Stanford researchers have developed a way to screen for lung cancer by combining next-gen molecular DNA quantification with machine learning. The experimental technique requires only a blood test and could, with refinement, replace low-dose CT scanning as an initial exam for longtime smokers.

The White House is working with IBM and the U.S. Department of Energy to launch a sprawling public-private consortium aimed at rapidly “unleashing the full capacity of America’s world-class supercomputers” to fight COVID-19.

AI experts are being tasked with addressing the new coronavirus pandemic and using machine learning to mine a new dataset released by The White House.

One algorithmic approach used to model and analyze complex networks is fundamentally flawed and fails to capture the full properties of real-world complexities, according to a new study published in Proceedings of the National Academy of Sciences.

Researchers have located the part of the brain that causes pediatric patients to stop breathing during a seizure, sharing their findings in JCI Insight.

AI’s impact on healthcare continues to grow, with specialties such as radiology and cardiology fully embracing the technology’s potential to modify workflows and improve patient outcomes. Family medicine physicians, however, have been slow to embrace this growing trend.

Researchers are using advanced technology—including AI, natural language processing (NLP) and satellite imaging—to track how the new coronavirus has impacted China.

DeepMind, a London-based AI company acquired by Google back in 2014, is sharing predictions made by its advanced AlphaFold system that could help researchers learn more about the new coronavirus.

Owkin, a New York City-based AI startup, announced it is now working with the University of Pittsburgh to design and validate advanced machine learning models. Once finalized, the new models are expected to have a significant impact in areas such as clinical research and the development of pharmaceuticals.

Countless studies have explored AI’s impact on healthcare providers and the patients they serve—but what about the financial side of things? Looking purely at the bottom line, is AI a wise investment?

AI could provide radiologists with significant value as an advanced peer review tool, according to new findings published in Academic Radiology.

AI technology could play a vital rule in the diagnosis and treatment of aggressive posterior retinopathy of prematurity (AP-ROP) in infants, according to new research published in Ophthalmology.