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Industry Trends:  AI Revolutionizes Imaging Analysis The radiology industry is embracing artificial intelligence (AI) to enhance image analysis, and it’s having a profound impact on patient care. Despite constant advances in the medical imaging space, almost one in four (23%) patients experience false positives on image readings[i]. This can lead to unnecessary invasive procedures and follow-up scans that add cost and stress for patients. And while false negatives happen less often, the impact can be Read more

The Value of Standardized Quality and Performance Metrics in Clinical Trials It’s not just tumor measurements that matter! Quality and Performance Measurements are critical too. Imaging biomarker metrics are not the only measurements that matter in oncology imaging trials. Quality and performance metrics are just as important and necessary for running a successful clinical trial with image analysis metrics as the endpoints. Biopharma organizations optimize clinical trials by operationalizing both quality and performance metrics.  Read more

Different Types of Imaging Criteria: Morphological Measures In oncology clinical trials, therapy is generally assessed using imaging response criteria involving imaging biomarkers. Imaging response criteria are used to define a “treatment response” status, used by the radiologist to evaluate whether the response to therapy is complete or partial or conversely, if the disease is not responding or even progressing. Imaging biomarkers are characteristics extracted from images under study and may vary with tumor or Read more

Super Resolution Imaging – For Better Medical Image Analysis If you are fan of science fiction films and you are 40+ like me, you will probably remember the classical scene in the movie Blade Runner where Harrison Ford progressively enhances a photo to finally find the face of a young woman reflected in a mirror completely invisible when looking at the whole scene. This is exactly the aim of super resolution (SR) techniques: to Read more

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