- “It completely changes the way we think about MRI imaging.” Take a look at this video interview with Mass General’s Chief of Neurocritical Care to see how clinicians can use Hyperfine’s Swoop Portable MRI to eliminate care disruptions in the ICU by keeping critically ill patients in the unit throughout the neuroimaging process.
- Check out this talk from Eliot Siegel, MD on the “Hype, Myth, Reality and Next Steps” of imaging AI, including a profile on Canon’s AiCE Deep Learning Reconstruction solution at around the 4-minute mark.
- Curious how certain your AI is about its own finding? annalise.ai’s confidence bar displays the likelihood of each finding and the AI model’s level of certainty, helping clinicians perform their interpretations with greater confidence.
- New healthcare technologies have traditionally been hard to implement, and that’s certainly been true for imaging AI, but some of AI’s challenges might have been avoided with the right standards and guidelines. Check out this Enlitic report outlining its 5-stage approach to less-challenging AI adoption.
- Heart disease remains the leading cause of death worldwide, but this editorial by Intelerad’s Morris Panner reveals that medical imaging breakthroughs are making this prognosis more promising. See how advances in cardiac imaging are paving the way for earlier detection, more precise assessments, and more effective interventions.
- See how adopting ClearRead CT allowed Michigan’s Regional Medical Imaging’s radiologists to complete their chest CT reads faster and more accurately in this Riverain Technologies case study.
- Bayer’s cloud-based Calantic Digital Solutions AI platform features a suite of disease-specific AI apps that integrate into radiologist workflows, helping radiology teams scale AI deployment and improve efficiency and quality of care.
- What if your X-ray system could help you do more by doing less? See how GE’s AI-based X-ray workflow automations can reduce your repeat and rejected exams, while improving image quality, consistency, and productivity.
- See how Thomas Jefferson University relied on CARPL.ai to accelerate its AI validation and clinical adoption in this presentation by informatics and AI leader, Dr. Paras Lakhani.
- Imaging’s cloud evolution didn’t happen all at once. This Change Healthcare animation details the history of digital imaging architectures, and how cloud-native imaging improves stability and scalability, ease of management, patient data security, and operating costs.
- We hear a lot about AI being the next big thing or being immature and overhyped. This set of Blackford Analysis editorials reviews the challenges that are still holding back imaging AI, and the areas that AI is delivering genuine clinical benefits.
- Ready to make MRI more accessible to your patients? See how Siemens Healthineers’ MAGNETOM Free.Max expands MR imaging to more patients, sites, and providers.
