[PDF][PDF] The TRUE checklist for identifying impactful AI-based findings in nuclear medicine: is it True? Is it Reproducible? Is it Useful? Is it Explainable?

I Buvat, F Orlhac - Journal of Nuclear Medicine, 2021 - Soc Nuclear Med
Dozens of articles describing artificial intelligence (AI) developments are submitted to
medical imaging journals every month, including in the Nuclear Medicine field. Our mission …

The TRUE checklist for identifying impactful artificial intelligence–based findings in nuclear medicine: is it true? Is it reproducible? Is it useful? Is it explainable?

I Buvat, F Orlhac - Journal of Nuclear Medicine, 2021 - Soc Nuclear Med
Dozens of articles describing artificial intelligence (AI) developments are submitted to
medical imaging journals every month, including in the nuclear medicine field. Our mission …

[HTML][HTML] Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation

D Visvikis, P Lambin, K Beuschau Mauridsen… - European journal of …, 2022 - Springer
Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as
it will in everyday life. In this review, we focus on the potential applications of AI in the field …

Best practices for evaluation of artificial intelligence-based algorithms for nuclear medicine: the RELIANCE guidelines

A Jha, T Bradshaw, I Buvat, M Hatt, KC Prabhat, C Liu… - 2022 - Soc Nuclear Med
2725 Introduction: Artificial intelligence (AI)-based methods are showing significant promise
in multiple aspects of nuclear medicine imaging, including image acquisition, reconstruction …

Is there value for artificial intelligence applications in molecular imaging and nuclear medicine?

G Porenta - Journal of Nuclear Medicine, 2019 - Soc Nuclear Med
Core competencies in molecular imaging and nuclear medicine include imaging with
radioactive isotopes, pattern recognition, image interpretation, and report communication. In …

[PDF][PDF] Artificial Intelligence Algorithms Need to Be Explainable—or Do They?

TJ Bradshaw, MD McCradden, AK Jha… - Journal of Nuclear …, 2023 - Soc Nuclear Med
With the growing role of artificial intelligence (AI) in radiology, there is concern over the black-
box nature of modern AI algorithms. Users of AI often have no way of knowing how or why …

Pitfalls in the development of artificial intelligence algorithms in nuclear medicine and how to avoid them

T Bradshaw, R Boellaard, J Dutta, A Jha, P Jacobs… - 2022 - Soc Nuclear Med
2724 Introduction: In developing artificial intelligence (AI) algorithms for nuclear medicine
applications, several pitfalls are frequently encountered which can impede progress, lead to …

Artificial intelligence in nuclear medicine

F Nensa, A Demircioglu… - Journal of Nuclear …, 2019 - Soc Nuclear Med
Despite the great media attention for artificial intelligence (AI), for many health care
professionals the term and the functioning of AI remain a “black box,” leading to exaggerated …

Updating the checklist for artificial intelligence in medical imaging (CLAIM) for reporting AI research

AS Tejani, ME Klontzas, AA Gatti, J Mongan… - Nature Machine …, 2023 - nature.com
The Checklist for Artificial Intelli-gence in Medical Imaging (CLAIM) promotes transparent
and reproducible reporting of artificial intelligence (AI) research in medical imaging, and has …

Physician centred imaging interpretation is dying out—why should I be a nuclear medicine physician?

R Hustinx - European journal of nuclear medicine and molecular …, 2019 - Springer
Radiomics, machine learning, and, more generally, artificial intelligence (AI) provide unique
tools to improve the performances of nuclear medicine in all aspects. They may help …