Talk about AI in medicine often focuses on the most exiting possible innovations like precision diagnostics, clinical prediction systems, and analytics-driven drug discovery. However, with the arrival of large language models like GPT-4, Bard, and LLaMA, there is growing enthusiasm for how AI might reshape the more mundane aspects of clinical practice: clinical documentation and electronic health records.
A lawsuit filed in Centre County Court this week alleges that Mount Nittany Health violated medical privacy rights by disclosing patients’ private information to Facebook, Google and other third-party websites without their knowledge.
Accelerating medicine’s AI race, Google is releasing a version of its generative language model to healthcare customers who will begin testing its ability to perform specific tasks in medical and research settings.
With maturation of digital diagnostics and therapeutics as well as a new generation of evidence-based psychotherapies delivered by digital platforms, both the public and developers would benefit from a process that separates useful products from the digital equivalent of snake oil.