Radiology software solutions with AI features are rapidly entering clinical use, growing more complex with each new iteration. For many, this complexity is a recipe for disaster, unless specialized experts oversee the process to prevent unintelligible and misguided software decisions. However, these algorithms offer numerous benefits, with recent examples including pediatic imaging and therapy planning for breast cancer patients. In this issue, we also look into new applications for breath analysis, patient-reported symptom matching, and more. Enjoy reading!
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