Facial recognition technology can be used to monitor sedated patients in intensive care units, alerting healthcare workers when a patient is at risk of accidentally removing a breathing tube or engaging in other risky behavior.
AI continues to wow healthcare watchers with sharp guidance on clinical decisionmaking, accurate aids to risk assessment and bankable workflow efficiencies. But healthcare was, is and always will be about “human-to-human relationships, trust and healing.”
Researchers in Texas and Taiwan have collaborated to develop a deep-learning tool that can precisely asses the risk of breast cancer—and with it the need for biopsy—in patients with lesions of questionable concern found in mammograms.
Diagnosing coronary artery disease, the most common type of heart disease in the U.S., can be improved by AI, according to a new, multicenter international study published in The Journal of Nuclear Medicine.
An AI analysis of hospital patients’ satisfaction with the care they received from their nurses has shown two things. One, the technology can guide nurses as they strive to optimize the hospital experience for patients and their families. Two, nurses can help advance AI in healthcare.