Evaluation of AI-Empowerment in Medical Radiology Imaging and Healthcare Sector and its Awareness

The radiology department is said to be the backbone of a hospital, and machines are the roots of the radiology department. Not only in radiology department but the complete hospital is directly or indirectly relay on machinery. Hence machines and its role in health care is dynamic. in modern health care system, artificial intelligence has potential in improving diagnostic accuracy, better workflow efficiency, resulting in improved patient care. the advanced algorithms and machine learning models are continuously increasingly being into imaging modalities to facilitate in the classification, and detection of pathologies, improving the diagnostics radiology and healthcare sector by its evaluation. In recent years, artificial intelligence has integrated as a revolution in the healthcare sector, revolutionizing everything from diagnostics and treatment planning to patient monitoring and administrative tasks. As these technologies become more emerging into medical practice, raising awareness about their capabilities, limitations, and ethical implications is essential.

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.37648/medinity2025.004
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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Evaluation of AI-Empowerment in Medical Radiology Imaging and Healthcare Sector and its Awareness

Artificial Intelligence in Healthcare and Education
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Evaluation of AI-Empowerment in Medical Radiology Imaging and Healthcare Sector and its Awareness

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Abstract

The radiology department is said to be the backbone of a hospital, and machines are the roots of the radiology department. Not only in radiology department but the complete hospital is directly or indirectly relay on machinery. Hence machines and its role in health care is dynamic. in modern health care system, artificial intelligence has potential in improving diagnostic accuracy, better workflow efficiency, resulting in improved patient care. the advanced algorithms and machine learning models are continuously increasingly being into imaging modalities to facilitate in the classification, and detection of pathologies, improving the diagnostics radiology and healthcare sector by its evaluation. In recent years, artificial intelligence has integrated as a revolution in the healthcare sector, revolutionizing everything from diagnostics and treatment planning to patient monitoring and administrative tasks. As these technologies become more emerging into medical practice, raising awareness about their capabilities, limitations, and ethical implications is essential.

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Artificial Intelligence in Healthcare and Education
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Evaluation of AI-Empowerment in Medical Radiology Imaging and Healthcare Sector and its Awareness · (2025) | TGRS Research Map | TGRS