Global AI in Endoscopy Market Overview
In the healthcare industry, deep learning (DL), machine learning (ML), and artificial intelligence (Al) are the most prominent trends, especially in the endoscopy field. AI has the potential to improve the quality of endoscopy at all levels.
AI in endoscopy helps in better diagnosis; screening and enhanced detection. Advanced technologies such as AI in endoscopy are safer and more consistent and minimize the workload of surgeons.
Al is mostly used in two areas of endoscopy: computer-aided detection (CADe) and computer-aided diagnosis (CADX). Al has been able to” create an ML model that can determine the risk in patients experiencing upper gastrointestinal (GI) bleeding, confirm the presence of a specific GI condition, and specify the best course of therapy because of technological advancements.
Global AI in Endoscopy Market-Competitive Insights
On September 27, 2022, Iterative Scopes, a pioneer in precision medicine solutions for gastroenterology, announced that the FDA has authorized SKOUT for adult patients undergoing colorectal cancer monitoring via the 510(k) process. Utilizing state-of-the-art computer vision technology, SKOUT is a real-time computer-assisted polyp identification tool that identifies problematic tissue and provides endoscopists with prompt feedback.
On November 11, 2019, AI Medical Service, Inc. produced real-time endoscopic Al software, which is approved by the FDA, and analyzes endoscopy images to potentially diagnose stomach cancer.
Some of the Global AI in Endoscopy Market Include –
Global AI in Endoscopy Market – Growth Drivers
The market for AI in endoscopy is expanding significantly, and forecasts for the upcoming years point to a further increase. Major forces behind this expansion include:
Precision in Lesion identification: Artificial intelligence (AI) algorithms improve lesion identification accuracy during endoscopic exams, which is especially important for the early diagnosis of gastrointestinal malignancies.AI systems provide real-time decision assistance during endoscopic operations, assisting medical practitioners in spotting anomalies and coming to well-informed conclusions.
AI systems are quite effective in characterizing polyps and can differentiate between benign and possibly malignant tumors, which allows for more accurate treatment planning. In Endoscopic Imaging the use of AI in conjunction with endoscopic imaging technology improves treatment planning and diagnostic performance. Advances in Endoscopic Imaging include training and education for healthcare professionals, Combining AI with endoscopic imaging technology improves diagnostic capabilities and treatment plans. To properly use AI in endoscopy, healthcare personnel must get thorough training and instruction.
As technology advancements continue to transform the diagnosis and treatment of gastrointestinal disorders, the industry is poised for exponential growth. Artificial intelligence is becoming an essential tool for endoscopic treatments.
Global AI in Endoscopy Market-Restraints
The Al in Endoscopy market has certain obstacles despite its encouraging growth prospects:
Lack of Standardization and Regulatory Frameworks: The absence of established standards and regulatory frameworks in the emerging field of Al in endoscopic is impeding the broad use of Al-enabled endoscopic solutions.
Concerns about Data Privacy and Security: Since endoscopy depends so much on patient data, especially private medical information, it is essential to secure patient confidentiality and adhere to data protection laws.
High Implementation Costs: A substantial investment in training, infrastructure, and resources is needed for the deployment of Al-powered endoscopic devices and software. These technologies’ high costs could prevent them from being widely used, especially in healthcare settings with limited resources.
Global AI in Endoscopy Market-Opportunities
Advancements in Al algorithms and techniques, such as reinforcement learning and unsupervised learning, enhance efficiency and diagnostic capabilities in Al-powered systems. Integration with other diagnostic technologies like AR and VR can improve visualization and interpretation of endoscopic images.
Emerging markets offer growth opportunities for Al in Endoscopy due to increasing healthcare expenditure, infrastructure improvement, and diagnostic technology awareness. Strategic partnerships between Al technology providers, manufacturers, and healthcare institutions can accelerate the development and commercialization of Al-enabled endoscopy solutions.
Global AI in Endoscopy Market-Geographical Insights
The AI in Endoscopy market is experiencing significant growth in regions such as North America, Europe, and Asia Pacific. This growth is driven by factors such as robust healthcare infrastructure, high healthcare expenditure, well-established healthcare systems, and a growing burden of gastrointestinal diseases. The Latin American market is also witnessing growth due to improved healthcare infrastructure, increased expenditure, and demand for minimally invasive procedures. The Middle East and Africa are also adopting AI in Endoscopy. The market is expected to grow at a CAGR of 37.8% and reach US$ 738.9 million by 2031.
Global AI in the endoscopy market – a key development
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