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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Descriptive Study to Evaluate the Effect of Artificial Intelligence in Radiology |
| Authors Name: | siddharth yadav , sabreena afzal , Basit Yousuf Pala , simran kaur , dheeraj kumar |
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IJNRD_199057
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| Published Paper Id: | IJNRD2306305 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | This study conducts a thorough investigation of artificial intelligence (AI) in radiology,taking into account a variety of definitions, historical foundations, and potential applications. It discusses subjects including computer-aided diagnosis, machine learning, natural language processing, image optimisation, as well as the revolutionary impacts of AI on patient care and the radiology sector. The essay highlights the collaborative relationship between radiologists and AI algorithms in order to offer early reports, boost productivity, and support decision-making. In addition to highlighting AI's many benefits, the essay also discusses some of its disadvantages, such as algorithm brittleness, technical challenges, patient trust, and ethical concerns. This study was conducted in academics hospital in Delhi and (Gurugram) Haryana to assess residents, technologists, and trainees working in the radiology departments of various hospitals about their knowledge, awareness, practises, and understanding of artificial intelligence (AI) in radiology. In a survey research approach, a convenience sample of radiology residents, technologists, and trainees from selected hospitals was used. A questionnaire was circulated at random, and the answers were analysed using percentage tables.150 questionnaires were distributed, and 120 responses were received in return. The findings of this study shed important light on the current level of artificial intelligence knowledge and awareness among radiology residents and technologists, highlighting the need for better education and procedures. It should be noted that AI is considered to be a powerful tool with the potential to improve radiologists' skills and patient outcomes, while also underscoring the necessity of responsible adoption and ongoing collaboration between human professions. |
| Keywords: | Artificial intelligence, radiology, machine learning, computer-aided diagnosis, patient care, preliminary reports, efficiency, limitations, collaboration, transformative impact. |
| Cite Article: | "A Descriptive Study to Evaluate the Effect of Artificial Intelligence in Radiology ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.d25-d39, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306305.pdf |
| Downloads: | 000118755 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2306305 Registration ID: 199057 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: d25-d39 Country: mahavir enclave part2, new delhi, India Research Area: Health Science Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306305 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306305 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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