Ali Ganjizadeh
Portrait of Ali Ganjizadeh

Medical AI · Data · Evaluation

Ali Ganjizadeh, MD, MBA

Physician-scientist by training, engineer by practice, businessman at heart.

I work on the parts of medical AI that decide whether a model can be trusted: where the data came from, what the labels really mean, and how a model is evaluated before anyone relies on it.

I’m a Senior Technical Product Manager at HOPPR, which builds foundation models for medical imaging, and a Research Collaborator at the Mayo Clinic Radiology AI & Informatics Lab. I’m also Vice Chair of the SIIM AI Education Committee.

Read the writing More about me

Writing

All posts →

·~13 min readMedAI Summit 2026Evaluation

The model is not the hard part

A melanoma AI that learned surgical ink, a cost label that missed need, an alert that is right 16% of the time and a sepsis model that drifted. Four questions anyone can ask about a medical AI tool, and why they are clinical questions.

Talks

  1. 28 Oct 2026 · 2nd MedAI Summit (online)The Model Is Not the Hard Part: The Clinical Foundations of Medical AI Talk notes · One-page checklist

Experience

Full story →
  1. Jan 2025 – nowHOPPRFoundation models for medical imaging, across the data and model lifecycle.
    • Senior Technical Product Manager Sep 2025 – now
    • Research Scientist Jan 2025 – Sep 2025
  2. Oct 2022 – nowMayo Clinic · Radiology AI & Informatics LabComputer vision, language models and informatics for radiology research.
    • Research Collaborator Jan 2025 – now
    • Postdoctoral Research Fellow Oct 2022 – Jan 2025
  3. Jan 2021 – Jul 2022Product Manager · Neuronio
  4. Nov 2020 – Jul 2022Emergency Physician · Susangerd General Hospital, Iran, Jundishapur University of Medical Sciences

Papers

Google Scholar →

  1. RadEval: a framework for radiology text evaluation

    Xu J, …, Ganjizadeh A, et al.

    EMNLP 2025, System Demonstrations, 2025

  2. RIDGE: reproducibility, integrity, dependability, generalizability, and efficiency assessment of medical image segmentation models

    Maleki F, …, Ganjizadeh A, et al.

    Journal of Imaging Informatics in Medicine, 2025

  3. Decoding large language models for radiology: strategies for fine-tuning and prompt engineering

    Vahdati S, Mahmoudi E, Ganjizadeh A, Chao C, Erickson BJ

    Radiology Advances, 2025

  4. From pixels to prognosis: AI-driven insights into neurodegenerative diseases

    Ganjizadeh A, Wei Y, Erickson BJ

    Medical Research Archives, 2024

  5. Visualizing clinical data retrieval and curation in multimodal healthcare AI research: a technical note on RIL-workflow

    Ganjizadeh A, Zawada SJ, Langer SG, Erickson BJ

    Journal of Imaging Informatics in Medicine, 2024