The radiology AI that refuses to make things up. Every claim traced, tiered and checked against curated medical evidence — built by a working radiologist.
A cirrhotic patient post-TACE for segment 6 HCC shows no convincing residual enhancement on follow-up CT, but has a slightly elevated AFP at 19 and trace ascites. Scheduled for CT-guided ablation — should I proceed, and what imaging strategy would be most appropriate?
Reasoned 6s · 24 sources · 5 steps
BOTTOM LINE
Don't proceed on CT alone. Get MRI with DWI ± hepatobiliary phase first to reconcile CT response vs AFP discordance, then MDT before ablation.
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9:41•••
REPORT CRITIQUE
CTPA · query PE
NON-COMPLIANT · 5/10
CRIT 11MAJOR 10MINOR 0
ISSUES TO REVIEW
CRITICAL
Motion artifact limiting subsegmental evaluation — no follow-up strategy noted
CRITICAL
No assessment of contrast opacification quality
CRITICAL
RV/LV ratio assessment absent
CRITICAL
Pleural effusion noted but not characterised
21 issues
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Why MyRadAssistant?
Built around four guarantees that general AI can't make.
01
Traced
Every claim links to source text. No fabricated citations.
02
Checked
Hallucination checks cross-reference each response.
03
Honest
Confidence shown, not hidden. Tier 1–3 on every answer.
04
UK-first
NICE, RCR, NHS pathways prioritised by default.
Three tiers, every answer.
Tier 1
Guidelines · Meta-analyses · RCTs
Highest-quality evidence and direct citation coverage.
Tier 2
Cohort & case-control
Strong observational support, transparent limits.
Tier 3
Case reports · Expert opinion
Clearly labelled, lower confidence.
Built by a radiologist, for radiologists
👤
FOUNDER & ACTING CSO
Dr Yiannis Skarparis
Consultant Interventional Radiologist
1.Founder of The Radiology Academy
2.Curates the evidence pipeline
3.FRCR trained
👤
FRACTIONAL CTO
Mr Rory Oliver
Fractional CTO for HealthTechs
1.AI · Cloud · Cyber · React
2.Behind GPNotebook (75% of UK GPs)
3.Healthcare-grade infra & data security
👤
UI/UX CONSULTANT
Mrs Christine Lancaster
Product Designer
1.Product Designer
2.Incubating Hustle — AI parenting companion supporting PT, OT & Speech Therapy goals at home
3.Personal hustle: Mama to a Rare Syndrome Kid
FAQ: Everything about MyRadAssistant
MyRadAssistant uses retrieval-augmented generation (RAG). Before answering anything, it searches a curated radiology and clinical evidence base for relevant source material, then asks a language model to synthesise an answer using only that retrieved text, with citations linking each claim back to the source. A generic LLM like ChatGPT generates from learned patterns alone, which is why it confidently invents references and conflates similar-sounding studies. RAG anchors every answer to text we actually have. If we don't have it, the system says so rather than guessing.
Stop second-guessing. Get a verified second opinion.