Clinical AI company Aidoc has raised $150 million in Series E funding, marking a major step in scaling its AI-driven imaging platform and expanding its role across hospital clinical workflows. The funding round was led by Goldman Sachs Alternatives, with participation from General Catalyst, SoftBank Investment Advisors, and NVentures (NVIDIA’s venture arm).
The investment brings Aidoc’s total funding to over $500 million, reflecting growing confidence in AI-powered healthcare solutions and the increasing demand for enterprise wide clinical AI platforms.
Aidoc specializes in AI tools that analyze medical imaging such as CT scans and X-rays, helping clinicians detect critical conditions faster and prioritize urgent cases. Its solutions are already used across radiology, cardiology, and neurovascular care, enabling faster diagnosis and improved coordination among care teams.
A key focus of the new funding is to expand Aidoc’s CARE™ clinical foundation model and its enterprise platform aiOS™, which integrates AI directly into hospital workflows. Unlike traditional single-use AI tools, Aidoc’s platform aims to provide a unified system that supports multiple conditions and imaging modalities, helping healthcare providers move toward End To End AI-Driven Decision Making.
The company also plans to introduce advanced capabilities such as automated draft imaging reports and broader disease coverage, allowing AI to assist clinicians from initial scan analysis to final diagnosis.
This development comes at a time when healthcare systems worldwide are facing rising imaging volumes, workforce shortages, and increasing diagnostic complexity. Studies indicate that diagnostic errors contribute to hundreds of thousands of deaths annually, highlighting the urgent need for AI-driven support systems.
With its platform already analyzing millions of patient cases annually and deployed across thousands of hospitals, Aidoc is positioning itself at the forefront of a shift toward integrated, scalable AI in healthcare where technology becomes a core layer of clinical decision making rather than a standalone tool.
“Every complex diagnostic decision should be supported by AI… enabling earlier detection and reducing preventable errors.”
By
HB Team
