The Future of Recycling is Intelligent, and it Starts at Stony Brook

Ruwen Qin

Stony Brook researchers launch AI-powered recycling project to reduce waste contamination and improve sustainability.

Stony Brook, NY, July 6, 2025 — A new research initiative funded by Stony Brook University’s AI Innovation Seed Grant is reimagining how we tackle one of the most persistent problems in recycling: contaminated waste streams. By combining video footage and cutting-edge artificial intelligence, researchers aim to automate the analysis of recycling materials, reduce contamination, and lay the groundwork for smarter, cost-effective, and sustainable waste management.

Stony Brook Medicine Pioneers Use of AI Technology for Heart Disease Diagnosis on Long Island

Plaque Analysis

Stony Brook Medicine is the first on Long Island — and one of a select number of healthcare systems nationwide — to implement an artificial intelligence (AI) technology, HeartFlow Plaque Analysis™, to enable its physicians to more accurately understand the blockages present in the coronary arteries of patients with suspected heart disease. This advancement, introduced at Stony Brook through a collaboration by the Division of Cardiology and the Department of Radiology, represents a significant milestone in the fight against heart disease, which remains the leading cause of death for adults in the United States.

AI Tool Aims to Personalize Surveillance for Aortic Aneurysm Patients

AAA

Stony Brook researchers develop artificial intelligence system to predict aneurysm growth and rupture, offering tailored imaging and follow-up recommendations for patients.

Stony Brook, NY, May 4, 2025 — Current medical guidelines for monitoring abdominal aortic aneurysms (AAA) rely heavily on a single factor: the diameter of the aneurysm. But patients are more than a number—and their care should be too. A new research initiative at Stony Brook University Hospital is rethinking how clinicians track and treat this serious vascular condition by developing an artificial intelligence-driven clinical decision support tool that takes into account the full complexity of each patient’s health data.