The single-photon emission computed tomography (SPECT) is a crucial segment of the healthcare industry. A SPECT is type of 3D imaging technique that uses nuclear medicine (short-life radioisotopes) and a special gamma camera to obtain 3D images of the functional and metabolic processes inside the human body. It is a non-invasive diagnostic imaging technique with various applications such as detection of cancers, neurological disorders among others.
The increasing use of artificial intelligence (AI) in SPECT with the use of deep learning algorithms and machine learning tools for enhancing image quality, attenuated correction, improved diagnostic accuracy, disease prediction and reduced interpretation time is attributing to the growth of this technique worldwide. Moreover, the rising investments in advanced diagnostic centres, strategic partnerships and collaborations between major market players, technological advancements, support from government bodies for developing innovative SPECT scanners is promoting the overall growth of the market.
The rising prevalence of cancer, neurological diseases and cardiovascular diseases and the demand for advanced diagnostic imaging techniques is expected to build growth opportunities for the market players in the impending years.
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