We introduce HealthDial, a dialogue authoring tool that helps healthcare providers and educators create virtual agents that deliver health education and counseling to patients over multiple conversations. HealthDial leverages large language models (LLMs) to automatically create an initial session-based plan and conversations for each session using text-based patient health education materials as input. Authored dialogue is output in the form of finite state machines for virtual agent delivery so that all content can be validated and no unsafe advice is provided resulting from LLM hallucinations. LLM-drafted dialogue structure and language can be edited by the author in a no-code user interface to ensure validity and optimize clarity and impact. We conducted a feasibility and usability study with counselors and students to test our approach with an authoring task for cancer screening education. Participants used HealthDial and then tested their resulting dialogue by interacting with a 3D-animated virtual agent delivering the dialogue. Through participants' evaluations of the task experience and final dialogues, we show that HealthDial provides a promising first step for counselors to ensure full coverage of their health education materials, while creating understandable and actionable virtual agent dialogue with patients.

Manufacturer Nvidia recently welcomed the 1000th health care AI startup company to its Nvidia Inception program, a fast-track support for companies seeking to use machine learning for their ventures. Today the firm officially declared The Nvidia Inception Alliance for Healthcare, which gives members access to resources, particularly for the healthcare business, the GE Healthcare Edison Developer Program. Nvidia Inception is thought of as personalized service for startup companies working with machine learning, providing training and technical assistance with artificial intelligence, in addition to early access to the manufacturer's cutting edge hardware. The Alliance for Healthcare specifically introduces a host of benefits for FDA-approved Premier members, namely access to Nuance AI Marketplace for Diagnostic Imaging, a database of confirmed medical models for coaching algorithms. Nvidia will probably be hosting a particular address open to the public tomorrow at 5 pm CT (11 am Monday GMT) to discuss how the program is working with healthcare professionals in fields ranging from radiology and information science, which has the capacity to automate mundane, repetitive jobs in medical labs and much more rapidly interpret complex information, to the growth of medical devices, including prosthetic limbs that accurately forecast the user's moves.

The Stanford Center for Health Education has launched an online program on Artificial Intelligence in Healthcare. Designed for technology professionals, computer scientists, and healthcare providers, the program aims to advance the delivery of patient care and improve global health outcomes through artificial intelligence and machine learning. The online program will be taught by faculty from Stanford Medicine. The program's goal is to foster a common understanding of the potential for AI to safely and ethically improve patient care. "Effective use of AI in healthcare requires knowing more than just the algorithms and how they work," says Nigam Shah, associate professor of medicine and biomedical data science, the faculty director of the new program.