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Journal of Nuclear Medicine

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artificial intelligence

  • ChatGPT: Can You Prepare My Patients for [<sup>18</sup>F]FDG PET/CT and Explain My Reports?
    Open Access
    ChatGPT: Can You Prepare My Patients for [18F]FDG PET/CT and Explain My Reports?
    Julian M.M. Rogasch, Giulia Metzger, Martina Preisler, Markus Galler, Felix Thiele, Winfried Brenner, Felix Feldhaus, Christoph Wetz, Holger Amthauer, Christian Furth and Imke Schatka
    Journal of Nuclear Medicine September 14, 2023, jnumed.123.266114; DOI: https://doi.org/10.2967/jnumed.123.266114
  • Automated Brain Tumor Detection and Segmentation for Treatment Response Assessment Using Amino Acid PET
    You have access
    Automated Brain Tumor Detection and Segmentation for Treatment Response Assessment Using Amino Acid PET
    Robin Gutsche, Carsten Lowis, Karl Ziemons, Martin Kocher, Garry Ceccon, Cláudia Régio Brambilla, Nadim J. Shah, Karl-Josef Langen, Norbert Galldiks, Fabian Isensee and Philipp Lohmann
    Journal of Nuclear Medicine August 10, 2023, jnumed.123.265725; DOI: https://doi.org/10.2967/jnumed.123.265725
  • An Investigation of Lesion Detection Accuracy for Artificial Intelligence–Based Denoising of Low-Dose <sup>64</sup>Cu-DOTATATE PET Imaging in Patients with Neuroendocrine Neoplasms
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    An Investigation of Lesion Detection Accuracy for Artificial Intelligence–Based Denoising of Low-Dose 64Cu-DOTATATE PET Imaging in Patients with Neuroendocrine Neoplasms
    Mathias Loft, Claes N. Ladefoged, Camilla B. Johnbeck, Esben A. Carlsen, Peter Oturai, Seppo W. Langer, Ulrich Knigge, Flemming L. Andersen and Andreas Kjaer
    Journal of Nuclear Medicine June 1, 2023, 64 (6) 951-959; DOI: https://doi.org/10.2967/jnumed.122.264826
  • Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events
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    Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events
    Robert J.H. Miller, Konrad Pieszko, Aakash Shanbhag, Attila Feher, Mark Lemley, Aditya Killekar, Paul B. Kavanagh, Serge D. Van Kriekinge, Joanna X. Liang, Cathleen Huang, Edward J. Miller, Timothy Bateman, Daniel S. Berman, Damini Dey and Piotr J. Slomka
    Journal of Nuclear Medicine April 1, 2023, 64 (4) 652-658; DOI: https://doi.org/10.2967/jnumed.122.264423
  • Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
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    Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
    Aakash D. Shanbhag, Robert J.H. Miller, Konrad Pieszko, Mark Lemley, Paul Kavanagh, Attila Feher, Edward J. Miller, Albert J. Sinusas, Philipp A. Kaufmann, Donghee Han, Cathleen Huang, Joanna X. Liang, Daniel S. Berman, Damini Dey and Piotr J. Slomka
    Journal of Nuclear Medicine March 1, 2023, 64 (3) 472-478; DOI: https://doi.org/10.2967/jnumed.122.264429
  • Open Access
    Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
    Babak Saboury, Tyler Bradshaw, Ronald Boellaard, Irène Buvat, Joyita Dutta, Mathieu Hatt, Abhinav K. Jha, Quanzheng Li, Chi Liu, Helena McMeekin, Michael A. Morris, Peter J.H. Scott, Eliot Siegel, John J. Sunderland, Neeta Pandit-Taskar, Richard L. Wahl, Sven Zuehlsdorff and Arman Rahmim
    Journal of Nuclear Medicine February 1, 2023, 64 (2) 188-196; DOI: https://doi.org/10.2967/jnumed.121.263703
  • <sup>18</sup>F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients
    Open Access
    18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients
    Kibrom B. Girum, Louis Rebaud, Anne-Ségolène Cottereau, Michel Meignan, Jérôme Clerc, Laetitia Vercellino, Olivier Casasnovas, Franck Morschhauser, Catherine Thieblemont and Irène Buvat
    Journal of Nuclear Medicine December 1, 2022, 63 (12) 1925-1932; DOI: https://doi.org/10.2967/jnumed.121.263501
  • Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging
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    Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging
    Robert J.H. Miller, Keiichiro Kuronuma, Ananya Singh, Yuka Otaki, Sean Hayes, Panithaya Chareonthaitawee, Paul Kavanagh, Tejas Parekh, Balaji K. Tamarappoo, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Sebastien Cadet, Joanna X. Liang, Damini Dey, Daniel S. Berman and Piotr J. Slomka
    Journal of Nuclear Medicine November 1, 2022, 63 (11) 1768-1774; DOI: https://doi.org/10.2967/jnumed.121.263686
  • You have access
    Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
    Abhinav K. Jha, Tyler J. Bradshaw, Irène Buvat, Mathieu Hatt, Prabhat KC, Chi Liu, Nancy F. Obuchowski, Babak Saboury, Piotr J. Slomka, John J. Sunderland, Richard L. Wahl, Zitong Yu, Sven Zuehlsdorff, Arman Rahmim and Ronald Boellaard
    Journal of Nuclear Medicine September 1, 2022, 63 (9) 1288-1299; DOI: https://doi.org/10.2967/jnumed.121.263239
  • You have access
    Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
    Tyler J. Bradshaw, Ronald Boellaard, Joyita Dutta, Abhinav K. Jha, Paul Jacobs, Quanzheng Li, Chi Liu, Arkadiusz Sitek, Babak Saboury, Peter J.H. Scott, Piotr J. Slomka, John J. Sunderland, Richard L. Wahl, Fereshteh Yousefirizi, Sven Zuehlsdorff, Arman Rahmim and Irène Buvat
    Journal of Nuclear Medicine April 1, 2022, 63 (4) 500-510; DOI: https://doi.org/10.2967/jnumed.121.262567

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