LabCompass

Giovanni Lujan

Computer Science · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2006Rising activity
AI in cancer detectionRadiomics and Machine Learning in Medical ImagingDigital Radiography and Breast ImagingArtificial Intelligence in Healthcare and EducationPancreatic and Hepatic Oncology Research

Publications

36

Citations

1,050

Est. group size

~4

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Giovanni Lujan works on digital and computational pathology, focusing on how whole-slide imaging, machine learning, and AI tools can be adopted into clinical pathology practice. Much of the work addresses practical implementation issues such as evaluating AI performance, standards, workflow transitions to digital sign-out, and the financial case for adopting these technologies. This work is relevant to students interested in applying computer science methods to real-world clinical laboratory settings.

Digital pathologyAI/machine learning in medical imagingWhole-slide imagingClinical AI implementation and standardsHealthcare technology adoption

Publication output has grown from near zero in 2017-2018 to a sustained several papers per year since 2021, with a peak of 8 in 2025, indicating an increasing and active publication pace over the last decade.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
17182019: 1 publication192020: 1 publication202021: 4 publications212022: 5 publications222023: 4 publications232024: 3 publications242025: 8 publications8252026: 4 publications26
Recent publications
Publishes in
  • Journal of Pathology Informatics×8
  • Laboratory Investigation×5
  • Archives of Pathology & Laboratory Medicine×3
  • American Journal of Clinical Pathology×2
  • Journal of Clinical Oncology×2
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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 19, 2026.

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