Users interact with the new tool via a web interface that allows them to execute machine learning experiments and explore generated models, while an AI recommendation engine will automatically choose appropriate models and parameters.

Among other AI tools, says one public health expert, chatbots could help overcome stigma problems associated with mental health, because they can engage people who are otherwise reluctant to seek care.

Among the challenges the organizations say they'll target are physician burnout, alert fatigue, EHR optimization, data sharing and patient engagement and experience.

With effective strategic thinking, increasing healthcare efficiency and reducing costs in day-to-day processes, diagnostics, and treatment could be just the beginning of what AI can do for healthcare.

When combined with AI, data from novel sources such as environmental and community data, could revolutionize the way providers make clinical decisions, but only if the underlying architecture is in place.

Would you trust a robot to diagnose your cancer? According to a new study, that depends on how comfortable you are with machines in the first place.

According to a recent expert panel, one of the key principles that all should agree to when it comes to AI is that AI tools are meant to augment, not replace, doctors.

AI innovations have unleashed an avalanche of previously inaccessible data for analysis and customized patient interventions, says one expert, but providers need a methodical approach to putting that data to effective use.

As the healthcare sector begins to realize the benefits of AI, says one observer, medical students and practitioners must not lose sight of how technology is shaping the future of the profession.