The AI approach may prove more effective than PET/CT, which can only diagnose N2 disease with 70-85% sensitivity, researchers reported Tuesday in Radiology.
Providers have previously deployed such analytics tools in public health programs, but their use has been scarce in imaging, Johns Hopkins experts wrote in JACR.
Researchers recently polled hundreds of past and present oncology patients about their scheduling preferences, sharing their results Oct. 23 in Radiography.