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.

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.

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.

According to one tech stakeholder, understanding AI will be useful to doctors in the era of personalized medicine, when clinicians will be both prescribing medication and projecting the chances of success based on the patient’s genetic make-up.

The researchers’ long-term goal is to expand access to treatment services to people in emerging markets who currently cannot receive care from mental health professionals because of cost and human resource constraints.

Healthcare systems around the world are under increasing pressure from aging populations, but AI tools are rapidly coming on-line to help.

To address the global shortage of expert radiation oncologists, the contest designers challenged an international community of programmers to rapidly produce automated AI algorithms that could replicate expert manual lung tumor segmentations.