About
Prof. Mathias Prokop is an academic researcher specializing in radiology and medical imaging. His work focuses on lung cancer detection, AI applications in diagnostics, and imaging technology advancements. Key research areas include lung nodule analysis, photon-counting CT innovations, and low-dose CT imaging techniques.
He has collaborated on studies evaluating AI performance in detecting lung nodules under varying conditions (e.g., emphysema impact) and contributed to cost-effectiveness analyses of lung cancer screening programs. His work bridges clinical practice with technological innovation in medical imaging.
Recent research highlights include phantom studies on iodine detectability in mediastinal lesions and improving AI model reliability through out-of-distribution detection methods. His publications emphasize both technical advancements and clinical applicability in radiology.
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