AIMC Topic: Nuclear Medicine

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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 ...
Myocardial Perfusion Imaging Cardiology Artificial Intelligence Humans Image Processing, Computer-Assisted Nuclear Medicine
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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.
Radiology Periodicals as Topic Diagnostic Imaging Nuclear Medicine Guidelines as Topic Humans Authorship Artificial Intelligence
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Robot-assisted Single Photon Emission Computed Tomography: Integrating Nuclear Medicine in Robotic Urologic Surgery.

European urology Feb 18, 2024
Humans Robotics Nuclear Medicine Tomography, Emission-Computed, Single-Photon Robotic Surgical Procedures Urologic 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...
Reproducibility of Results Humans Algorithms Nuclear Medicine Artificial Intelligence Liver
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AI in Nuclear Medicine - a review of the current situation.

Nuklearmedizin. Nuclear medicine Nov 23, 2023
Radionuclide Imaging Nuclear Medicine Artificial Intelligence
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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...
Artificial Intelligence Humans Nuclear Medicine
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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...
Nuclear Medicine Molecular Imaging Radionuclide Imaging Ecosystem Humans Artificial Intelligence
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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 ...
Reproducibility of Results Humans Nuclear Medicine Radionuclide Imaging Radiography Artificial Intelligence
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3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine.

Scanning Jul 16, 2022
Though artificial intelligence (AI) has been used in nuclear medicine for more than 50 years, more progress has been made in deep learning (DL) and machine learning (ML), which have driven the development of new AI abilities in the field. ANNs are us...
Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Nuclear Medicine Artificial Intelligence
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