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MEDCASE AT RSNA 2026



 

The clinical expertise layer for
medical imaging AI

 



 


Radiologists and sub-specialists matched to the exact read your data requires — 
for annotation, reader studies, and clinical validation.




Let's have a chat at RSNA!

Meet Fayruz Kibria

Director of AI for Enterprises  




Fayruz came up through medical imaging research, then clinical applications at Profound Medical and Focal Healthcare, and has led Medcase’s North American operations and global programs since 2021. She now runs our enterprise AI work.

She knows both halves of the problem: the science behind the model, and what it takes to get clinicians to use it. Ground truth, reader studies, validation programs — she’s the one to talk to.
   



Fayruz Kibria

Dates

Nov 29 – Dec 3, 2026

Venue

McCormick Place, Chicago

20K+

Healthcare professionals
in network

140+

Countries
represented

100+

Specialties
200+ sub-specialties

55+

Languages
supported

WHAT WE DELIVER FOR IMAGING AI

Ground truth, read by the right specialist.

Annotation and segmentation

 
Modality, volume, turnaround, regulatory target - we’ll tell you exactly
how we can help.

Reader studies

 
h
From 20,000+ licensed clinicians in the network — by specialty, sub-specialty, geography, language and active caseload.

Clinical validation

 
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Credentialing, onboarding, training, scheduling and payments — inside your annotation platform or ours. No re-tooling
on your side.

Not "radiologists" - the exact radiologist.

Your brief defines the reader.
We match on subspecialty, case volume, licensure, and modality — not availability.

EXAMPLE MATCH

The brief · Thoracic CT

"PE detection model, US CT data. We need readers who see pulmonary embolism weekly, not occasionally."

The match

Thoracic fellowship-trained radiologist, US board-certified, reading 50+ CTPA studies a week with an active hospital caseload.

EXAMPLE MATCH

The brief · Breast ultrasound

"Ground truth for an FDA 510(k). Every study read twice, independently, then adjudicated."

The match

ABR-certified, MQSA-qualified breast radiologists reading 1,000+ screening studies a year, with a 10+ year
senior adjudicator.

EXAMPLE MATCH

The brief · Neuro CTA Ops

"LVO detection on CTA head. We need readers making stroke calls on call — not once a quarter."

The match

Neuroradiology fellowship-trained, US board-certified, reading stroke-protocol CTA on an active call rotation.

"Our experience working
 with Medcase is 100% positive"

Siemens Healthineers

EXPLORE OUR DELIVERED PROJECT PORTFOLIO

Case studies

MEDICAL DATA ANNOTATION & LABELING

A breast imaging AI developer

Breast ultrasound ground truth for an FDA 510(k) submission.

1,195 Studies annotated | 2,390 Independent reads | 100% Adjudicated | 0 QA returns


Read the case study →

MEDICAL DATA ANNOTATION & LABELING

A global medical imaging company

Coronary plaque ground truth behind an FDA clearance.


300 Vessels annotated | 600 Independent reads | 286 Adjudicated vessel series |  2× Faster per task


Read the case study →


MEDICAL DATA ANNOTATION & LABELING

A global medical imaging company

900 heat CT studies labelled, every batch ahead of deadline.


900 Studies labelled | 8 days early on the critical batch | 4 Neuroradiologists |
0 Rework requests


Read the case study →


CLINICAL PRODUCT VALIDATION & TESTING

A global technology company

Clinician AI evaluation,
with QA built into the workflow.

300 of 300 evaluations completed | 9.3 min average handling time | 7% Under time budget | 0 Blocking quality issues
at delivery



Read the case study →


                                                     Read more case studies 


Trusted by teams building the future of clinical AI

Nanox
Elsevier
Freed
Google
Aidoc
Bunkerhill
Verily
Siemens Healthineers
Dürr Dental
Barreleye

Ready to scope a project?


“Send us 10 radiologists” is not a brief.
We’ll tell you exactly who should build it.



Get a Quote