Exploring Harrison.ai's Impact in the Medical AI Landscape

Published On Wed Sep 11 2024
Exploring Harrison.ai's Impact in the Medical AI Landscape

Harrison.ai on LinkedIn: #openai #gemini

Harrison.ai has been featured in Forbes Australia, highlighting its performance against other large language models (LLMs) like #OpenAI and #Gemini. While this is an exciting development for Harrison.ai and the medical AI landscape more broadly, co-Founder and CEO, Dr Aengus Tran assures Harrison.ai will help accelerate research into validation methods and the responsible integration of this technology into clinical practice.

“The launch of this model and our plan to engage in further open and competitive evaluation by professionals underscores our commitment to responsible AI development,” Tran says.

Read the full article here.

Andrew Makmur's Insights

Watch Dr Andrew Makmur, Group Chief Technology Officer and Consultant Radiologist at National University Health System (Singapore), interact with Harrison.rad.1. Harrison.rad.1 is the only multimodal foundational model in imaging trained on a high-quality dataset of millions of images, radiology studies, and reports, making it the most capable multimodal model in radiology today.

Learn more about the broad capabilities of Harrison.rad.1 and its potential to help deliver better patient care here.

Gautam Agrawal's Review

We shared our foundational model Harrison.rad.1 with Gautam Agrawal, MD, co-founder and CIO of Vision Radiology, to hear what he thought of its power and potential. Listen to his initial reaction and insights below. Learn more about how Harrison.rad.1 can help close the global radiology gap and help deliver better care for patients here.

Our Visionaries - Meet the Team – Vision Radiology

Neeraj Mahboobani's Perspective

Hear from Dr Neeraj Mahboobani, Interventional Radiologist Hong Kong SAR as he discusses the demand/supply gap in radiology, and the potential applications for a radiology-specific foundation model to support the clinical workflow. We’re making Harrison.rad.1 accessible to select healthcare professionals and regulators around the world to spark collective conversations about the way forward for AI in healthcare, with the aim to use this technology to shape the future of healthcare safely, ethically, and responsibly.

Learn more about the potential of Harrison.rad.1 here.

Rick Abramson's Comparison

What distinguishes Harrison.rad.1 from commercially available radiology AI tools? When we asked Rick Abramson, MD, MHCDS, FACR, U.S. Board-Certified Radiologist this, he responded: “What I was really looking for in this test drive of Harrison.rad.1 was evidence that the model is going beyond current clinical decision-support AI tools that just associate an image finding with a diagnosis. I was looking to see if there is more in-depth logic that the model is following and I was very pleased to see that I saw evidence of that multi-step inferential thinking.”

harrison.rad.1 – harrison

Discover the differences between Harrison.rad.1’s and other radiology AI tools in the market here.

Discover more here.