Along with AI in its various iterations, the list may include virtual and augmented reality, 3D printing and visualization, robotics and other innovative technologies changing healthcare delivery.

Radiology being the medical specialty furthest along with AI, the technology will take the spotlight at sessions, in exhibits and on a pavilion reserved for healthcare AI vendors.

The business magazine Fast Company is out with its picks for the “next big things in tech.” Of 65 companies making the overall list for 2021, the project’s inaugural year, 10 of the best are in healthcare.

Potential medical applications include brains inside heads and hearts within chests.

The FDA has OK’d a prescription-only virtual reality system that patients with chronic back pain can use at home to relieve their suffering.

Researchers have used AI and 3D modeling to identify more than 100 heretofore undiscovered protein complexes and classify more than 700 that were known but until now remained obscure.

Researchers have used deep learning to predict success, failure or complications in transplanted kidneys by analyzing pathology slides at scale.

Cardiology experts utilized more than 1.5 million ECGs performed over 35 years to develop their tool.

USC’s Signal Analysis and Interpretation Laboratory built the AI model with transcripts from more than 1,100 real conversations with patients. 

“With new mutations of the virus with higher transmission rates, it is imperative to diagnose positive cases as quickly and accurately as possible,” researchers wrote. 

Current trial-and-error approaches may force patients to suffer through severe depression for months, leading to loss of employment, marriage or life. 

One specialist described the findings as "revolutionary," noting that the system could help save health systems significant money. 

Around the web

Early valve replacement was associated with improved outcomes in a new study published in Circulation.

The Department of Defense is gifting Case Western researchers a grant to study the use of AI in determining whether patients require surgery. 

Research publications by radiologists increased by 167% during the second year of the mentorship program, doctors at West Virginia University reported.