RadX AI · Reading room
CT · 634 img · W 400 / L 40

Radiology,
end to end.

Registration at the front desk, scans pushed straight from the machine, an AI second reader beside the radiologist, and the report signed on the platform — with a link of the study you can send to the referring doctor and the patient.

DICOM push from any scanner MWL worklist on the console MPR · crosshair · MIP · fusion AI second reader e-sign + study share links
Sequence · Reception → Report

One patient, one line,
no retyping.

Every role in the centre works on the same record — the booking made at the desk is the study the machine scans, the case the radiologist reads, and the report the referrer receives.

Reception

Register the patient

Name, procedure, referring doctor, slot — the booking appears on every worklist and is published as a DICOM Modality Worklist, so it's on the scanner before the patient is.

CT / MRI console

The machine pulls the booking

The technologist selects the patient on the console itself. Name, ID and accession come from RadX — nothing is typed at the machine, nothing can mismatch.

Scanner → RadX

Images arrive on their own

The study is pushed over the DICOM network as soon as it's acquired and matched to the booking by accession number. Drag-and-drop and ZIP import stay available for outside films.

Technician · Radiologist

Assign and read

Cases go to a radiologist, who reads in RadX's browser viewer — multi-pane layouts, MPR, MIP/MinIP, fusion, crosshair localisation, measurements, and keyboard shortcuts they can remap.

AI second reader

AI reviews alongside

Candidate findings with confidence scores appear beside the images. The radiologist accepts or rejects each one; accepted findings compose into a draft in their own reporting style.

Radiologist

Sign with a digital signature

Structured report, templates, autosave, dictation. Sign-off stamps the radiologist's signature with date and time; a 7-day window allows corrections, then the report locks.

Everyone

Deliver in one click

The signed report lives on the platform — send a secure link to the study and report to the referring doctor or the patient, print on the centre's letterhead, or export to Word.

The worklist the whole centre runs on

Scheduled → Signed off
RadX AI worklist with live study statuses

Live status for every study, per-radiologist assignment, filters by patient, accession, modality and date — with scans arriving from the machine, a folder, or a ZIP.

A viewer that keeps up with your PACS

MPR · crosshair · fusion
RadX AI viewer with colorized fusion overlay

Axial, coronal and sagittal reformats built in the browser; click a point and the crosshair localises the same anatomy in every plane. Slab MIP/MinIP, PET/CT-style fusion, and any slice captured straight into the report.

Reports that write themselves — almost

Draft → sign → share
RadX AI structured reporting page with AI draft rail

Accepted findings become a draft in your own words. Your templates, Radiopaedia and PubMed search beside the draft, Word export, print, and secure share links.

Impression · How the AI helps

An assistant,
not an autopilot.

RadX is built around one rule: the radiologist decides. The AI does the legwork — the signature at the bottom is always human.

Detection

A second reader on every study

The AI reviews the images across series and planes and proposes candidate findings with its reasoning — a safety net against the miss at the end of a long shift.

Judgement

Accept or reject, case by case

Each finding is a card with a confidence score. Nothing enters the report without the radiologist's explicit approval.

Drafting

Reports in your own words

Accepted findings compose into a full draft that follows the radiologist's phrasing and structure, learned from their signed reports.

Learning

Sharper with every case

Corrections and final reports quietly teach the AI the centre's standards — it becomes more useful the more you report.

Clinical safety: RadX AI is a decision-support assistant, not a certified diagnostic device. Every AI finding requires radiologist confirmation, and all reports are issued under the responsibility of the reporting radiologist.
Reported & electronically signed
by the radiologist — always
Personnel · Founders & Directors

Built in the reading room.

RadX AI is made by practising radiologists and healthcare entrepreneurs — people who live the workflow this platform runs.

Dr. Urva Patel, MD — Co-Founder, Consultant Radiologist

Dr. Urva Patel, MD

Co-Founder · Consultant Radiologist

Over 10 years of reporting experience, specialising in whole-body and musculoskeletal (MSK) imaging.

Mr. Rushil Barot — Co-Founder

Mr. Rushil Barot

Co-Founder

Pharmaceutical entrepreneur with two start-ups under his belt, and CEO of SBF Pharma Pvt. Ltd.

Dr. Urvashi Gohil, MD — Co-Founder, Consultant Radiologist

Dr. Urvashi Gohil, MD

Co-Founder · Consultant Radiologist

10 years of reporting experience, with special interest in oncologic and breast imaging.

Localise us · Contact

Running a centre?
Let's put it on one screen.

Diagnostic centres, hospital radiology departments and teleradiology desks — we'll set up a pilot on your own cases.

contact@radxai.in Opens an enquiry form · replies within one working day