AIMC Topic: Nuclear Medicine

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Demystifying Medico-legal Challenges of Artificial Intelligence Applications in Molecular Imaging and Therapy.

PET clinics
Artificial Intelligence (AI) has been rapidly embraced by imaging fields and offers a variety of benefits in nuclear medicine; however, the biggest hurdles to AI in health care will likely not be technological but legal. What happens when an error oc...

Artificial Intelligence and Positron Emission Tomography Imaging Workflow:: Technologists' Perspective.

PET clinics
Artificial intelligence (AI) can enhance the efficiency of medical imaging quality control and clinical documentation, provide clinical decision support, and increase image acquisition and processing quality. A clear understanding of the basic tenets...

Emerging role of artificial intelligence in nuclear medicine.

Nuclear medicine communications
The role of artificial intelligence is increasing in all branches of medicine. The emerging role of artificial intelligence applications in nuclear medicine is going to improve the nuclear medicine clinical workflow in the coming years. Initial resea...

Artificial Neural Networks in Cardiovascular Diseases and its Potential for Clinical Application in Molecular Imaging.

Current radiopharmaceuticals
In medical imaging, Artificial Intelligence is described as the ability of a system to properly interpret and learn from external data, acquiring knowledge to achieve specific goals and tasks through flexible adaptation. The number of possible applic...

Artificial intelligence and radiomics in nuclear medicine: potentials and challenges.

European journal of nuclear medicine and molecular imaging
Artificial intelligence involves a wide range of smart techniques that are applicable to medical services including nuclear medicine. Recent advances in computer power, availability of accumulated digital archives containing large amount of patient i...

Radiomics: Data Are Also Images.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
The aim of this review is to provide readers with an update on the state of the art, pitfalls, solutions for those pitfalls, future perspectives, and challenges in the quickly evolving field of radiomics in nuclear medicine imaging and associated onc...