A study published in the February issue of the Journal of the National Comprehensive Cancer Network found cancer patients who are dually diagnosed with heart disease face a disproportionately high financial burden—something that might improve with a more streamlined and collaborative approach to cardio-oncology.

There are four areas in which AI must excel to become clinically viable in women’s medical imaging—particularly mammography: performance, time, workflow and cost, according to an opinion article published in the American Journal of Roentgenology.

With alcohol misuse playing a role in more than 25 percent of trauma cases, Loyola University researchers have developed a method that uses AI to predict the signs of alcohol misuse in these patients. The method could serve as an affordable option for trauma centers.

Kettering Health Network, an Ohio-based health system, is using AI to reverse the effects of strokes quicker, according to a report by WDTN News.

A new AI method that allows physicians to identify and predict the development of symptoms in post-chemotherapy patients is being tested by researchers from the University of Surrey and the University of California. Findings of the study were published in Scientific Reports.

The $69 billion merger between Aetna, one of the nation’s largest health insurers, and CVS, a major retail pharmacy chain and pharmacy benefit manager, has been touted as a “transformative moment” moment for the healthcare industry. Now that the deal has been completed, consumers are split on whether they'll move their care to the retailer. 

Apple could look to prioritize its AI efforts as iPhone sales decrease and the company seeks other growth areas, according to a recent report by CNBC.

Despite AI’s potential in healthcare, major ethical concerns—like consent, transparency and responsibility—still surround the technology and its use in medicine. To address those concerns, Georgia researchers are encouraging physicians and healthcare companies to provide detailed information on AI systems to mitigate concerns patients may have with the technology.