Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
Masimo's MightySat Medical is the first FDA-cleared pulse oximeter available to consumers without a prescription, which could disrupt the market for the notoriously inaccurate at-home devices.
MediView’s technologies utilize AR to provide clinicians with 3D “X-ray vision” guidance during minimally invasive procedures and surgeries, while also offering remote collaboration.
A novel AI-based model for clinical decision support has bested established machine-learning models at predicting how patients with type-2 diabetes mellitus will respond to various categories of therapeutic drugs.
Researchers have developed an AI system that can differentiate primary tumors from metastatic lookalikes on routine histology slides while also helping pinpoint the sites from which the cancer sprung.
The fear of exposure to COVID-19 coupled with the temporary shutdown of non-emergency health services put millions of people off routine healthcare screenings. Now, in the second year of the pandemic, a wave of cancer diagnoses is revealing a new crisis.
Yale researchers have demonstrated a machine learning tool for choosing between coronary imaging and stress testing in patients who present with suspected coronary artery disease.
Biases in algorithms can have critical implications for minority patients, which is why IBM Research and Watson Health sought out to examine the best methods for addressing this problem.
Health insurance giant Cigna has teamed up with technology-first health insurance provider Oscar Health to offer a new small business health plan in Connecticut.
Researchers have used machine learning to predict wellbeing—not only objective physical condition but also subjective overall health—as a function of demographic, socioeconomic and geographic factors.
