MODERN MEDICAL IMAGING: REVOLUTIONIZING DIAGNOSIS AND TREATMENT

Modern medical imaging has revolutionized healthcare, providing physicians with unprecedented capabilities to diagnose and treat diseases. These technologies provide insight into the human body, enabling accurate diagnostics, customized treatment plans, and minimally invasive procedures. This article reviews the most common modern medical imaging techniques, exploring their principles, applications, advantages, and limitations. We discuss the evolution of traditional imaging techniques such as X-ray and ultrasound, as well as the advent of advanced technologies including CT, MRI, and PET. We also cover molecular imaging and imaging-assisted surgery, highlighting their significant impact on various areas of medicine, including oncology, cardiology, neurology, and orthopedics. Finally, we consider the challenges and prospects for the future of medical imaging, focusing on the development of artificial intelligence, big data analytics, and personalized medicine.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.13863370
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

MODERN MEDICAL IMAGING: REVOLUTIONIZING DIAGNOSIS AND TREATMENT

Zenodo (CERN European Organization for Nuclear Research)
Radiomics and Machine Learning in Medical Imaging
article

MODERN MEDICAL IMAGING: REVOLUTIONIZING DIAGNOSIS AND TREATMENT

article en

Abstract

Modern medical imaging has revolutionized healthcare, providing physicians with unprecedented capabilities to diagnose and treat diseases. These technologies provide insight into the human body, enabling accurate diagnostics, customized treatment plans, and minimally invasive procedures. This article reviews the most common modern medical imaging techniques, exploring their principles, applications, advantages, and limitations. We discuss the evolution of traditional imaging techniques such as X-ray and ultrasound, as well as the advent of advanced technologies including CT, MRI, and PET. We also cover molecular imaging and imaging-assisted surgery, highlighting their significant impact on various areas of medicine, including oncology, cardiology, neurology, and orthopedics. Finally, we consider the challenges and prospects for the future of medical imaging, focusing on the development of artificial intelligence, big data analytics, and personalized medicine.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
Radiomics and Machine Learning in Medical Imaging
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