Advances in Medical Imaging for Early Diagnosis and Disease Management
Abstract
Medical imaging has become part of the modern health sector, which has facilitated early diseases, proper diagnosis and management. This study examines how various imaging technologies such as X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound and nuclear medicine can be used to detect diseases at the earliest stage. It outlines the benefit and drawbacks of each method as well as some of the ways each method can be utilized and their effectiveness in the early detection of cancer, heart diseases, neuro-degenerative disorders, lung diseases and child malformations. Other important considerations encompassed in the study include radiation safety, ethical and economic reasons, and incorporation of artificial intelligence (AI) to improve the precision of the diagnostic. The recent technologies, combined with the hybrid imaging systems and the AI-based tools have increased the area of early disease detection and enabled personalized, efficient, and cost-effective healthcare. The study emphasizes that the three elements, technological innovation, clinical know-how and ethical practice are critical to optimizing on the benefits of medical imaging. In general, the study gives a full picture of the existing practices, challenges, and perspectives of early disease detection, as it is very vital in enhancing patient outcomes and healthcare service delivery.
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References
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Authors
Copyright (c) 2024 Abrar Juhayyim Alamer Alruwaili, Asma abduulllah A albalawi, Shafa Atiah Afnan Alhawiti, Rawan Abdulrahman Hamoud Alhawiti, Sahar lafi Naitwal Alanazi, Soaad Saho Radi ALshammari , Yassmine Ibrahim Aldhuwalia , HANI AWADH NAIF ALOTAIBI, Hamad saleh Alzaid
This work is licensed under a Creative Commons Attribution 4.0 International License.