a2z Radiology AI Expands Acute Care Suite with 10 Newly Cleared Findings
a2z Radiology AI Expands Acute Care Suite with 10 Newly Cleared Findings
New FDA clearance brings a2z’s abdomen-pelvis CT triage portfolio to 17 findings across two devices.
BOSTON--(BUSINESS WIRE)--a2z Radiology AI Inc. today announced FDA clearance of a2z-Abdo-Triage for 10 findings on abdomen-pelvis CT. The milestone expands the range of suspected findings its software can flag for clinical review, building on the seven findings previously cleared for a2z-Unified-Triage.
10 newly cleared findings. 17 findings across two FDA-cleared devices. Broader support for care teams starts with broader coverage.
Share
“Care teams need support that reflects the range of cases they see,” said Samir Rajpurkar, co-founder and CEO of a2z Radiology AI. “We’re building a platform around that need. This clearance extends the range of clinically important findings we can flag on CT scans, bringing us closer to our goal of helping teams focus their attention where it is needed.”
The new software analyzes abdominopelvic CT images acquired with or without intravenous contrast in adults aged 22 and older. It flags and communicates suspected positive cases to help radiology teams prioritize studies for review. It works alongside standard image interpretation, with radiologists continuing to review the full scan and make clinical judgments. a2z-Abdo-Triage has also received FDA Breakthrough Device designation.
The ten newly cleared findings are obstructing ureteral stone, hydroureter, retroperitoneal hematoma, large volume ascites, acute appendicitis, intraabdominopelvic abscess, hemoperitoneum or complex free fluid, splenic traumatic injury, hepatic traumatic injury and renal traumatic injury.
The seven previously cleared findings are acute cholecystitis, acute pancreatitis, unruptured abdominal aortic aneurysm, acute diverticulitis, free air, hydronephrosis and small bowel obstruction.
a2z’s goal is to turn broader imaging coverage into more useful support for care teams and, ultimately, timely attention for the patients who need it.
About a2z Radiology AI
a2z Radiology AI builds AI to support care teams in acute care imaging, starting with abdomen-pelvis CT. The name a2z reflects its founding ambition to support comprehensive medical image interpretation, from A to Z.
The company was co-founded by Pranav Rajpurkar, an Associate Professor of Biomedical Informatics at Harvard Medical School, and Samir Rajpurkar, a technology entrepreneur. a2z is backed by Khosla Ventures and SeaX Ventures.
For more information, visit https://a2zradiology.ai/.
Contacts
Media contact
a2z Radiology AI
info@a2zradiology.ai

