The project falls under falls under the healthcare group on Google Brain, part of its Google AI division, and is sometimes referred to internally as "Medical Brain." It has the "ambitious goal" of deploying tests with an external health-care partner by the end of the year, according to one job listing.
The project would likely take advantage of the complex voice technologies Google already uses in its Home, Assistant, and Translate products.
Late last year, the healthcare-focused Brain team, co-founded by product manager Katherine Chou, launched a "digital scribe" study with Stanford Medicine to use speech recognition and machine learning tools to help doctors automatically fill out electronic health records, or EHRs, from patient visits. For physicians, it can be a laborious, frustrating process: Doctors spend nearly two hours on documentation per hour of direct patient care, according to a recent study.
Dr. Steven Lin, the Stanford physician spearheading the research with Google, told CNBC the challenge is an AI-powered speech recognition system needs to accurately "listen in" to a patient visit and simultaneously parse out the relevant information into a useful narrative.
"This is even more of a complicated, hard problem than we originally thought," he said. "But if solved, it can potentially unshackle physicians from EHRs and bring providers back to the joys of medicine: actually interacting with patients."
Accuracy is another big issue because a simple mistake like a computer notating "hyper" versus "hypo" can be potentially life-threatening, especially if the doctor doesn't thoroughly check the note.
The first phase of the Brain study will conclude in August. Lin said both parties plan to renew the collaboration for a second phase for at least another year.
Google's recent job postings indicate that the company is looking to further build its team and invest more resources. One opening for a medical assist product manager looks for someone who can advance its research by driving business deals, including commercial and legal terms.
A Google spokesperson declined to comment on the job postings but pointed CNBC to its study with Stanford. Brain's healthchare team has also worked with top hospitals to use its machine learning expertise to predict when patients might get sick.