Researchers are creating "digital twins" of COVID-19 long-haulers, those who develop long-term symptoms after being infected, to study the condition's effects on the body, Dell Technologies announced May 5.

Artificial intelligence is viewed as innovative technology that simplifies hard or tedious tasks. Yet, the work of the people who support AI by doing the behind-the-scenes labor is often overlooked, according to a May 4 report by the Cambridge, Mass.-based MIT Sloan School of Management.

CMS chose Austin, Texas-based health data analytics company ClosedLoop.ai and Danville, Pa.-based Geisinger as the winner and runner-up, respectively, of the agency's Artificial Intelligence Health Outcomes challenge.

Artificial intelligence won't significantly improve healthcare until the 2030s, according to AI experts Fei-Fei Li, PhD, and Andrew Ng, PhD.

Healthcare providers and payers are embracing shared goals of automation and interoperability. Artificial intelligence can ensure these elements work together and translate into operational improvements.

Algorithms factor in a patient's age, sex and race to adjust variables when calculating risks and test results. When it comes to race in estimated glomerular filtration rate equations — a test that measures kidney function — physicians only have two options: "Black" or "other," according to an April 27 report by CNN.

Healthcare is not an industry that has been quick to digitize, but the pandemic has expedited healthcare's digital transformation. When deployed effectively, digital health tools can increase patient engagement, accelerate clinical workflows, optimize the revenue cycle and reduce the cost of care.

Pharmaceutical startup Verge Genomics and clinical trial matchmaker Komodo Health are among nine healthcare companies recognized by Forbes for their artificial intelligence capabilities.

Los Alamos (N.M.) National Laboratory researchers created a machine learning algorithm that identifies COVID-19 related conspiracy theories on social media and shows how they evolve over time, according to an April 19 news release.

The New York City-based Icahn School of Medicine at Mount Sinai on April 20 said it is offering a new PhD concentration in artificial intelligence and emerging technologies (AIET) as part of its PhD in biomedical sciences program

Health systems are embracing the potential benefits of using artificial intelligence and data analytics in their healthcare model with these six recent tech partnerships.

Healthcare artificial intelligence company Olive is acquiring Empiric Health to introduce new offerings for supply chain and clinical analysis for surgeries.

Medical voice recognition technologies have the potential to automate some administrative processes for healthcare providers, but they haven't yet demonstrated a significant effect, The New York Times reported April 13.

Microsoft will buy speech recognition company Nuance Communications in an all-cash transaction valued at $19.7 billion, including debt assumption, the company announced April 12. 

New York City-based Columbia University researchers are using artificial intelligence technologies to analyze the language used by different groups of people in the U.S. who are vaccine reluctant, according to an April 8 Columbia News report.

Most artificial intelligence-powered medical devices approved by the FDA have not been comprehensively studied to determine the fairness and accuracy of their algorithms, according to a study published April 5 in Nature.

Healthcare secured the spot as the most-represented industry among a grouping of the 100 most promising artificial intelligence startups in the world, according to a new CB Insights report.

Artificial intelligence's role in healthcare is growing and has the potential to mitigate common difficulties in the industry.

Cleveland Clinic and IBM have formed a 10-year partnership to create a joint accelerator center to advance healthcare discoveries using artificial intelligence and cloud computing technologies, the organizations announced March 30.

Errors in self-administered medication can be mitigated by a new artificial intelligence tool that can monitor wireless signals in a patient's home, according to a March 18 study published in Nature Medicine.