- In January 2025, GE HealthCare launched its AI-Powered Imaging Suite, which incorporates deep learning algorithms to enhance imaging accuracy in CT, MRI, and X-ray scans. The suite is designed to reduce diagnostic errors, optimize scan protocols, and shorten patient wait times
- In February 2025, IBM Watson Health (now part of Merative) introduced a new AI-driven platform aimed at improving imaging diagnostics for oncology. This platform leverages deep learning to detect and classify various types of cancer in radiology images, offering a 20% improvement in accuracy compared to previous versions. This system is designed to help radiologists identify early-stage cancers that might otherwise be missed, thereby improving patient outcomes
- In December 2024, Philips Healthcare unveiled a new version of its AI-based Radiology Platform, featuring AI-driven tools that aid in early detection of conditions such as heart disease, stroke, and cancers. The platform is being integrated into hospital systems globally to improve diagnostic speed and accuracy
- In November 2024, Siemens Healthineers introduced an upgraded version of its AI-Rad Companion, which automatically analyzes CT scans, X-rays, and mammograms to detect abnormalities such as lung cancer and fractures. The platform significantly speeds up the workflow for radiologists and improves diagnostic accuracy
- In October 2024, Aidoc announced a partnership with Canon Medical Systems to integrate AI solutions into Canon’s imaging systems. This collaboration aims to enhance stroke and trauma diagnostics by using AI to identify critical conditions such as brain hemorrhages and aneurysms in real-time
