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 …

In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

Efficient methods developed with deep learning in the last ten years have provided
objectivity and high accuracy in the diagnosis of skin diseases. They also support accurate …

Prostate cancer is the second most common cause of malignancy among men, with bone
metastasis being a significant source of morbidity and mortality in advanced cases …

Background: This study targets the development of an explainable deep learning
methodology for the automatic classification of coronary artery disease, utilizing SPECT MPI …

Objective: Dermatological diseases are public health problems. Several factors including
subjective diagnosis, lack of enough dermatologists, inability to go to a dermatologist due to …

Metastatic Prostate Cancer (mPCa) is associated with a poor patient prognosis. mPCa
spreads throughout the body, often to bones, with spatial and temporal variations that make …

Deep learning is a subfield of state-of-the-art artificial intelligence (AI) technology, and
multiple deep learning-based AI models have been applied to musculoskeletal diseases …

(1) Background: Single-photon emission computed tomography (SPECT) myocardial
perfusion imaging (MPI) is a long-established estimation methodology for medical diagnosis …

In the field of metastatic skeletal oncology imaging, the role of artificial intelligence (AI) is
becoming more prominent. Bone metastasis typically indicates the terminal stage of various …