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Application of Artificial Intelligence in Diagnostic Medical Imaging and Radiotherapy

Buhari Samaila, Sabiu Abdullahi, Aminu Muhammad Bande, Rilwanu Mohammed, Danyaro, Buhari Maidamma, Hussaini Ahmed, Alhassan Alhaji Shehu, Mahmud, Farouk Rugga

Abstract

Artificial intelligence (AI) is rapidly transforming healthcare, particularly in diagnostic imaging and radiotherapy. The integration of artificial intelligence (AI) in the field of diagnostic medical imaging and radiotherapy has witnessed significant advancements, revolutionizing the healthcare landscape. This review delves into its diverse applications, exploring its potential to boost accuracy, streamline workflows, and improve patient outcomes. A systematic literature search identified relevant studies on AI's role in these domains. Articles covered topics like image analysis, pattern recognition, decision support, and treatment planning. AI algorithms, performance, and integration into clinical practice were critically evaluated. In diagnostic imaging, AI shines in modalities like MRI, CT, and PET. AI algorithms excel in image interpretation, aiding early detection, characterization, and staging of various diseases. Additionally, these tools show promise in predicting treatment response and personalizing treatment plans. Within radiotherapy, AI automates and improves treatment steps. Machine learning algorithms efficiently contour target volumes and organs at risk, facilitating optimal treatment planning. Real-time image guidance and AI-driven adaptive radiotherapy techniques enhance precision and safety during treatment delivery. Moreover, AI-based predictive models assist in assessing outcomes and optimizing therapeutic strategies, ultimately improving patient care. Despite the advancements, challenges like data privacy, standardization, and ethical considerations persist. This review paints a comprehensive picture of AI's current applications in diagnostic imaging and radiotherapy, highlighting its transformative impact on disease diagnosis and treatment planning. As AI evolves, its integration into clinical practice holds immense potential to revolutionize patient care, ushering in a new era of precision medicine.

Keywords

Artificial intelligencemedical ImagingRadiation therapy and treatment plan

References

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