![]() ![]() ![]() ![]() Such advantages compensate for its drawbacks. Outside of different criteria taken into consideration before investing in flat panel detectors, end users are taking into various advantages such as simplified image storage, portability, and ability of software processing. Nevertheless, medical practitioners and healthcare stakeholders are taking into consideration different criteria including image quality, flexibility in applications, and device size before investing in flat panel detectors. However, disadvantages such as high cost as compared to traditional film systems, low spatial resolution, and possibility of artifacts are influencing the sales of flat panel detectors. This is evident since flat panel detectors allows a digitized image while taking an X-ray. Request a sample to get extensive insights into the Market Can Flat Panel Detectors Permanently Replace Traditional X-ray Film Systems?įlat panel detectors are emerging as an alternative to conventional X-ray film in order to simplify the process. Stakeholders in the market are taking advantage of this opportunity to increase the availability of radiological examination through X-ray such as CT (Computed Tomography) scans, which is a cost-efficient and easily available option. Chest X-ray being one of the most easily available and least expensive option has sparked the demand for robust X-ray detector machines to improve medical outcomes.Īlthough Reverse Transcription Polymerase Chain Reaction (RT-PCR) tests are accurate in detecting COVID-19 in individuals, the test is very complicated, time-consuming, and costly. In order to support healthcare systems, companies in the X-ray detectors market are leveraging their supply chains and after-sales services to ensure long-term relationships with customers, partners, and clients. X-ray with RT-PCR Tests Helps in Detecting COVID-19Īs COVID-19 continues to have catastrophic effects on the lives of human beings throughout the world, healthcare facilities are under scrutiny for providing proper care and diagnosis for patients. ![]()
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