3+ months of GigHz Precision AI — free, in exchange for honest feedback.
Built for trainees: dictate positive findings in plain English, get a fully structured ACR/SIR-templated report on the first pass. No re-dictation. No template gymnastics. No sign-off battles.
- ACR + SIR-aligned templates as the default backbone of every report
- Free-form dictation for positive findings — say what you see, the AI structures it
- Built-in popups for LI-RADS, Bosniak, Lung-RADS, and Fleischner — never miss a category
- Get the report right the first time — fewer corrections, faster sign-off
- HIPAA-aware — built with PHI handling best practices in mind
Open to current radiology residents (PGY-1 through PGY-5), IR fellows, body imaging fellows, and other radiology subspecialty fellows. Training verification required before login is issued.
Why this works for trainees
You're reading 30+ studies a shift. The bottleneck isn't the imaging — it's the report. We built this to fix that.
ACR & SIR templates as default
Every report starts from the right structured template — diagnostic radiology and IR procedures both. No more copy-pasting from word docs or hunting for the right macro.
Dictate positive findings, free-form
Say "5mm enhancing nodule in segment 4A" the way you'd describe it to your attending. The AI inserts it into the correct anatomic section, formatted to template.
Right the first time
Less re-dictation. Fewer attending corrections. Faster sign-off. The system learns the structure your program expects.
Built-in guideline popups — never miss a category
When you dictate a finding that triggers a guideline-managed lesion, the system surfaces the right category prompt inline. Pick the score, keep dictating.
Hepatic lesion characterization for body imaging. LR-1 through LR-5 + LR-M, LR-TIV, LR-TR auto-prompted on liver lesions in at-risk patients.
Cystic renal mass classification — Bosniak I through IV. Triggered on kidney lesions with cystic features.
Lung cancer screening categorization for low-dose CT. 0 through 4X with appropriate follow-up recommendations.
Incidental pulmonary nodule follow-up guidelines. Solid, part-solid, ground-glass — auto-stratified by size and risk profile.
Active development on TI-RADS, BI-RADS, PI-RADS, O-RADS, and adrenal washout protocols. Resident feedback shapes which categories ship next — that's why we want trainees in early.
How it works
Built to fit into your existing workflow — not replace it. No PACS integration headaches, no IT tickets. Browser-based, secure.
Pick the study type
CT abdomen with contrast, IR PortaCath, MR liver — pick from the ACR/SIR templated dropdown. The skeleton report loads instantly with the correct technique, anatomic sections, and impression structure.
Dictate positive findings naturally
Free-form: "5 mm hyperenhancing nodule in segment 4A, no washout, looks benign." The AI parses anatomy, measurement, enhancement pattern, and routes it to the correct organ section.
Categorize when prompted
When a finding triggers a guideline (LI-RADS, Bosniak, Lung-RADS, Fleischner), a popup surfaces the relevant criteria. Pick the score — the system fills in the recommendation language.
Review and sign
Final report rendered in template format with measurements, categorization, and follow-up recommendations consistent with the latest society guidelines. Edit in-line if needed, then export to your dictation system.
What we ask in return
Free access — really free, not "free trial that auto-bills." In exchange, we want your honest input. Three simple things:
- Brief structured feedback after your first 30 days — 5-10 minutes, what worked, what broke, what you wish it did
- Flag categorization or template gaps as you encounter them — quick form, no formal write-up
- A short check-in at month 3 — what would you tell a co-resident, and what should ship next?
That's it. No publication credits required, no committee formality, no NDA blocking your training program. Your feedback shapes what we build next.
How to sign up
Submit through the intake form below and indicate you're a resident or fellow. We verify training status manually before issuing a login — usually within 1-2 business days.
Include the following in your intake submission:
- Your full name and training email — institutional .edu / hospital domain preferred
- PGY year — PGY-1 through PGY-5, or fellowship year (e.g., IR-1, Body-Imaging-1)
- What you're training to become — Diagnostic Radiology, Interventional Radiology, Body Imaging fellowship, Neuro fellowship, etc.
- Hospital / training program — full institution name (e.g., Montefiore Medical Center, Cedars-Sinai, Emory University)
- Expected training completion date — so we know when to extend the access
Verification typically takes 1-2 business days. We'll confirm via your training email. Once verified, you get a login link with 3 months of access — extended automatically if you're engaged with feedback.
Get the report right the first time.
Built by a practicing interventional radiologist who remembers what residency reports felt like. Free for trainees. Honest feedback in exchange. That's the deal.
HIPAA-aware. ACR + SIR template-aligned.
Written and reviewed by Pouyan Golshani, MD, Interventional Radiologist — Last updated May 5, 2026