Artificial intelligence (AI) is the imitation of human intelligence progressions by machines, mainly computer systems. Artificial intelligence has extensive applications in the healthcare sector. AI solutions assist healthcare providers in several aspects of patient care and administrative processes. Medical imaging can be defined as the diagnostic procedure that encompasses the formation of visual assistance and image representations of the human body and includes the monitoring of the execution and working of the organs of the human body.
Artificial intelligence primarily consists of two types, machine learning and robots. Machine learning comprises the recognition and application of the algorithm in computer systems for the interpretation of images, whereas robots assist doctors, patients, and operators in diagnostic procedures.
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The health industry is full of key innovators. Key market players operating in the AI in medical imaging market are closely working with healthcare startups and professionals to develop cost-effective and technologically advanced medical treatments. There is a rise in cross-industry partnerships and collaborations, which is aiding AI in medical imaging market. Firms working in the AI in medical imaging market are extensively investigating the potential benefits of AI in medical imaging and creating advanced solutions. Thus, several market players are engaged in signing partnerships to provide better healthcare solutions. For instance, Radiology Partners (RP), a leading U.S. company, formed a strategic alliance with Aidoc, the leading supplier of AI-based solutions for medical imaging, to provide best AI capabilities to health systems and hospitals and accelerate the implementation of AI as the standard of care in radiology.
Key players operating in the global AI in medical imaging market are Agfa Healthcare, Ada Health GmbH , Arterys, Bay Labs, Inc. (Caption Health Inc.), Babylon, BenevolentAI, Butterfly Network, Inc., EchoNous, Inc., Enlitic, Inc., Gauss Surgical, GE Healthcare, IBM Corporation, Lunit Inc., Microsoft Corporation, NVIDIA Corporation, Philips Healthcare, OrCam, Qure.ai, Siemens Healthineers AG, and Zebra Medical Vision.
AI in Medical Imaging: Final Thought
Advanced AI algorithm solutions are likely to distinguish themselves by helping in notable time saving in the formation of radiology reports as well as highlighting key findings. They can also conduct predictive analysis and processed tissue analysis of medical imaging scans that can be difficult with the naked eye. In addition, AI-based technologies provide specialists with several tools that help them to treat patients effectively. However, the AI in medical imaging market is in the nascent stage and thus, there might be some obstacles to overcome before AI becomes conventional in medical imaging.
