Artificial intelligence can help imaging technicians do a lot of things. Through the internet and artificial intelligence technology to create a multi-dimensional system of medical images, to help doctors analyze and diagnose diseases in real time, accurately and efficiently, reduce the cost of medical treatment for patients.
Medical image intelligent analysis refers to the use of artificial intelligence technology to identify and analyze medical images, help doctors locate illnesses and examine the condition, and assist in making the diagnosis. Medical imaging big data is a large-scale, high-growth, multi-structure, high-value, true, and accurate image generated by DR, CT, MR, and other medical imaging equipment and stored in the PACS Data collection.
Global AI-Enabled Medical Imaging Solutions Market projected to grow at a substantial rate during the forecast period, 2020-2027. The growing adoption of AI-based medical imaging in cardiology, pathology, ophthalmology, etc. are expected to fuel the growth of AI-enabled medical imaging solutions market in the forthcoming years. Moreover, expanding the range of applications of AI in medical imaging, shortage of healthcare workforce, coupled with huge R&D investments will accelerate the robust growth of AI-enabled medical imaging solutions market size in the upcoming period. Additionally, improvement in computing power, learning algorithms, and availability of huge data sets for health monitors and medical devices are anticipated to boom the AI-enabled medical imaging solutions industry.
There are main types of application of artificial intelligence in the field of medical imaging: disease screening, quantification of lesions, qualitative lesions, and have covered many diseases such as lung nodules, breast cancer, cardiovascular, skin cancer, etc. Furthermore, the surge in the adoption of artificial intelligence for finding minor abnormalities in patients and improvements in medical imaging diagnosis in the detection of life-threatening diseases will propel the growth of the AI-enabled medical imaging market.
AI-based pattern recognition and machine learning algorithms can be applied to identify borders and motion, which are ideal for evaluating the heart. For example, ultrasound imaging of the heart or echocardiography is the most widely used imaging technique for the evaluation of cardiac heart function.
AI tools can be used to automate other measurement tasks, such as aortic valve analysis, carina angle, and pulmonary artery diameter measurement. Applying AI to imaging data can also help identify thickening of certain muscle structures (such as the left ventricular wall), or monitor changes in blood flow through the heart and related arteries. In addition, the automatic pulmonary artery blood flow avoids the error of manual measurement and provides structured quantitative data to save time for doctors to interpret the results. These data can be used in later research or risk stratification schemes. The algorithm can also automatically fill in reports for human clinical. The doctor saves time and determines abnormal measurements.
Based on the product, the global AI-Enabled Medical Imaging Solutions market bifurcated into Software and Services. The Software segment predicted to gain a major share in the market by 2027, owing to the growing demand for the radiologists in the assessment and characterization of breast abnormalities using magnetic resonance imaging (MRI). Additionally, the aging population and increasing access to technological healthcare solutions in emerging markets will drive the AI-enabled imaging market.
The Services segment will grow on account of the AI-based imaging solutions aid tasks associated with patient care imaging or business operations, and transform medical imaging, saving providers time and effort when diagnosing and treating patients.
Based on workflow, the global AI-Enabled Medical Imaging Solutions market categorized into Image Analysis, Image Acquisition, Detection, Reporting and Communication, Diagnosis and Treatment Decision Support, Predictive Analysis and Risk Assessment, Triage, and Equipment Maintenance. The Image Analysis projected to dominate the market by 2027 due to AI help in increasing skills in visual image analysis through reconstruction techniques such as optimize reconstruction performance, deep learning‐based methods reforms image for finding a mapping between the sensor and the image domain.
Image Acquisition segment will grow due to the power of AI to reducing noise and artifacts and enhancing contrast, giving physicians a clearer view of the patient’s pathology.
Based on application, the global AI-Enabled Medical Imaging Solutions market classified into Cardiology, Oncology, Neurology, Respiratory, Orthopedics, and Others. The Cardiology segment estimated to generate maximum revenue by 2027, due to the growing demand for AI for using echocardiographic images to classify the view of the mages. AI assists in evaluating coronary artery vulnerable plaques, perform intelligent assisted diagnosis of coronary heart disease and plan stent implantation plans.
The Neurology segment will grow attributable to the benefits of AI in cardiology to complex manifestations of heterogeneous central nervous system neoplasms for improving patient outcomes.
Based on technology, the global AI-Enabled Medical Imaging Solutions market categorized into Deep Learning, Computer Vision, and Others. Computer Vision segment expected to gain maximum revenue by 2027 owing to its help in transforming medical imaging and diagnosis of a range of diseases.
The deep learning segment will surge in the forecast period as deep learning used for image analysis to devise imaging-based diagnostic and classification systems of disease problems.
Based on modality, the global AI-Enabled Medical Imaging Solutions market segregated into Computed Tomography (CT), Magnetic Resonance (MR), Ultrasound, X-Ray, Mammography, Multimodality Imaging Systems, and Others. Computer Vision segment expected to gain maximum revenue by 2027 owing to detect the small changes in the brain of patients, and quantitative analysis of brain MRI may improve the clinical diagnosis efficiency.
Based on end-user, the global AI-Enabled Medical Imaging Solutions market categorized into Hospitals, R&D Centers, and Laboratories and Diagnostic Centers. The hospital segment will witness the largest share in the market in the forecast period. It is primarily due to the rise in chronic disease and the growing aging population across the world, along with the massive surge in patients’ volumes in hospitals.
Diagnostic centers segment will influence on account of the technological adoption by diagnostic centers for early detection of disease.
Based on geography, the global AI-Enabled Medical Imaging Solutions market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. North America estimated to occupy the lion’s market share by 2027, owing to the strong presence of AI in medical imaging vendors in these regions and financial aid by governments for technological research in the healthcare industry.
The Asia Pacific will be the fastest-growing segment due to the surge in the financial expenditure by the government on the healthcare industry and the fastest-growing economies.
Companies such as Microsoft Corporation, Samsung Electronics Co. Ltd., Arterys, Gauss Surgical, Enlitic Inc., Siemens Healthineers AG, IBM Corporation, Bay Labs, Inc., Qure.ai, Lunit Inc., Beijing Infervision Technology Co., Ltd., Blackford Analysis Limited, ContextVision AB, Fujifilm Holdings Corporation, Koninklijke Philips N.V., MIRADA MEDICAL LIMITED, Nuance Communications, Inc., and NVIDIA Corporation are the key players in the Global AI-Enabled Medical Imaging Solutions Market.