Why AWS is Betting on Aidoc’s AI to Help Transform Healthcare

Amazon Web Services (AWS) is investing in Aidoc and its focus on accelerating the adoption of foundation models in healthcare.?

This collaboration to advance and optimize our CARE? Foundation Model strategically aligns with AWS’s vision for AI-driven innovation, leveraging Aidoc’s aiOS? platform and CARE? Foundation Model to enable comprehensive, real-time identification of suspected critical conditions across diverse medical imaging modalities.

In Forbes , Dr. Sai Balasubramanian, M.D., J.D. highlights our work on CARE? and how the collaboration with AWS not only enhances patient care but also simplifies AI adoption for hospitals.

What Are Foundation Models??

Also, there’s been a lot of talk about foundation models lately, but what are they exactly? Unlike traditional AI designed for one task, foundation models learn from vast data to adapt across many. This flexibility unlocks new AI applications. Aidocees Idan Bassuk and Tamar Lin explain what this means for healthcare.

The Rise of the "Preventional Radiologist"?

On an AHRA podcast, Alexander McKinney MD, CI-CIIP , from the University of Miami Miller School of Medicine , introduced the “preventional radiologist”— a role focused on identifying high-risk incidental findings to improve long-term health.

"It has really helped us make a huge difference in delivering patient care."

Mercy is integrating Aidoc to enhance radiology, optimize workflows and improve patient care. A radiologist at Mercy Hospital in Ft. Smith, Arkansas, shared the impact the partnership is already having on patient care in an interview with 5NEWS .

Are Radiology Backlogs Putting Your Health System at Risk?

Delays in imaging interpretation can jeopardize patient care. Ayden Jacob, MD, explores how AI-driven prioritization can help both radiologists and patients.

Riverain Technologies and Aidoc: Faster Reads and Improved Nodule Detection

A 美国华盛顿大学 study found that integrating Riverain Technologies ’s ClearRead? CT with Aidoc’s aiOS? helped reduce reading times and improved nodule detection. Kevin Chorath , MD, highlighted its impact:

“Using real-world radiology workflows, we found that Riverain’s vessel suppression technology significantly reduced reading times for both residents and attending physicians. This efficiency is critical for ensuring timely and high-quality care for patients with elevated malignancy risks.”?