Radiology
Our proprietary machine-learning algorithms actively analyse radiology studies and return a structured second read. They are built to help radiologists review with more context while the clinician retains the final call and signature.
DR. MEHTA · WRITING
Proprietary analysis appears beside the study. The radiologist reviews it, writes the final findings, and signs the report.
PROPRIETARY ML · ACTIVEUP TO 87% · INTERNAL EVALRadiology intelligence
This capability was developed by the NexaMed team with collaborators from BITS Pilani, combining clinical-workflow design with focused machine-learning development.
The radiology capability uses NexaMed's own machine-learning algorithms. We discuss what it does and how it is evaluated without exposing the underlying model or implementation.
NexaMed proprietary radiology intelligence
The algorithms have reached scores of up to 87% on internal evaluation benchmarks. We present that result with its scope instead of turning it into an unsupported diagnostic-accuracy claim.
Up to 87% on internal benchmarks
NexaMed developed the capability alongside collaborators from BITS Pilani, bringing research discipline into a workflow designed for real radiology teams.
NexaMed × BITS Pilani collaborators
The 87% figure is an internal evaluation result, not a claim of standalone diagnostic accuracy or independent clinical validation. In a review, we can walk your radiology and compliance teams through the benchmark scope, the active workflow, and the clinician sign-off boundary without disclosing the underlying model.
Order → review → signature
Not the reading. The clerical drag around it: hunting for the order, chasing which study belongs to whom, and finding out someone else already edited the report.
The doctor's order already exists as a tracked state. Staff upload the study against it, so order, capture, and images stay attached to the same visit without anyone reconciling a register at closing time.
Opening a study for review locks it. Two radiologists can't quietly overwrite each other's findings, and nobody discovers the collision after the report has gone out.
The radiologist writes the findings and the impression, then signs. The signature is the release gate — there is no path around it, including for us.
Before · after
Finding the order
The study is here, the order is in a register, and the clinical context is in someone's memory
Order, images, and context are the same record — already open when the study is
Collisions
Two radiologists open the same report and one of them silently loses their edits
Review locks to one radiologist — the second person is told, not overwritten
Visibility
The report sits done in radiology while the ward, billing, and the patient all wait to be told
Order-to-release state is visible to the doctor, the desk, and her app as it moves
Release
A signed report becomes a PDF, a phone call, and a trip back to the counter
The signature releases it to her phone, and the trail records who released what, when
Built to survive an audit
Radiology decision support works only when radiologists and auditors can see how it is used, reviewed, and released. NexaMed keeps that boundary visible throughout the workflow.
One radiologist holds a study at a time. Concurrent edits aren't resolved cleverly; they're prevented.
Single-owner review session
Every read, edit, download, and export appends an event with the actor, the patient, the purpose, and the outcome. The application cannot rewrite it.
Append-only event history
A radiologist resolves data only inside a facility they hold an active membership in. That rule follows every record, wherever it is opened.
Active facility membership required
Investigation images reach a patient only after a final report has been explicitly released to her. Nothing leaks out ahead of the signature.
Signed-report release boundary
Next step
De-identified, your modality, your radiologist in the room — from proprietary analysis and structured second read to the clinician's final signed report.