LabCompass

Rakesh Shiradkar

Medicine · Indiana University

OpenAlex ORCID
Radiomics and Machine Learning in Medical ImagingProstate Cancer Diagnosis and TreatmentProstate Cancer Treatment and ResearchMRI in cancer diagnosisAI in cancer detection

Publications

83

Citations

1,136

Est. group size

—

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Rakesh Shiradkar develops artificial intelligence and machine learning methods for analyzing medical images, with a strong focus on prostate cancer and, more recently, kidney cancer. The work includes building computer models that read MRI and CT scans to detect, characterize, and predict treatment outcomes for cancer, as well as combining imaging data with tissue-level genetic analysis. Recent projects also explore large language models and knowledge graphs applied to healthcare.

Radiomics and medical imaging AIProstate cancer detection and risk stratificationDeep learning for MRI/CT analysisSpatial and single-cell RNA sequencing of tumorsLarge language models in healthcare

Publication activity has grown noticeably in recent years, rising from mid-single digits to over a dozen outputs per year by 2025-2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 10.0/year recently
2017: 5 publications172018: 3 publications182019: 4 publications192020: 10 publications202021: 7 publications212022: 3 publications222023: 7 publications232024: 9 publications242025: 14 publications252026: 17 publications1726
Recent publications
Publishes in
  • The Journal of Urology×12
  • Journal of Clinical Oncology×5
  • Journal of Magnetic Resonance Imaging×4
  • Cancer Research×4
  • Laboratory Investigation×4

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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