Extending the clinical capabilities of short-and long-lived positron-emitting radionuclides through high sensitivity PET/CT

J van Sluis, R Borra, C Tsoumpas, JH van Snick… - Cancer Imaging, 2022 - Springer
This review describes the main benefits of using long axial field of view (LAFOV) PET in
clinical applications. As LAFOV PET is the latest development in PET instrumentation, many …

[HTML][HTML] Sex differences in diagnostic modalities of atherosclerosis in the macrocirculation

PLM Kerkhof, F Tona - Atherosclerosis, 2023 - Elsevier
Asymptomatic atherosclerosis begins early in life and may progress in a sex-specific manner
to become the major cause of cardiovascular morbidity and death. As diagnostic tools to …

Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data …

M Hatt, AK Krizsan, A Rahmim, TJ Bradshaw… - European Journal of …, 2023 - Springer
Purpose The purpose of this guideline is to provide comprehensive information on best
practices for robust radiomics analyses for both hand-crafted and deep learning-based …

Empowering PET: harnessing deep learning for improved clinical insight

A Artesani, A Bruno, F Gelardi, A Chiti - European Radiology Experimental, 2024 - Springer
This review aims to take a journey into the transformative impact of artificial intelligence (AI)
on positron emission tomography (PET) imaging. To this scope, a broad overview of AI …

[HTML][HTML] Towards quality management of artificial intelligence systems for medical applications

L Mercolli, A Rominger, K Shi - Zeitschrift für Medizinische Physik, 2024 - Elsevier
The use of artificial intelligence systems in clinical routine is still hampered by the necessity
of a medical device certification and/or by the difficulty of implementing these systems in a …

Quantification of liver-Lung shunt fraction on 3D SPECT/CT images for selective internal radiation therapy of liver cancer using CNN-based segmentations and non …

MH Luu, HS Mai, XL Pham, QA Le, QK Le… - Computer methods and …, 2023 - Elsevier
Purpose: Selective internal radiation therapy (SIRT) has been proven to be an effective
treatment for hepatocellular carcinoma (HCC) patients. In clinical practice, the treatment …

An EANM position paper on the application of artificial intelligence in nuclear medicine

R Hustinx, J Pruim, M Lassmann, D Visvikis - European Journal of Nuclear …, 2022 - Springer
Artificial intelligence (AI) is coming into the field of nuclear medicine, and it is likely here to
stay. As a society, EANM can and must play a central role in the use of AI in nuclear …

[HTML][HTML] Algorethics in Healthcare: Balancing Innovation and Integrity in AI Development

A Lastrucci, A Pirrera, G Lepri, D Giansanti - Algorithms, 2024 - mdpi.com
The rapid advancement of artificial intelligence (AI) technology has catalyzed
unprecedented innovation in the healthcare industry, transforming medical practices and …

[PDF][PDF] Artificial intelligence in nuclear medicine physics and imaging

K Papachristou, E Panagiotidis, A Makridou… - Hell J Nucl …, 2023 - nuclmed.gr
No one can deny the significant impact of artificial intelligence (AI) on everyday life,
especially in the health sector where it has emerged as a crucial and beneficial tool in …

Deep transformer-based personalized dosimetry from SPECT/CT images: a hybrid approach for [177Lu]Lu-DOTATATE radiopharmaceutical therapy

Z Mansouri, Y Salimi, A Akhavanallaf, I Shiri… - European Journal of …, 2024 - Springer
Purpose Accurate dosimetry is critical for ensuring the safety and efficacy of
radiopharmaceutical therapies. In current clinical dosimetry practice, MIRD formalisms are …