predictive analytics, remote monitoring and precision medicine. Dr. Stultz is both a Ph.D. in Computer Science as well as a Cardiologist and brings both fields of practice together in a unique fashion. Learn more
In a large study of thousands of mammograms, AI algorithms outperformed the standard clinical risk model for predicting the five-year risk for breast cancer. The results of the study were published in Radiology.
A woman’s risk of breast cancer is typically calculated using clinical models such as the Breast Cancer Surveillance Consortium (BCSC) risk model, which uses self-reported and other information on the patient—including age, family history of the disease, whether she has given birth, and whether she has dense breasts—to calculate a risk score. Learn more
