Evidence
Semin Nucl Med. 2024 Mar 22:S0001-2998(24)00015-1. doi: 10.1053/j.semnuclmed.2024.02.005. Online ahead of print.
ABSTRACT
Myocardial perfusion imaging (MPI), using either single photon emission computed tomography (SPECT) or positron emission tomography (PET), is one of the most commonly ordered cardiac imaging tests, with prominent clinical roles for disease diagnosis and risk prediction. Artificial intelligence (AI) could potentially play a role in many steps along the typical MPI workflow, from image acquisition through to clinical reporting and risk estimation. AI can be utilized to improve image quality, reducing radiation exposure and image acquisition times. Once images are acquired, AI can help optimize motion correction and image registration during image reconstruction or provide direct image attenuation correction. Utilizing these image sets, AI can segment a number of anatomic features from associated computed tomographic imaging or even generate synthetic attenuation imaging. Lastly, AI may play an important role in disease diagnosis or risk prediction by combining the large number of potentially important clinical, stress, and imaging-related variables. This review will focus on the most recent developments in the field, providing clinicians and researchers with a timely update on the field. Additionally, it will discuss future trends including applications of AI during multiple points of the typical MPI workflow to maximize clinical utility and methods to maximize the information that can be obtained from hybrid imaging.
PMID:38521708 | DOI:10.1053/j.semnuclmed.2024.02.005
Estimated reading time: 4 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
Cool Evidence: Engaging Young People and Students in Real-World Evidence
Real-Time Evidence Search [Psychiatry]
AI Research
Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
- Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations
- Total Body PET-CT Protocols in Oncology
- Total Body PET-CT Protocols in Oncology
- Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence
- Noninvasive Atherosclerotic Phenotyping: The Next Frontier into Understanding the Pathobiology of Coronary Artery Disease
- Radiology: Cardiothoracic Imaging Highlights 2023
- Chronic social stressors and striatal dopamine functioning in humans: A systematic review of SPECT and PET studies
- Speeding Up and Improving Image Quality in Glioblastoma MRI Protocol by Deep Learning Image Reconstruction
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching
- Application of artificial intelligence in the diagnosis of prostate cancer
- US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation
- Absolute quantitation of sympathetic nerve activity using [123I] metaiodobenzylguanidine SPECT-CT in neurology
- Diagnostic performance of a deep-learning model using 18F-FDG PET/CT for evaluating recurrence after radiation therapy in patients with lung cancer
- Development of automatic generation system for lung nodule finding descriptions
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- Clinical implementation of a commercial synthetic computed tomography solution for radiotherapy treatment of glioblastoma
- Differentiating Prodromal Dementia with Lewy Bodies from Prodromal Alzheimer's Disease: A Pragmatic Review for Clinicians
- Re-evaluation of the prospective risk analysis for artificial-intelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of clinical experience
- Re-evaluation of the prospective risk analysis for artificial-intelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of clinical experience
- Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance
- Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography
- The new era of artificial intelligence in neuroradiology: current research and promising tools
- Neuroimaging to Facilitate Clinical Trials in Huntington's Disease: Current Opinion from the EHDN Imaging Working Group
- An Update on MR Spectroscopy in Cancer Management: Advances in Instrumentation, Acquisition, and Analysis
- Artificial intelligence- image learning and its applications in neurooncology: a review
- Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review
- The role of artificial intelligence in psychiatry
- Common anesthetic used in preclinical PET imaging inhibits metabolism of the PET tracer [18F]3F4AP
- Artificial intelligence-assisted measurements of coronary computed tomography angiography parameters such as stenosis, flow reserve and fat attenuation for predicting major adverse cardiac events in patients with coronary arterial disease
- Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers
- Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
- In vitro evaluation of PET radiotracers for imaging synaptic density, the acetylcholine transporter, AMPA-tarp-γ8 and muscarinic M4 receptors in Alzheimer's disease
- Glymphatic system dysfunction predicts amyloid deposition, neurodegeneration, and clinical progression in Alzheimer's disease
- Artificial Intelligence: Can It Save Lives, Hospitals and Lung Screening?
- Longitudinal Changes of Regional Cerebral Blood Flow on a Single-Photon Emission Computed Tomography (SPECT) Scan in a Patient With Schizophrenia Having Cotard's Syndrome
- Systematic review and meta-analysis of deep learning applications in computed tomography lung cancer segmentation
- Use of Conventional Chest Imaging and Artificial Intelligence in COVID-19 Infection. A Review of the Literature
- Radiomics and Artificial Intelligence in Renal Lesion Assessment
- Advances in research and application of artificial intelligence and radiomic predictive models based on intracranial aneurysm images
- Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering
- Clinical Arterial Spin-Labeling MR Imaging to Screen for Typical and Atypical Neurodegenerative Disease in the New Era of Alzheimer Treatment
- Artificial Intelligence in Cancer Diagnosis: A Game-Changer in Healthcare
- Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases
- Artificial intelligence and machine learning responses to COVID-19 related inquiries
- Deep learning-based whole-body PSMA PET/CT attenuation correction utilizing Pix-2-Pix GAN
- Diagnostic efficacy of [68Ga]Ga-DOTA-GPFAPI-04 in patients with solid tumors in a head-to-head comparison with [18F]F-FDG: results from a prospective clinical study
- Artificial intelligence for high content imaging in drug discovery
- Improving Laryngoscopy Image Analysis Through Integration of Global Information and Local Features in VoFoCD Dataset
- AI-based support for optical coherence tomography in age-related macular degeneration
- Amyloid-β and Phosphorylated Tau are the Key Biomarkers and Predictors of Alzheimer's Disease
- Role of artificial intelligence (Google bard) in morphological, histopathological, and radiological image identifications: Objective Structured Practical Examination (OSPE) type-based performance
- Cloud-based large-scale curation of medical imaging data using AI segmentation
- Quantitative Brain Amyloid PET
- Kinetic modeling of the monoamine oxidase-B radioligand [(18)F]SMBT-1 in human brain with positron emission tomography
- Utility of combining multiple parameters of (123)I-IMP SPECT and voxel-based morphometry MRI using a multiparametric scoring system for differentiating dementia with Lewy bodies from Alzheimer's disease
- Neuroimage analysis using artificial intelligence approaches: a systematic review
- MRI detection of mild malformation of cortical development with oligodendroglial hyperplasia (MOGHE) on T1WI-CHESS
- Artificial Intelligence in Bone Metastasis Imaging: Recent Progresses from Diagnosis to Treatment - A Narrative Review
- A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
- The value of AI-based analysis of fractional flow reserve of volume computed tomographically detected coronary artery stenosis with regard to their hemodynamic relevance
- Photoacoustic Tomography with Temporal Encoding Reconstruction (PATTERN) for cross-modal individual analysis of the whole brain
Evidence Blueprint
Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
- Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations
- Total Body PET-CT Protocols in Oncology
- Total Body PET-CT Protocols in Oncology
- Evaluating the Diagnostic Efficacy of 99mTc-Methionine Single-Photon Emission Computed Tomography-Computed Tomography: A Head-to-Head Comparison with 11C-Methionine Positron Emission Tomography-Magnetic Resonance Imaging in Glioma Patients
- Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence
- MULTI-TASK DEEP LEARNING AND UNCERTAINTY ESTIMATION FOR PET HEAD MOTION CORRECTION
- Innovative advances in pediatric radiology: computed tomography reconstruction techniques, photon-counting detector computed tomography, and beyond
- Applications of PET and SPECT in Patients with Autism Spectrum Disorder
- Noninvasive Atherosclerotic Phenotyping: The Next Frontier into Understanding the Pathobiology of Coronary Artery Disease
- Radiology: Cardiothoracic Imaging Highlights 2023
- Improved postprocessing of dynamic glucose-enhanced CEST MRI for imaging brain metastases at 3 T
- Chronic social stressors and striatal dopamine functioning in humans: A systematic review of SPECT and PET studies
- Speeding Up and Improving Image Quality in Glioblastoma MRI Protocol by Deep Learning Image Reconstruction
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature
- Longitudinal patterns of Alzheimer's disease subtypes: A follow-up magnetic resonance imaging and single-photon emission computed tomography study
- Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching
- Application of artificial intelligence in the diagnosis of prostate cancer
- Brain Perfusion Changes in a Patient with Facial Trauma
- Imaging Characteristics of Meningiomas
- Tau accumulation is associated with dopamine deficiency in vivo in four-repeat tauopathies
- US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation
- Absolute quantitation of sympathetic nerve activity using [123I] metaiodobenzylguanidine SPECT-CT in neurology
- Diagnostic performance of a deep-learning model using 18F-FDG PET/CT for evaluating recurrence after radiation therapy in patients with lung cancer
- Development of automatic generation system for lung nodule finding descriptions
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI
- Clinical implementation of a commercial synthetic computed tomography solution for radiotherapy treatment of glioblastoma
- Cerebellar and Occipital Alterations in Brain Perfusion in a Patient With Post-acute COVID-19 Encephalopathy Misdiagnosed As Primary Psychotic Disorder
- Perfusion Imaging and Inflammation Biomarkers Provide Complementary Information in Alzheimer's Disease
- Differentiating Prodromal Dementia with Lewy Bodies from Prodromal Alzheimer's Disease: A Pragmatic Review for Clinicians
- Re-evaluation of the prospective risk analysis for artificial-intelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of clinical experience
- Re-evaluation of the prospective risk analysis for artificial-intelligence driven cone beam computed tomography-based online adaptive radiotherapy after one year of clinical experience
- Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition
- Deep Learning Synthesis of White-Blood From Dark-Blood Late Gadolinium Enhancement Cardiac Magnetic Resonance
- Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography
- The new era of artificial intelligence in neuroradiology: current research and promising tools
- Affine Image Registration of Arterial Spin Labeling MRI Using Deep Learning Networks
- Neuroimaging to Facilitate Clinical Trials in Huntington's Disease: Current Opinion from the EHDN Imaging Working Group
- An Update on MR Spectroscopy in Cancer Management: Advances in Instrumentation, Acquisition, and Analysis
- Targeted examination of amyloid beta and tau protein accumulation via positron emission tomography for the differential diagnosis of Alzheimer's disease based on the A/T(N) research framework
- Artificial intelligence- image learning and its applications in neurooncology: a review
- Artificial intelligence in histopathological image analysis of central nervous system tumours: A systematic review
- The role of artificial intelligence in psychiatry
- Imaging the brain's immune response to alcohol with [11C]PBR28 TSPO Positron Emission Tomography
- Common anesthetic used in preclinical PET imaging inhibits metabolism of the PET tracer [18F]3F4AP
- Artificial intelligence-assisted measurements of coronary computed tomography angiography parameters such as stenosis, flow reserve and fat attenuation for predicting major adverse cardiac events in patients with coronary arterial disease
- Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers
- Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
- In vitro evaluation of PET radiotracers for imaging synaptic density, the acetylcholine transporter, AMPA-tarp-γ8 and muscarinic M4 receptors in Alzheimer's disease
- Characterization of (R)- and (S)-[18F]OF-NB1 in Rodents as Positron Emission Tomography Probes for Imaging GluN2B Subunit-Containing N-Methyl-d-Aspartate Receptors
- Glymphatic system dysfunction predicts amyloid deposition, neurodegeneration, and clinical progression in Alzheimer's disease
- Artificial Intelligence: Can It Save Lives, Hospitals and Lung Screening?
- Longitudinal Changes of Regional Cerebral Blood Flow on a Single-Photon Emission Computed Tomography (SPECT) Scan in a Patient With Schizophrenia Having Cotard's Syndrome
- Systematic review and meta-analysis of deep learning applications in computed tomography lung cancer segmentation
- [18F]FNDP PET neuroimaging test-retest repeatability and whole-body dosimetry in humans
- Automatic synthesis of 18F-AV-45 and its clinical application in Alzheimer's disease
- Neurons on tape: Automated Tape Collecting Ultramicrotomy-mediated volume EM for targeting neuropathology
- High-resolution imaging in studies of alcohol effect on prenatal development
- Use of Conventional Chest Imaging and Artificial Intelligence in COVID-19 Infection. A Review of the Literature
- Radiomics and Artificial Intelligence in Renal Lesion Assessment
- Synaptic loss and its association with symptom severity in Parkinson's disease
- In Silico Discovery and Subsequent Characterization of Potent 4R-Tauopathy Positron Emission Tomography Radiotracers
- Advances in research and application of artificial intelligence and radiomic predictive models based on intracranial aneurysm images