AIMC Topic: Nuclear Medicine

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The Role of Artificial Intelligence in Theranostics.

Journal of nuclear medicine technology
The recent reinvigoration of theranostics comes with advances in computing technology, radiochemistry, and instrumentation that synergize with developments in artificial intelligence (AI). There is a wide array of applications of AI in nuclear medici...

SNMMI/EANM/ACNM Procedure Standard/Procedure Guideline on the Use of Molecular Imaging for Renal Mass Characterization.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Anatomic imaging of renal masses provides limited information on the histology or likely aggressiveness of the tumor, leading to the use of invasive procedures such as renal mass biopsy or empiric partial or radical nephrectomy. Molecular imaging can...

Can interactive artificial intelligence be used for patient explanations of nuclear medicine examinations in Japanese?

Annals of nuclear medicine
OBJECTIVE: This study aimed to evaluate the accuracy and validity of patient explanations about nuclear medicine examinations generated in Japanese using ChatGPT- 3.5 and ChatGPT- 4.

Infection and Inflammation in Nuclear Medicine Imaging: The Role of Artificial Intelligence.

Seminars in nuclear medicine
Infectious and inflammatory diseases represent a global challenge. Delayed diagnosis and treatment lead to death, disabilities and impairment of the quality of life. The detection of low-grade inflammation and occult infections remains challenging. N...

Deep learning in nuclear medicine: from imaging to therapy.

Annals of nuclear medicine
BACKGROUND: Deep learning, a leading technology in artificial intelligence (AI), has shown remarkable potential in revolutionizing nuclear medicine.

Generative Artificial Intelligence in Nuclear Medicine Education.

Journal of nuclear medicine technology
Generative artificial intelligence (genAI) has become assimilated into the education, research, and clinical domains of nuclear medicine and health care. Understanding the principles, limitations, and applications of genAI is important for capitalizi...

Intuitive Human-Artificial Intelligence Theranostic Complementarity.

Cancer biotherapy & radiopharmaceuticals
Deep learning artificial intelligence (AI) algorithms are poised to subsume diagnostic imaging specialists in radiology and nuclear medicine, where radiomics can consistently outperform human analysis and reporting capability, and do it faster, with ...

The Evolution of Artificial Intelligence in Nuclear Medicine.

Seminars in nuclear medicine
Nuclear medicine has continuously evolved since its beginnings, constantly improving the diagnosis and treatment of various diseases. The integration of artificial intelligence (AI) is one of the latest revolutionizing chapters, promising significant...

Image Synthesis in Nuclear Medicine Imaging with Deep Learning: A Review.

Sensors (Basel, Switzerland)
Nuclear medicine imaging (NMI) is essential for the diagnosis and sensing of various diseases; however, challenges persist regarding image quality and accessibility during NMI-based treatment. This paper reviews the use of deep learning methods for g...

Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
BACKGROUND: Previous studies evaluated the ability of large language models (LLMs) in medical disciplines; however, few have focused on image analysis, and none specifically on cardiovascular imaging or nuclear cardiology. This study assesses four LL...