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Reader's Choice: Our 10 Most Popular Market Scan Articles in 2025
The 10 most-read Market Scan articles of 2025, reflecting what mattered most to health care leaders this year: workforce shortages, rising cyber threats, volatile supply chains and continued experimentation by major retail and technology players seeking a foothold in care delivery.
AHA Center for Health Innovation, Collaboration & Partnerships, Behavioral Health Care Delivery, Telling the Hospital Story, Consumerism, Artificial Intelligence (AI), Heart Disease, Cancer, Diabetes, and Other Chronic Diseases, Wearables and Remote Patient Monitoring, Robots and Robotics, Nursing Thought Leaders
Hospitals Advance AI-Enabled Prevention at Scale
A new study from Johns Hopkins Medicine offers hospitals a glimpse of how artificial intelligence (AI) could make prevention programs more accessible without compromising results.
Takeaways from Cleveland Clinic’s Collaboration with Khosla Ventures
Cleveland Clinic is forming a strategic partnership with Silicon Valley health tech investor Khosla Ventures that will further the health system’s aims in funding tech startups and creating partnerships to advance care.
How One Health System Is Partnering to Help Patients Slim Down
Ascension Saint Thomas health system in Tennessee has entered into a strategic joint venture with PathPoint Health, a provider of metabolic care, to help people prevent and manage obesity, diabetes, or prediabetes.
Can a Selfie Really Estimate One's Age and Predict Cancer Outcomes?
Researchers at Mass General Brigham have developed a deep learning algorithm called FaceAge that uses a photo of a person’s face to predict biological age and survival outcomes for cancer patients.
The FDA Clears Apple Watch-Powered Platform for Seizure Monitoring
EpiWatch — a Johns Hopkins Medicine spinout — has received FDA 510(k) premarket clearance for its seizure detection platform that runs on the Apple Watch.
Early Disease Detection: 3 Tech Trends to Watch
One trend CB Insights analysts are watching is how AI is helping patients engage with health systems before the diagnostic process begins and to flag diseases earlier.