ChestEye was created to reduce the workload of radiologists, by taking care of the tedious part of the work. As the X-Ray scan is performed, ChestEye automatically analyses the image and produces a preliminary diagnosis report as well as findings heatmap on the X-Ray image. It saves the radiologist from manually describing the case. In addition, the radiologist is already provided with an informed diagnosis opinion when he first sees the image. According to our internal trials, it allows to reduce time-per-patient by at least 30% percent. In addition, ChestEye detects secondary findings which could be missed by the radiologist in time-sensitive, stressful working conditions reducing the error rate. Additional functionality such as radiology queue management module prioritizes cases inviting urgent specialist attention. Ability to search and discover images with similar radiological appearance enables to make a more precise diagnosis and provides a valuable ‘second opinion’.
ChestEye integrates with PACS and RIS infrastructure. We developed ChestEye to run ‘under the surface’ of radiology department infrastructure, without the need for additional dashboards or screens. After the X-Ray scan is performed, the findings are automatically localized on a heatmap and preliminary report generated in existing RIS system. The radiologists is provided with the report and diagnosis when he first sees the processed X-Ray image. Therefore introduction of ChestEye requires no changes to the current radiology department workflow.
ChestEye preliminary reports can be customized to adhere to the reporting practice of your medical institutions. We already have deployment experience where the reports had to be customized to fit the needs of the customer. We aim to provide reports in such manner that they could be used as a finalized diagnosis document.
The reports are generated in the native language of a medical institution, also adhering to the medical terminology used. ChestEye currently supports 12 European languages and the number is constantly increasing. If the language is not currently supported we are adding additional language support per client request. It usually takes up to 4 weeks to add additional language support. With the goal to increase productivity by more than 30%, we aim to generate preliminary reports in the way they could be used as a finalized diagnosis document.
Despite the scaremongering tropes in the media, the answer is a resounding no! There is a global shortage of radiology specialists. This results in reduced quality of service for patients, as well as ever-increasing workload of radiology professionals. With ChestEye we aim harness AI capabilities to improve patient care and radiologist working conditions. The solution is clearly aimed to reduce manual workload (e.g. description of cases) and provide prompt preliminary diagnosis. Therefore we regard ChestEye as a productivity tool as well as a diagnostics aid for radiologists decision making.
Request a ChestEye demo here. We recommend to prepare a set of your chest X-Ray images which could be analyzed in real-time. We may also provide you with platform access for further clinical evaluation.
Please request pricing quote here
ChestEye was developed due to the global shortage of radiology specialists. In addition, the workload of radiologists is ever increasing. ChestEye aims to make radiologist work less tiresome, reduce the stress-levels and provide faster, more accurate diagnosis. From our experience, medical institutions were able to increase radiology department productivity by at least 30%.
From our experience, medical institutions were able to increase radiology department productivity by at least 30%. For instance, a hospital could provide same day scan reports for ambulatory patients - which earlier took at least 3 work days - the same level of service as for hospitalized patients. Utilization of ChestEye also resulted in more accurate diagnosis.
The platform operates with an average area under curve of 93% and this metric is always improving. We have undertaken comparative tests of radiologists working alongside ChestEye platform. The vast majority of reports were approved by the radiologist without any modification, some of the reports were more precise or identified additional findings as compared to an unaided radiologist. ChestEye was developed as a productivity tool and a diagnostics aid - providing an informed preliminary opinion.
ChestEye covers 75 most common radiological findings - approx. 90% of findings encountered by a radiology department on a daily basis. For AI radiology solutions to be practical in real life conditions, they must cover the widest scope of diagnosis. In addition, the platform provides reports in native language of medical institution. The platform integrates into PACS/RIS infrastructure without creating additional dashboards of requiring workflow changes. Finally, the solution is CE certified and can be deployed in 32 European markets for clinical applications.
ChestEye is usually deployed on client premises with data processing and storage on site. Cloud deployment is also possible depending on client and legislative requirements.
Request a ChestEye demo here. We recommend to prepare a set of your chest X-Ray images which could be analyzed in real-time. We may also provide you with platform access for further clinical evaluation.
ChestEye works with anonymized data in order to fully comply with GDPR regulations. If required, images even not leave the client’s IT infrastructure.
Please request pricing quote here
The market for AI radiology solution is rapidly expanding. Introducing AI diagnosis is on the roadmap of many medical institutions. Many PACS/RIS providers are already implementing AI solutions,therefore in order to gain competitive advantage against competition.
ChestEye covers 75 most common radiological findings - approx. 90% of findings encountered by a radiology department on a daily basis, therefore it allows to prepare full initial reports, which is important to radiologists on their work. ChestEye also has search and triage solutions, which optimize the workflow of radiologists.
ChestEye supports DICOM and HL7 making it easy to integrate with.
Please request pricing quote here
The market for AI radiology solution is rapidly expanding. Introducing AI diagnosis is on the roadmap of many medical institutions. The market is already there and exponentially growing year on year
ChestEye concentrate on task to reduce the amount of work for radiologists taking out the tedious part of the work. ChestEye covers 75 most common radiological findings - approx. 90% of findings encountered by a radiology department on a daily basis, therefore it allows to prepare full initial reports, which is important to radiologists on their work. ChestEye also has search and triage solutions, which optimize the workflow of radiologists.
Please request pricing quote here