According to FutureWise analysis, the market for AI in medical imaging is to reach USD 753.9 million in 2022, and is projected to expand at a CAGR of 34.8% from 2023-2031.
Artificial intelligence (AI), when used in medical imaging, is one of the most promising innovations in health and medicine. AI is used in medical imaging for a number of purposes, including image acquisition, processing to assist reporting, planning follow-up appointments, data storage and data mining. AI has shown impressive precision and sensitivity in categorizing imaging abnormalities over the past few years. It also guarantees enhanced tissue-based detection. Machine learning (ML), a branch of artificial intelligence, uses algorithms and computational models that mimic the brain's natural neural networks. AI (Artificial Intelligence in Medical Imaging) is the use of artificial intelligence techniques, such as deep learning and machine learning, for medical imaging. Computer algorithms and models are used to analyze medical images, assist healthcare professionals with diagnosis and make informed decisions. AI in Medical Imaging aims to enhance the process of medical imaging by using computational techniques.
AI algorithms can improve diagnostic accuracy in this field. AI models are able to detect subtle patterns and abnormalities by analyzing large volumes of imaging data. Radiologists have a difficult time identifying these. This leads to more accurate diagnoses and reduces the risk of misdiagnosis. The Medical Imaging Market is driven by the increasing demand for AI (Artificial Intelligence). Medical imaging technologies. Medical imaging will benefit from the rapid advancements of AI. Now, deep-learning techniques such as GANs and other deep-learning techniques are being used to reconstruct high-resolution images from noisy or low-resolution inputs. In some cases, this can reduce radiation exposure and improve image quality under suboptimal conditions. Deep learning models are also being developed to detect abnormalities and classify them in X-rays and mammograms. CT scans and MRIs can be improved by using these models.
FutureWise Market Research has instantiated a report that provides an intricate analysis of AI in Medical Imaging Market trends that shall affect the overall market growth. Furthermore, it includes detailed information on the graph of profitability, SWOT analysis, market share and regional proliferation of this business. Moreover, the report offers insights on the current stature of prominent market players in the competitive landscape analysis of this market.
According to the research study conducted by FutureWise research analysts, the AI in Medical Imaging Market is anticipated to attain substantial growth by the end of the forecast period. The report explains that this business is predicted to register a noteworthy growth rate over the forecast period. This report provides crucial information pertaining to the total valuation that is presently held by this industry and it also lists the segmentation of the market along with the growth opportunities present across this business vertical.