Dr. Wendaline VanBuren, a radiology chair at Mayo Clinic, thinks that AI is in the beginning stages of improving radiologists’ workflows. Some of the most developed radiology AI research projects at Mayo center on image segmentation and 3D printing, she said. In the future, she’s excited to see more tools that aid radiologists in triage and lesion measurement.
The AI tools that radiologists need the most are ones that integrate their workflows and make it easier to access past images, said Dr. Jocelyn Chertoff, radiology chair at Dartmouth Health. When adopting AI to address their workforce shortage, hospitals need to involve clinicians early-on in decisions about what new tools to implement, she also noted.
It’s easy to get caught up in the excitement surrounding innovations in the medical field, Amazon Pharmacy Chief Medical Officer Dr. Vin Gupta noted. But when talking about these innovations, healthcare leaders often fail to address questions about whether they will be covered by insurance and whether all patients will be able to benefit from them, he pointed out.
At RSNA 2023, Nvidia launched new set of cloud-based APIs designed to speed up the creation and deployment of specialized AI models in the medical imaging field. The new offering is a cloud-native extension to Nvidia's Monai framework, which is its open-source framework for medical imaging AI.
At RSNA 2023, GE HealthCare announced the launch of a new AI suite designed to simplify radiologists’ workflows when reading mammograms and help them detect breast cancer in patients sooner. The new offering includes three AI tools made by iCAD.