Researchers at Boston’s Beth Israel Deaconess Medical Center are sharing insights they gained while building a locally focused, AI-aided model for anticipating COVID-19’s next moves.  

People have been anticipating the demise of radiologists for years, speculating that AI will soon be interpreting imaging results with the precision of a seasoned veteran.

The COVID-19 crisis has worsened or exposed myriad problems in healthcare delivery. One is the way patients find physicians and hospitals. AI can help with that.

The COVID crisis has significantly increased the volume of data healthcare providers are rushing into the cloud. This “smash and grab” behavior is largely explained by the spike in healthcare workers doing their jobs remotely.

“The fusion of AI and healthcare is one of the most lucrative opportunities I’ve come across in my entire career,” writes the founding partner and CEO of an investment research firm.

During the fourth, fifth or sixth year of medical school, more than half of students across faculties in Brazil’s largest city believe AI is a threat to the radiology job market.

AI-aided physicians are better at diagnosing real-world skin cancer than either AI or physicians alone, and the least-experienced clinicians derive the most benefit from the algorithmic assist.

A Canadian healthcare AI company is partnering with a DNA analytics outfit in California to explore how genomics can help advance the science of precision medicine.

A free web tool known as “Chester the AI Radiology Assistant” can assess a person’s chest X-rays online within seconds, ensuring patients’ private medical data remains secure while predicting their likelihood of having 14 diseases.

Why does COVID-19 severely sicken some people and barely bother others who catch it? The C-suite at Johns Hopkins is hoping technology can help unravel this mystery.