Artificial Intelligence

While traditionally deeply skeptical of artificial intelligence in clinical settings, in today's fast-changing care delivery landscape many physicians are thinking more proactively about how AI can improve quality and patient experience.

Bias in dermatology toward white skin can result in missed diagnoses for people of color, say VisualDx's Dr. Art Papier and Dr. Nada Elbuluk.

Professor Karol Sikora, chief medical officer at Rutherford Health, discusses the most pressing needs in oncology today and how he envisages cancer treatment decision-making in the next decade.

Health systems need an omnichannel patient engagement platform that uses sophisticated AI technology, says Peter Durlach, chief strategy officer at Nuance.

Red Hat's Healthcare Market Leader Atif Chaughtai discusses how to find signals in data in a clinical setting to diagnose patients earlier than a typical diagnosis takes.

Health systems that refuse to see themselves as engineering houses risk falling behind in their ability to properly leverage artificial intelligence and machine learning.

The chief digital and information officer describes the health system's new Alexa Skill for home care patients as well as larger emerging trends around AI and remote patient monitoring.

VisiQuate CEO Brian Robertson describes how new machine learning tools are helping surface relevant information where and when it's needed, and discusses broader trends in AI and automation in healthcare.

Supply chain visibility and inventory control tools can help safeguard opioids, controlled substances, expensive oncology therapeutics and vaccines, which are at risk of being stolen and sold on the black market, says Tom Knight, CEO of Invistics.

Piece Technologies CEO Dr. Ruben Amarasingham and OSF Ventures' Dr. Garrett Vygantas discuss how AI can make physicians' lives easier.