LabCompass

Matthew Pease

Medicine · Indiana University

Publications

73

Citations

1,353

Est. group size

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Matthew Pease conducts clinical neurosurgery research focused on brain injury and brain tumors. A major thread is predicting patient outcomes or example, forecasting post-traumatic epilepsy after severe head injury and estimating recurrence and mortality risk for tumors and bleeding on the brain. Much of this work applies machine learning and artificial intelligence to imaging, EEG (brain electrical activity), and clinical data.

Traumatic brain injury and post-traumatic epilepsyBrain tumors (glioblastoma, meningioma, pituitary adenoma)Machine learning and AI for clinical predictionChronic subdural hematoma outcomesNeurosurgical oncology and imaging analysis

Publication activity grew sharply after 2020, peaking around 2022-2023, and has remained at a high, steady level (roughly 10 papers per year) since.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 10.2/year recently
2017: 1 publication172018: 2 publications182019: 1 publication192020: 7 publications202021: 3 publications212022: 13 publications222023: 15 publications15232024: 10 publications242025: 10 publications252026: 3 publications26
Recent publications
Publishes in
  • Neurosurgery×14
  • World Neurosurgery×5
  • Neuro-Oncology×4
  • Journal of Neuro-Oncology×4
  • Annals of Neurology×2

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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