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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
An innovative medical device called the Intelligent Endoscopy Module uses artificial intelligence (AI) technology to improve the capabilities and effectiveness of endoscopic treatments.
Endoscopy is a minimally invasive medical treatment that uses a flexible tube with a camera attached, or endoscope, to inspect and view the body's internal organs and structures.Real-time image and video analysis is done by the Intelligent Endoscopy Module using AI algorithms and computer vision techniques.
It can help in the lesion diagnosis process, automatically select and highlight regions of interest, and enhance medical professionals' decision-making during the treatment.
The module seeks to enhance procedure effectiveness, increase diagnostic accuracy, and maybe lessen complications.By examining the visual information from the endoscope, the AI algorithms can spot potential problems like polyps, tumours, or ulcers.
In order to facilitate early discovery and diagnosis, it might draw the endoscopist's attention to certain areas.The module can improve the clarity and visibility of videos or photographs that were shot during the process. This function can help endoscopists find minor lesions or anomalies that can be hard to see with the unaided eye.
Endoscopy typically includes inserting a flexible or stiff tube with a light and a camera at its tip into the body through openings in the skin or through tiny incisions.
Healthcare practitioners can identify and treat a variety of illnesses thanks to the camera's ability to take photos or movies of the inside structures.
The Intelligent Endoscopy Module uses AI algorithms and computer vision techniques to advance endoscopy. It increases the endoscopists' abilities and raises the precision and effectiveness of diagnosis.
The Intelligent Endoscopy Module has the potential to transform endoscopic procedures by enhancing healthcare workers' abilities and enhancing patient outcomes.
It's crucial to keep in mind that the technology is still under development and that different healthcare environments may have different levels of clinical adoption and efficacy.
The global intelligent endoscopy module market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
The GI GeniusTM cognitive endoscopy module has received de novo clearance in the United States from the U.S. Food and Drug Administration (FDA), according to Medtronic plc (NYSE:MDT), the world leader in medical technology.
The only commercially available computer-aided detection (CADe) system that uses artificial intelligence (AI) to recognise colorectal polyps is the GI Genius module.
Today, Cosmo Pharmaceuticals NV (SIX: COPN) announced that the FDA had approved the GI GeniusTM intelligent endoscopy system, a ground-breaking tool for colonoscopy lesion detection.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |