Productive communication between doctors and patients can be difficult to achieve. However, a team of researchers has proposed several ways in which AI can help.

Access to care at the U.S. Department of Veterans Affairs (VA) has improved since 2014, compared to the stagnant wait times in the private sector, according to new research published in JAMA Network Open.

Day Zero Diagnostics has raised $8.6 million in a Series A funding round to further develop a system that uses genome sequencing and machine learning to better diagnose infectious diseases.

Ruth Porat, chief financial officer of Google parent company Alphabet, said the company is making progress in breast cancer care thanks to AI, according to a report by CNBC.

Rural hospitals in the United States have been closing at a rapid clip over the last several years––nearly 100 since 2010, according to one estimate. Another 600-plus rural hospitals are at risk of closing, with many clustered in the 14 remaining states that have not expanded Medicaid under the Affordable Care Act, according to the Pew Institute.

Researchers have trained an AI system to interpret and prioritize chest X-rays based on urgent and critical findings, according to a study published in Radiology.

The American Hospital Association and six other hospital groups have teamed up to promote interoperability across the healthcare industry. 

Princeton researchers have developed a machine-learning method that could reduce the number of tests and improve the timing of critical treatments for intensive care unit patients.