About GigHz

    Software and research for the parts of medicine doctors were never taught.

    GigHz is a physician-led venture studio in West Hollywood, California. We build and operate software businesses in healthcare and data research: clinical AI that supports a physician's judgment, tools and data for the business and money decisions medicine never trained doctors for, and research that uses public data to show what's actually happening.

    It's led by Pouyan Golshani, MD, a practicing interventional radiologist. One rule runs through all of it: the software proposes, the physician decides.

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    Member of NVIDIA Inception

    Startup credits awarded by AWS and Google Cloud.

    What GigHz does

    Four areas. Most of the tools in each are free.

    Clinical AI

    Two products and a shelf of free tools. The physician stays in charge.

    Clinical AI overview →

    Practice economics & facilities

    The numbers behind an ASC, OBL or imaging center.

    • CenterIQ — hospital price-transparency rates turned into payer benchmarks and pro formas, so the reimbursement assumption gets checked before the capital is committed. Free to explore.
    • ASC, OBL & imaging-center consulting — we've consulted on facility projects and worked alongside consultants in the space. If you're weighing a build, reach out.
    • Where this is going — we're interested in building the next generation of ASCs and imaging centers: technologically advanced and AI-enabled from day one.
    Practice economics →

    Physician money

    Taxes, debt, real estate and the deals doctors get pitched.

    We don't sell investments, place deals, or invest on anyone's behalf. Nothing here is investment, tax or legal advice.

    Physician ownership →

    Research & policy

    Public data, practical questions, method published.

    All policy work →

    How we build

    ✍️

    The physician signs

    Every clinical tool drafts or suggests. A clinician reviews, edits and decides. Nothing goes into a report or a chart on its own.

    📎

    Show the source

    When a tool recommends something, it names the guideline behind it. You shouldn't have to take a recommendation on faith.

    🔒

    Collect less

    The free tools are designed to work without patient identifiers, and most run entirely in your browser. Data we don't hold can't leak.

    🩺

    Used by the person who built it

    The reporting tool gets used in a real reading room by the radiologist who wrote it. Problems show up fast that way.

    A note from the founder

    Pouyan Golshani, MD

    Pouyan Golshani, MD

    Founder · Interventional radiologist

    I've been building websites since I was about ten. I started trading around the same age. Neither habit stopped when medicine started.

    Medicine still takes most of my week. I trained in diagnostic radiology at Montefiore and in interventional radiology at Emory, and I practice as an interventional radiologist: ablations, embolizations, vascular work, and a lot of diagnostic reading.

    GigHz is where those two habits met. In the reading room I kept running into problems that looked like software problems. A follow-up recommendation that never made it into the impression. A guideline buried in a PDF. Colleagues making seven-figure ownership and investing decisions without data that was sitting in a public file the whole time. So I started building.

    GigHz is small. I lead it, and I work with outside help on specific projects. I'd rather tell you that than dress it up.

    Some of what we build already runs on its own site: Pogosh, Repit, Savng. The ones that earn it may become their own companies one day. None has yet.

    Board certified by the American Board of Radiology in diagnostic radiology, with a Certificate of Added Qualification in vascular and interventional radiology. MD, Boston University. StatPearls reviewer.

    I build and write in a personal capacity. My views don't represent my medical group.

    The study people ask about

    Cureus · July 2026

    Thirty years of FDA authorizations, and where clinical AI actually took hold

    We went through all 1,430 AI/ML-enabled medical device authorizations on the FDA list from September 1995 to December 2025. Radiology accounts for 1,094 of them. Authorizations rose from about 1.8 a year through 2014 to 264 a year across 2023 to 2025. Psychiatry and behavioral health have none.

    The part worth arguing about: clinical AI concentrated where data was already digital and standardized, not where the clinical need was greatest. That gap is now measurable instead of anecdotal.

    Written and reviewed by Pouyan Golshani, MD, Interventional Radiologist — Last updated April 8, 2026

    Part of the GigHz library: systems doctors were never taught.