Assessing the Cardiac Well-being of Children
In the realm of medical research, a significant dataset has been developed at Stanford University, designed to train computer vision models for evaluating cardiac health in pediatric patients. This dataset, consisting solely of echocardiogram videos, offers a valuable resource for researchers in the field.
However, it's essential to clarify that the dataset is not associated with Flickr user Jasleen Kaur, and her work does not contribute to the dataset's clinical measurements, calculations, or left ventricle tracings. The dataset's echocardiogram videos are not publicly available for general use or viewing on Flickr.
The dataset, created by researchers at Stanford University, includes annotations for each echocardiogram video. These annotations encompass clinical measurements, calculations, and a tracing of the left ventricle. The dataset is designed specifically for training computer vision models to evaluate cardiac health in pediatric patients, and the echocardiogram videos are not used for any other purposes.
Given the sensitive nature of clinical data, particularly involving pediatric cardiac information, accessing such datasets may require institutional approval, ethical clearance, or collaboration. To secure access to the Stanford pediatric echocardiogram dataset, it is recommended to contact the Stanford University Departments or Labs involved in pediatric cardiology or echocardiography directly.
Alternatively, you can check if Stanford or affiliated researchers have shared datasets through platforms like PhysioNet, NIH databases, or institutional repositories. In some cases, engaging in research collaborations or applications for data use agreements may be necessary if the data is not publicly distributed.
It's worth noting that UC San Diego’s Rady Children’s Hospital also boasts a rich echocardiography program, with large volumes of pediatric echocardiograms and advanced imaging training available, which could serve as an alternative contact point for datasets or collaboration opportunities.
In summary, to access the Stanford pediatric echocardiogram dataset for training computer vision models in cardiac health evaluation, pursuing direct institutional contact, potential collaboration, and ethical approval is necessary. If you are affiliated with a research institution, a formal request or partnership with Stanford’s pediatric cardiology or biomedical imaging departments is likely required. The dataset contains echocardiogram videos from patients aged 0 to 18 years old.
The Stanford pediatric echocardiogram dataset, developed for training AI and computer vision models in evaluating cardiovascular health, includes specialized annotations like clinical measurements, calculations, and left ventricle tracings. Access to this sensitive dataset, which is not publicly available on platforms like Flickr, may necessitate institutional approval, ethical clearance, or collaboration. Besides contacting Stanford University Departments or Labs directly, investigating research collaborations or data use agreements through platforms like PhysioNet, NIH databases, or institutional repositories might be beneficial. Additionally, UC San Diego’s Rady Children’s Hospital, with its extensive echocardiography program, could also serve as an alternative for obtaining datasets or collaboration opportunities.
