Journal of Precision Biosciences
Biopharmaceuticals and medical sciences | Online ISSN 3064-9226
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Contents Vol 2 (1)

Advancements in Imaging Technologies for Precise Disease Diagnosis

Md Mazedul Haq 1*, Md Mostafizur Rahman 2

+ Author Affiliations

Journal of Precision Biosciences 2 (1) 1-11 https://doi.org/10.25163/biosciences.212021

Submitted: 18 November 2019 Revised: 09 January 2020  Published: 10 January 2020 

Abstract

Background: Recent advancements in medical imaging technologies, such as computed tomography (CT), magnetic resonance imaging (MRI), X-ray imaging, and emerging modalities like positron emission tomography (PET), ultrasound, and optical imaging, have revolutionized clinical practice. Additionally, the integration of artificial intelligence (AI) has opened new possibilities for enhancing diagnostic accuracy and enabling personalized treatment plans. Methods: This study reviewed recent literature and technological developments in medical imaging, focusing on the evolution of various imaging modalities. It examined the impact of these advancements on clinical practice and patient outcomes, particularly in the context of early disease detection, diagnosis, and monitoring. The study also explored the role of AI in medical imaging, assessing its potential to enhance image interpretation, reduce diagnostic errors, and improve the efficiency of treatment planning. Results: The analysis revealed that advancements in medical imaging technologies have significantly improved diagnostic accuracy and patient care across multiple medical fields. For example, MRI's ability to visualize soft tissues without ionizing radiation has proven invaluable in diagnosing neurological and cardiovascular conditions, while PET and ultrasound offer complementary capabilities for detecting metabolic activity and guiding minimally invasive procedures. The integration of AI has further enhanced these modalities, improving the precision of diagnostic assessments, minimizing human errors, and enabling tailored treatment strategies. However, challenges such as high costs, technical limitations, and ethical considerations regarding AI implementation were identified as areas requiring further research and standardization. Conclusion: The continuous evolution of medical imaging technologies, coupled with AI integration, has greatly transformed diagnostic and therapeutic approaches in healthcare. These advancements have led to more accurate diagnoses, personalized treatment strategies, and improved patient outcomes.

Keywords: Medical Imaging, Diagnostic Accuracy, Artificial Intelligence, Personalized Treatment, Imaging Modalities

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