Boston-based a2z Radiology raised $4.5M and earned FDA clearance for its Unified Triage AI solution for abdominal and pelvic CT scans.
Key Details
- 1a2z Radiology, founded in 2024, is developing AI tools for medical imaging interpretation.
- 2The company secured $4.5 million in seed funding from investors including SeaX and Khosla Ventures.
- 3Its Unified Triage system received FDA clearance and is designed as a multi-condition tool for abdomen-pelvis CT analysis.
- 4a2z claims its product is the first of its kind, focusing on broad multi-condition triage instead of single findings.
- 5The funds will be used to commercially deploy Unified Triage and develop further imaging AI products.
- 6Harvard biomedical informatics professor Pranav Rajpurkar co-founded the startup.
Why It Matters
Multi-condition AI tools could streamline radiology workflows, helping to detect a broader range of pathologies in a single scan and supporting radiologist efficiency. Regulatory milestones and investment indicate escalating momentum for generalist AI in medical imaging.
Source
Radiology Business
Related News
•Radiology Business
Workflow Efficiency Tops AI ROI in Radiology Practices
Survey finds that AI's main ROI for radiology practices is improved workflow efficiency rather than direct financial gains.
•AuntMinnie
AI Ultrasound Tool May Cut Unnecessary Breast Biopsies by 60%
An FDA-cleared AI tool for breast ultrasound may reduce unnecessary biopsies of benign breast lesions by about 60%.
•AuntMinnie
Toronto Study: LLMs Must Cite Sources for Radiology Decision Support
University of Toronto researchers found that large language models (LLMs) such as DeepSeek V3 and GPT-4o offer promising support for radiology decision-making in pancreatic cancer when their recommendations cite guideline sources.