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AI Robotics Coding Teaching Robots to Map Large Environments: A BreakthroughNortheastern Team Creates New AI tool that can Detect Melanoma with 99% AccuracyNortheastern Team Creates New AI tool that can Detect Melanoma with 99% AccuracyCMU Team Develops Sotopia, an AI Tool Designed to Evaluate the Social Intelligence of AI AgentsPhysical AI: CMU Leads the Next Wave of Intelligent MachinesThe Future of Smart RobotsBuilding Biological Robots from Human Cells.The Hunger GamesBrave New WorldUCLA Scientists Build Light-Powered Robot That Flaps Like a Bee1984CMU Trains Navy Robotics Specialists for the Age of AIHarvard Researchers Advanced Quantum InternetMIT’s New Bionic Knee Feels Like Part of the Body, Not Just a ToolCaltech Researchers Create a New, Noninvasive Way to Measure Blood PressureAI Takes Flight: Boston University’s AIR Initiative Leads Cross-Disciplinary InnovationResearchers at Carnegie Mellon University are Developing a New Cancer Implant TechAutonomous Insect Robotics LaboratoryNortheastern University Research Could Bring Virtual Reality Closer to RealityCaltech Creating AI Program to Solve Decades Old Math ProblemsAI/Biomedicine lab at the University of WashingtonFuture of Data Science EducationCMU – AI Driven RobotsFahrenheit 451The Assistive Robotics and ManipulationAI Predicting Health OutcomesHow Robots Are Helping PeopleGTGraffiti A Robot That Paints Like A HumanThe MartianFour-Legged Robotic System From MITAI Making Streets SaferHUBO RobotsAI Simulation To See Your Future SelfRobot Muscles At MIT

Northeastern Team Creates New AI tool that can Detect Melanoma with 99% Accuracy

November 10, 2025

Introduction

Melanoma is the most serious form of skin cancer that affects about 212,000 people every year in the United States according to the American Academy of Dermatology. If melanoma is not detected early it may lead to a spread to the lymph nodes as well as internal organs and become fatal. In order to improve early detection of melanoma, Northeastern University researchers decided to design an AI model to detect it accurately.

Who is working on the AI model?

One of the two main researchers working on the project is Divya Chaudhary, an assistant teaching professor of CS at the Seattle campus. The other researcher is Peng Zhang, a student at the Khoury College of Computer Sciences. Together the team developed a new and extremely accurate model to detect melanoma.

What is this AI model?

The AI model is called the SegFusion Framework and it helps doctors detect melanoma more easily and accurately. The AI model was created by combining the roles of two learning models that utilize many algorithms to recognize patterns in data and make conclusions from the data.

How does this AI model work?

The first of learning models looks for and identifies suspicious spots in skin images which is a sign of melanoma. The other model looks deeper into such locations of the skin to determine whether they are cancerous or not.

Northeastern’s Impact

These Northeastern University researchers’ work has made a big impact through the advancement experiential learning model, mainly the global co-op program which over time improves experimental AI for everyone. Additionally, the improvement of melanoma detection will help save many lives all over the world and improve the medical field as a whole with new ideas being thrown around.