Blockchain technology is starting to gain popularity in the healthcare industry due to its ability to keep data safe and secure. So what do physicians and patients think about this growing trend?

AI models can predict when patients may be at an increased risk of in-hospital mortality, according to new research published in JAMA Network Open. If implemented, such models could be used to help healthcare providers improve decision-making and deliver better patient care.

Blockchain technology can play a key role in the management of medical records, according to a new commentary published in npj Digital Medicine.

Radiology researchers are turning to deep learning (DL) technology to make NLP even more effective—and it’s a growing trend that shows no signs of slowing down.  

One of the world’s largest insurance providers is now using AI and data analytics to monitor patient data, deliver personalized messages and update electronic medical records for physicians.

XRHealth has developed a new platform that allows physicians and their patients to communicate directly using virtual reality (VR) and augmented reality (AR).

Machine learning algorithms can be used to identify cancer patients at risk of short-term mortality, according to a new study published in JAMA Network Open. This helps providers plan for necessary conversations about end-of-life preferences.

Northwell Health, a New York-based nonprofit health system, is building its own electronic health records system and leveraging AI to do it, Axios reported.

Several major charitable organizations are banding together to prevent 6 million deaths in 10 countries by 2030 using Big Data to provide precision medicine.

Intermountain Healthcare has opened an AI-powered service line for patients with chronic kidney disease and end-stage renal disease.

When patients and family members discuss end-of-life matters with professional caregivers, the silences between words can be as telling as the words themselves.

A health-management company in Arizona is expanding its use of AI to detect risk factors in Medicare Advantage patients by scanning doctors’ notes to automatically flag patients who need additional reimbursable care.