When it comes to using AI to assist in disease diagnosis, sharpen noisy scans or reconstruct entire images from limited data, clinicians must be confident that the technology they rely on is ...

Artificial intelligence is rapidly integrating into medical imaging, from lung and breast cancer diagnostics to interventional radiology, promising faster, more accurate results.

AI is rapidly advancing in medical imaging, from echocardiography and breast ultrasound to multi-cancer detection, offering faster workflows and new diagnostic capabilities.

The passage of innovation for artificial intelligence’s (AI) application in medical imaging has “no endpoint”, a CEO has said.

Recent advances in medical imaging and AI are redefining diagnostics, from FDA-cleared 3D visualization tools to AI models detecting cancers years earlier than doctors.

This painstaking work was done manually for decades, until along came AI. Deep learning algorithms such as U-Nets in recent years have changed the process of clinicians marking up and...

This story was originally published on Medical Xpress. Rice University researchers developed an AI tool that makes a medical imaging process 90% more efficient. Credit: Jeff Fitlow/Rice...

May 5, 2026 · These developments highlight AI’s expanding role in diagnostics while underscoring the enduring value of human expertise.

The research team led by Prof. Li Xiaomeng has developed a novel AI-powered algorithm to generate high-quality 3D images of bones and anatomy in under a minute, using as few as 2–4 X-ray...

Future developments may combine AI, robotics, and novel imaging agents to deliver faster, more accurate diagnoses across diseases, supported by clinical trials and regulatory review.

Recent advances in AI are revolutionizing medical imaging, from halving MRI scan times to reducing radiation doses in CT, while also integrating multi-modal diagnostics for greater accuracy.

Advanced AI algorithms can analyze medical images in seconds, detect subtle abnormalities, and sometimes even outperform human radiologists on benchmark datasets.

AI adoption in radiology has been expanding, with hundreds of FDA-cleared tools and rising clinical use, but integration has been uneven and often lacks standardized oversight.

AI is transforming medical imaging with faster, more accurate diagnostics, but regulators warn that patient benefits remain unproven and security challenges persist.

Biomedical visualization specialists haven't come to terms with how or whether to use generative AI tools when creating images for health and science applications.

Perimeter Medical Imaging AI, Inc. is a medical technology company based in Toronto, Canada, and Dallas, Texas. It focuses on transforming cancer surgery through ultra-high-resolution,...

Harrison.ai today announced the Harrison.ai Open Platform, a new paradigm that eliminates platform fees and enables single-integration access to multiple AI vendors.

In short, the AI doesn’t just produce realistic images—it produces images that specifically improve its ability to segment medical scans. That distinction makes a dramatic difference in...

Recent studies highlight a critical gap in evidence showing that AI tools in healthcare improve patient outcomes, despite their growing accuracy and use.

Perimeter Medical Imaging AI, Inc. is a medical technology company based in Toronto, Canada, and Dallas, Texas. It specializes in developing ultra-high-resolution, real-time imaging tools...