ReviewJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2014
Clinical decision support systems in myocardial perfusion imaging.
Review in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Meniscus Tear Morphology and Patient Demographics as Predictors of Treatment for Meniscal Tears: A Natural Language Processing Study.Orthopaedic journal of sports medicine · 2026Article
- Integrating artificial intelligence and natural language processing for computer-assisted reporting and report understanding in nuclear cardiology.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Review
- Development, diagnostic performance, and interobserver agreement of aJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Evaluating machine learning models for sepsis prediction: A systematic review of methodologies.iScience · 2022Article
- Value of combined perfusion and metabolic tracers versus stress-rest perfusion imaging for coronary heart disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021Article
- Ernest V. Garcia, PhD (Born 1948).Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020Article
- Artificial Intelligence and Myocardial Contrast Enhancement Pattern.Current cardiology reports · 2020Review
- Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database.Annals of nuclear medicine · 2018Article
- Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.European journal of nuclear medicine and molecular imaging · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Diagnostic imaging is becoming more complicated, physicians are also required to master an ever-expanding knowledge base and take into account an ever increasing amount of patient-specific clinical information while the time available to master this knowledge base, assemble the relevant clinical data, and apply it to specific tasks is steadily shrinking. Compounding these problems, there is an ever increasing number of aging "Baby Boomers" who are becoming patients coupled with a declining number of cardiac diagnosticians experienced in interpreting these studies. Hence, it is crucial that decision support tools be developed and implemented to assist physicians in interpreting studies at a faster rate and at the highest level of up-to-date expertise. Such tools will minimize subjectivity and intra- and inter-observer variation in image interpretation, help achieve a standardized high level of performance, and reduce healthcare costs. Presently, there are many decision support systems and approaches being developed and implemented to provide greater automation and to further objectify and standardize analysis, display, integration, interpretation, and reporting of myocardial perfusion SPECT and PET studies. This review focuses on these systems and approaches.
Indexed as
Identifiers
24482142What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.