Healthcare AI News 7/26/23

News

Amazon Web Services launches AWS HealthScribe, which allows developers to create clinical documentation tools that use speech recognition and generative AI. Software companies can use a single API to create transcripts, extract terms, and create summaries of doctor-patient conversations. The service will initially support applications for general medicine and orthopedics. AWS HealthScribe is priced per second of audio transcript, with the company estimating that processing 1,000 visit transcripts per month would cost $1,500. The company also says that the service is HIPAA-eligible and the company will not use its content for machine learning training.

ChatGPT developer OpenAI sunsets its tool that it hoped would be able to identify whether text was generated by AI or humans, citing the software’s low rate of accuracy.

Sen. Elizabeth Warren (D-MA) is investigating Google’s attempts to gain access to data from the military’s Joint Pathology Center for use in building healthcare AI tools, also accusing the Defense Department of showing favoritism toward Google. ProPublica previously reported that Google offered to digitize the military’s 55 million pathology slides in return for exclusive access to the archive.

Business

Safety-focused healthcare large language model developer Hippocratic AI raises another $15 million in its seed funding round, increasing its total to $65 million.

Vanderbilt University Medical Center will use Nference’s AI-powered federated clinical analytics platform to analyze combined de-identified data from EHRs, imaging systems, and digital pathology in biomedical research. VUMC will digitize its glass slide pathology using a digital pathology solution from Nference-owned Pramana.

Korea Exchange warns investors that share prices of some of the country’s medical AI companies show signs of manipulation, noting as an JLK, whose shares are up 1,000% so far this year.

Other

A hospital in Belgium is using a smartphone app called PMcardio that can analyze an ECG in five seconds to detect 38 cardiovascular conditions, either as a second opinion for cardiologists or as a primary diagnostic tool for ED doctors and GPs. Powerful Medical says its app is available for use in 15 European countries.

Researchers confirm that Prevencio’s AI-powered lab tests can accurately determine the risk of heart attack, stroke, and cardiac death, as validated by coronary or peripheral angiography. The company’s seven tests are AI-derived and algorithmically score multi-proteomic biomarkers. President, CEO, and board member Rhonda Rhyne is a pharmacist with life sciences leadership experience who joined the company in 2013.

The VP of data science at Unity Health, the first hospital in Canada to form a dedicated applied AI team, describes how AI might be used by hospitals:

• AI will make sense of the data that is already stored in hospital systems.
• It will get better at highlighting at-risk patients.
• High quality, nationwide health data sets are needed to create algorithms for rare conditions.
• AI should be trained on peer-reviewed publications rather than incomplete or low-quality data found on the Internet.
• Unity Health will use generative AI to help generate admission notes, discharge notes, and progress notes that clinicians will review, edit, and approve.

Contacts

Mr. H, Lorre, Jenn, Dr. Jayne.
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