Machine Learning in Neurosurgery Laboratory


Welcome to the Machine Learning in Neurosurgery (MLiNS, pronounced 'em-linz') Lab at the University of Michigan

The MLiNS Lab studies how machine learning and artificial intelligence can be used to improve the diagnosis and treatment of patients with neurosurgical diseases.

Research

Video of our neural network model learning to identify individual tumor nuclei in histology images

Publications

Journals where our lab has published

People

Our team hard at work

Contact

Go Blue!

The MLiNS Lab, led by Dr. Todd Hollon, works at the intersection of AI, biomedical research, and clinical medicine. The applications of AI in medicine have grown tremendously over the previous decade. AI systems are now being used for early cancer detection, computer-aided diagnosis, automated tumor localization, and personalized treatment recommendations. Our group aims to translate the latest advances in AI, machine learning, and computer science to improve the diagnosis and treatment of patients with neurological and neurosurgical diseases.


What is the background? We use a special kind of neural network, called a generative adversarial network, to synthesize 'fake' images to improve how well we are able to diagnose brain tumors from real patients during surgery. Our background contains a mix of real and fake images: can you spot the fakes?