April 27 to May 1: AI interpretations, innovations, investments & more

A new AI model can help radiologists distinguish COVID-19 from non-COVID 19 pneumonia when reading chest CT examinations.

A supplier of remote patient monitoring technology is working with the Mayo Clinic to speed up diagnosis of COVID-19 and predict its course in stricken patients using AI.

An unlikely team at Berkeley Lab has created a text-mining tool that may help scientists of all disciplines tame and tap the presently blinding blizzard of COVID-19 papers.

The AI specialists have now raised $16.35 million overall.

A company offering healthcare and wellness services to its clients’ employees is partnering with a neighboring company specialized in predictive data analytics to blunt the impact of COVID-19 on those same employees.

IBM has launched a blockchain-based network for healthcare organizations and government agencies looking to quickly find and hire alternative supply-chain sources during the public-health crisis set off by the COVID-19 outbreak.

Several healthcare AI companies rank among the “top 25 machine learning startups to watch in 2020” in the view of a senior contributor at Forbes.com.

Radiologists who come upon certain unanticipated findings in the lower lungs should alert the referring physician to possible COVID-19 infection.

Governments around the world have their own COVID contact-tracing apps already up and running—and several U.S. states have indicated they like their own solutions just fine.

Ahead of print in Radiology Business Journal: As private medical practices continue feeling the squeeze of consolidation across U.S. healthcare, many radiology groups are considering acquisition offers from physician practice management companies (PPMCs).