Connected Care

K Health, a New York-based health technology company, raised $25 million in a recent funding round for its AI-powered health app that checks symptoms and provides information about a user’s health, according to information available on Crunchbase.

Dozens of hospitals and research institutions across the United States and Europe have joined a new AI-powered medical research network.

San Francisco-based startup Myia Labs has raised $6.75 million in seed funding to further develop its patient-monitoring platform, according to Yahoo Finance.

Researchers with the Brigham and Women’s Hospital (BWH) in Boston have developed a device that uses AI to automatically detect signs of ovulation in women, according to a recent study. The device could mean a more cost-effective and accurate resource for women looking to plan or prevent pregnancy.

An Atlanta research team has developed a smartphone app that can screen for anemia just by taking a picture of a person’s fingernails—paving the way for a new, noninvasive method to detect and diagnose the condition.

As healthcare leaders prioritize reducing costs, one executive believes the way to get there involves wearable devices with sensors, digital assistants and AI, according to a report by The Wall Street Journal.

That smartphone you’re carrying around in your hand could potentially be used as a tool to help recognize signs of depression in patients and lead to earlier intervention, researchers with Stanford University suggested.

The UMass Memorial Medical Center in Worcester, Massachusetts, is partnering with Israel-based company CLEW Medical to integrate an AI analytics platform into its Tele-ICU program to help monitor patients and make predictions about life-threatening conditions.

Jim Wang, chief executive officer of healthcare conglomerate Nova Vision Group, believes AI will help even the quality of healthcare between rural and urban parts of China, according to a report by CNBC.

AI-powered medical clinics will now be offered to shoppers at several Phoenix-area grocery stores in an effort to provide better access to healthcare.

University of Oxford researchers were able to predict a patient’s risk of being admitted into emergency care by using machine-learning techniques with electronic health records (EHRs), according to a study published in PLOS Medicine.

CMS will launch an AI challenge focused on improving healthcare delivery in 2019, the agency announced on Nov. 16.