Researcher uses emerging technologies to improve prostate cancer detection
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A researcher at Kennesaw State University is using artificial intelligence and micro-ultrasound imaging to improve prostate cancer detection, reducing unnecessary biopsies and misdiagnoses. The AI-assisted approach has shown promise in early testing, outperforming traditional biomarkers in identifying aggressive cancers.
Prostate cancer detection is being improved by a Kennesaw State University researcher using artificial intelligence and micro-ultrasound imaging. Assistant professor Muhammad Imran is leading a study that combines machine learning models with high-resolution imaging to help doctors identify aggressive cancers in real time. Traditional screening methods often lead to false positive diagnoses and unnecessary biopsies. Imran's AI system analyzes imaging data to distinguish between cancerous and non-cancerous tissue, improving diagnostic precision. The technology has the potential to streamline the diagnostic process, reducing the need for additional tests and lowering overall costs. The research is still in its early stages, with plans to expand the study and validate the approach on a larger scale.
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