AIMC Topic: Nuclear Medicine

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Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images.

Radiography (London, England : 1995) Jun 24, 2024
PURPOSE: Artificial intelligence (AI) in positron emission tomography/computed tomography (PET/CT) can be used to improve image quality when it is useful to reduce the injected activity or the acquisition time. Particular attention must be paid to en...
Female Male Algorithms Focus Groups Nuclear Medicine Positron Emission Tomography Computed Tomography Workload Humans Artificial Intelligence
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The potential role of artificial intelligence in sustainability of nuclear medicine.

Radiography (London, England : 1995) Apr 6, 2024
Artificial Intelligence Nuclear Medicine Humans
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Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends.

Seminars in nuclear medicine Mar 22, 2024
Myocardial perfusion imaging (MPI), using either single photon emission computed tomography (SPECT) or positron emission tomography (PET), is one of the most commonly ordered cardiac imaging tests, with prominent clinical roles for disease diagnosis ...
Image Processing, Computer-Assisted Myocardial Perfusion Imaging Humans Artificial Intelligence Nuclear Medicine Cardiology
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Meta-research on reporting guidelines for artificial intelligence: are authors and reviewers encouraged enough in radiology, nuclear medicine, and medical imaging journals?

Diagnostic and interventional radiology (Ankara, Turkey) Feb 20, 2024
PURPOSE: To determine how radiology, nuclear medicine, and medical imaging journals encourage and mandate the use of reporting guidelines for artificial intelligence (AI) in their author and reviewer instructions.
Nuclear Medicine Periodicals as Topic Guidelines as Topic Radiology Humans Artificial Intelligence Authorship Diagnostic Imaging
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Robot-assisted Single Photon Emission Computed Tomography: Integrating Nuclear Medicine in Robotic Urologic Surgery.

European urology Feb 18, 2024
Urologic Surgical Procedures Nuclear Medicine Tomography, Emission-Computed, Single-Photon Humans Robotics Robotic Surgical Procedures
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Artificial Intelligence-powered automatic volume calculation in medical images - available tools, performance and challenges for nuclear medicine.

Nuklearmedizin. Nuclear medicine Nov 23, 2023
Volumetry is crucial in oncology and endocrinology, for diagnosis, treatment planning, and evaluating response to therapy for several diseases. The integration of Artificial Intelligence (AI) and Deep Learning (DL) has significantly accelerated the a...
Algorithms Reproducibility of Results Liver Nuclear Medicine Humans Artificial Intelligence
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AI in Nuclear Medicine - a review of the current situation.

Nuklearmedizin. Nuclear medicine Nov 23, 2023
Radionuclide Imaging Artificial Intelligence Nuclear Medicine
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Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?

Seminars in nuclear medicine May 22, 2023
Academic integrity in both higher education and scientific writing has been challenged by developments in artificial intelligence. The limitations associated with algorithms have been largely overcome by the recently released ChatGPT; a chatbot power...
Nuclear Medicine Humans Artificial Intelligence
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Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Dec 15, 2022
Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of health care. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We...
Ecosystem Molecular Imaging Artificial Intelligence Radionuclide Imaging Nuclear Medicine Humans
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Transparency in Artificial Intelligence Research: a Systematic Review of Availability Items Related to Open Science in Radiology and Nuclear Medicine.

Academic radiology Dec 14, 2022
RATIONALE AND OBJECTIVES: Reproducibility of artificial intelligence (AI) research has become a growing concern. One of the fundamental reasons is the lack of transparency in data, code, and model. In this work, we aimed to systematically review the ...
Radiography Radionuclide Imaging Artificial Intelligence Nuclear Medicine Reproducibility of Results Humans
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