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ai in nuclear medical applications: challenges and opportunities
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نویسنده
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izadpanah.k mahdie ,jalili ahmad ,ghaderzadeh mustafa ,gheisari mehdi
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منبع
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frontiers in biomedical technologies - 2024 - دوره : 11 - شماره : 2 - صفحه:158 -161
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چکیده
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Over the last decade, there has been a notable and rapid advancement in artificial intelligence (ai), reflecting substantial progress in sophistication and problem-solving capabilities. this evolution has extended across various sectors, encompassing manufacturing, transportation, finance, education, and healthcare. particularly noteworthy is ai's potential to drive progress in nuclear applications, science, and technology, raising ethical and legal considerations.this academic paper, titled ai in nuclear medical applications: challenges and opportunities, undertakes a thorough exploration of the intricate relationship between ai and nuclear technology. moving beyond a simple acknowledgment of ai's current capabilities, the paper delves into the nuanced landscape of challenges and opportunities within the realm of nuclear medical applications. it meticulously examines the ethical and legal dimensions inherent in this symbiotic relationship, emphasizing responsible and accountable utilization of ai in the nuclear domain.the research focal point is the strategic deployment of ai capabilities in nuclear medicine, highlighting potential positive contributions to address contemporary challenges. from optimizing medical imaging methodologies to facilitating disease theranostics, the paper critically evaluates the transformative impact of ai on nuclear medical applications. by elucidating specific areas where ai has already demonstrated improvements, the research aims to provide a comprehensive understanding of the current landscape. keywords include artificial intelligence, radiomics, radiotherapy, medical imaging, radiopharmacy, and disease theranostics.
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کلیدواژه
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artificial intelligence ,radiomics ,radiotherapy ,medical imaging ,radiopharmacy ,disease theranostics
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آدرس
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shaoxing university, institute of artificial intelligence, china, gonbad kavous university, faculty of basic sciences and engineering, department of computer engineering, iran, urmia university of medical sciences, school of nursing and health sciences of boukan, iran, shaoxing university, institute of artificial intelligence, china
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پست الکترونیکی
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mehdi.gheisari61@gmail.com
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Authors
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