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Environment near breast cancer tumors may hold key information for prognosisBy using AI to analyze tissue patterns, researchers gain new insights into why some patients respond better to specific treatments

Scientists Use Machine Learning to ‘See’ How the Brain Adapts to Different Environments --Visualizing connections between nerve cells in brains of mice is enabled by artificial intelligence

Brain imaging technique allows researchers to achieve more with less dataHopkins team develops new algorithm that can create 'super-scans' of the brain

New tool blends classic math and AI to tackle complex challengesLearned Proximal Networks offer reliable solutions for tasks like image restoration, reconstruction of medical scans, and other estimation problems.

Putting trust to the testHopkins researchers unveil new uncertainty quantification methods in an effort to promote appropriate trust in AI use.

Small changes, big consequences: Defending machine learning against adversarial attacksJohns Hopkins researchers investigate how machine learning classifiers can be made more resistant to adversarial attacks on their input.

Should expert radiologists label individual images or entire examinations? - Microsoft Research

Wanna bet? Testing conceptual importance for more explainable AIJohns Hopkins researchers used betting strategies to help clarify AI models’ decision-making processes.

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