Outside Rebound | Hold the TKA X-Ray
“None of us know what’s going on with our bones until they start to break.” A British osteoporosis sufferer on the UK’s lacking incidental OP follow-up…
AI Needs Assessment | Space Ultrasound | SIIM 2021
“Our industry is littered with the bones of standards that got developed too early.” Blackford Analysis CEO, Ben Panter, proposing a retrospective approach to creating AI…
Virtual Inaction | Broken Hearts Explained | IBM Lessons
“A monumental task, but we were not afraid.” Vysioneer CEO Jen-Tang Lu on the company’s development of a tumor-focused auto-segmentation tool, rather than focusing on normal…
AI-Guided Milestone | Watson Options | The Unmatched
“Fear of AI is a decadent, first-world problem.” UPenn Prof. Saurabh Jha during his keynote speech at the recently-posted Michigan AI 2020 Symposium. Imaging Wire Sponsors…
RSNA 2019
“The answer is within you.” Konica Minolta Healthcare president, Kiyotaka Fujii, discussing the promise of precision medicine at RSNA 2019. Happy to announce this year’s Imaging…
Screening at 30 | Past Imaging History | X-Ray Influencer
“That is a pretty gnarly chest X-ray and I would not want to have that disease.” Minnesota medical resident and social influencer, Dr. Rose Marie Leslie,…
8 Stages to EI | SurgicalAR | Hospital Price Growth
“Well, first of all I had no idea who he is. I’ve never watched that show. But secondly, it was like, ‘This is really weird!’ Thirdly,…
X-Ray Breakthrough | In-House MRIs Questioned | New Hitachi ARIETTA Coming
“This internal visualization can now be achieved without the surgeon ever making an incision, improving outcomes in a world of more precise medicine.” Novarad CEO, Dr.…
Tech Giants Pledge | Molecular Neuroimaging | IBM Speaks Up
“As patient expectations for seamless experiences have increased, so has our commitment to eliminating the technological barriers that make it challenging for providers to deliver connected…
IBM & Guerbet Partner | AI for AI | Healcerion’s US
“In a sense, we are using machine learning to do machine learning.” University of Toronto professor, Shahrokh Valaee, on a new approach his team developed that…