Commercially available smartphones and smart speakers could be trained to recognize breathing sounds indicative of cardiac arrest, then call for help, according to a proof-of-concept study published June 19 in npj Digital Medicine.

An IBM algorithm combining machine and deep learning to analyze health records and mammograms was able to predict the development of breast cancer up to 12 months before its onset with nearly 90 percent accuracy, according to a study published June 18 in Radiology.

A new clinical decision support algorithm developed by Remedy, a company that connects employers, insurers and health systems, for patients being discharged could save hospital $860 per episode of care.

Mount Sinai Health System has tapped Burlington, N.C.-based LabCorp to lead the integration of Philips' IntelliSite Pathology Solution into the New York City-based health system's hospitals.

By analyzing only the Facebook posts of nearly 1,000 patients, an artificial intelligence algorithm was able to correctly detect 21 separate conditions, according to a study published June 17 in PLOS One.

Amid growing concerns about the ethical implications and often biased tendencies of artificial intelligence, venture capital firms and technology accelerator programs are increasingly requiring startup clients to develop guidelines regarding the ethics of their AI offerings, The Wall Street Journal reports.

With researchers continually developing algorithms that can interpret imaging data with superhuman accuracy, radiology is the medical field in which artificial intelligence has so far made the most progress.

Ensuring that artificial intelligence can be utilized by women with the same success as their male counterparts will require far more than simply updating biased algorithms, according to leaders from Microsoft and Google.

Machine learning analysis of duodenal biopsy images expedited the process of imaging, diagnosing and treating gut diseases in children, according to a study published this month in JAMA Network Open.

Each year when they draft their budgets, hospital executives and other healthcare leaders are challenged to find ways to cut costs while maintaining high-quality services within the hospital revenue cycle.

Machine learning was able not only to detect speech patterns indicative of psychosis, but also to identify a new pattern associated with the prodromal phase of psychosis, enabling an algorithm to predict the later emergence of psychosis with more than 90 percent accuracy, according to a study published June 13 in npj Schizophrenia.

Indianapolis-based Community Health Network has tapped M*Modal's conversational artificial intelligence platform to streamline clinical workflows using virtual scribing and automated transcription technology.

Almost exactly one year after issuing its first policy recommendations on the use of artificial intelligence in medicine, the American Medical Association clarified its goals regarding medical AI and expanded its corresponding list of policy recommendations during the AMA House of Delegates annual meeting this week.

State-of-the-art machine learning algorithms diagnose benign and malignant skin lesions more accurately than dermatologists, dermatology residents and general practitioners, according to a study published June 11 in The Lancet Oncology.

IBM released its inaugural list of 40 women around the world who are pioneering the use of artificial intelligence in their industries, including two from the healthcare sector.

An artificial intelligence tool that alerts radiologists to critical cervical spine fractures to ensure timely diagnoses received FDA clearance, Israeli company Aidoc announced June 11.

University of Virginia nephrologist and director of dialysis system Brendan Bowman, MD, has teamed up with engineers at the university to develop predictive techniques to improve medication dosing protocols.

Patient notes are critical to quality patient care, but for physicians, medical documentation may at times feel at odds with this goal.

New York City-based Mount Sinai Health System's Icahn School of Medicine announced on June 11 the launch of the Hamilton and Amabel James Center for Artificial Intelligence and Human Health, which will promote the use of AI, data science and genomics to further disease research and treatment.

A machine learning model produced low-dose CT images with greater speed and accuracy than previous attempts to use less radiation in CT imaging, according to a study published this week in Nature Machine Intelligence.