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ARTIFICIAL INTELLIGENCE

Revolutionizing Endoscopy with AI

As a result of the constant advances in technology, AI algorithms have been developed. It was because of the growing demand for enhanced machine performance. The human brain, unlike machines, is affected by stress, fatigue, lack of experience and stress. The artificial intelligence (AI), technology, is supposed to be able to compensate human limitations and eliminate human mistakes, while also allowing robots to have some autonomy and boosting efficiency. AI may be the most reliable option for treating an increasing number of patients. The global AI market is expected to be impacted by AI in the GI endoscopy. The AI technology can assist in making quick and accurate treatment decisions. AI can also be used to speed up endoscopic treatment, lower costs and simplify it.

AI in endoscopy 1024x668 1 1 1 - Revolutionizing Endoscopy with AI

AI assisted endoscopy relies on algorithms that imitate the brain’s functions. The algorithms respond to information that they learn and are fed when they were built. AI and other advanced technology have made it easier for surgeons to perform endoscopy and increased safety. AI/ML algorithms are primarily used to improve the following functions: identifying practical pathways, labeling and categorizing disorders of airways, removing smoke from surgery, and recognizing lesions and airway diameters.

AI can improve the efficiency of endoscopic procedures by improving consistency, precision and speed. AI also compensates for limitations in human skill and corrects mistakes made by humans. In endoscopy, AI is primarily used in computer-aided detection (CADe) and computer-aided diagnosis (CADx). AI technology advancements allow for a machine-learning (ML) system which can be used to assess the risk of upper GI (GI) disorders.

Market growth will be driven by the expanding use of AI in various medical fields

In the field of GI (gastrointestinal) endoscopy there is a lot of research being conducted. The use of AI is rapidly expanding across several fields of medicine. Convolutional neural network, a type of deep learning technique, is particularly poised to transform the area of GI endoscopy, comprising colonoscopy, capsule endoscopy (CE), and esophagogastroduodenoscopy (EGD). AI for EGD is used mainly to identify cancers, predict abnormal diagnoses and detect Helicobacter Pylori infections. Automated identification of bleeding spots, tumors, ulcers, and other small intestinal illnesses is being researched in CE.

A retrospective study design using still images has kept the majority of AI in GI endoscopy in preclinical stages. To improve the profession, prospective video studies will be needed. AI will be integrated into clinical routines and further developed.

Endoscopy market to benefit from an increase in patients with colorectal carcinoma

Around the globe, colorectal or colon cancer is increasing in prevalence. Colorectal cancer will account for over 2,000,000 cases in 2020. It is the third most common cancer worldwide. It is second in terms of the number of deaths caused by cancer, with about one million each year. It is true, even though screening techniques could reduce the number of deaths caused by this disease. The International Agency for Research on Cancer estimates that there will be over 3 million new cases of colorectal carcinoma every year in 2040. This represents a 56% increase in global disease burden. Preventive as well as curative health measures will be important. Colonoscopy, along with other treatment options and early detection can help cure colorectal carcinoma. A colonoscopy and minimally invasive surgery could be performed to eliminate the cancer if it is detected early.

AI-assisted colonoscopy also improves colonoscopy characterisation and polyp detection. Medtronic launched the “AI-Powered GI Genius module for Colonoscopy” in August 2022, which allows for improved colorectal carcinoma diagnosis. AI and the Endoscopy Market Between 2022 and 2030, it is expected to increase rapidly.

The endoscopy industry is driven by the excellent results of both diagnostic and therapy endoscopy. The major advances in healthcare are deep learning, machine learning, and artificial intelligence. AI can raise endoscopy standards at all levels. It will take more studies and research before the new technology can be implemented in clinical standards or adopted as standard practice. It is expected that AI will improve cancer detection, categorization and screening as well as monitoring. This, in turn, should drive the market. Companies are therefore developing new tactics to increase their market demand.

The Endoscopy Market is Expected to Grow Due to Strong Government Support and FDA Approvals

Adenomas, which endoscopists often fail to find during endoscopy (nearly 26% of them), are the leading cause of death from cancer in Europe and America. Due to this, many healthcare entrepreneurs create cutting-edge technology for endoscopic procedures. The FDA has approved SKOUT 510k for those undergoing colorectal carcinoma monitoring. This will take place in September 2022. Iterative Scopes is a leading provider of precision medicine for gastroenterology. In November 2018, AI Medical Service, Inc., one of the first real-time AI developers in endoscopic imaging, announced that their AI systems evaluated endoscopy pictures for possible stomach cancer. In December 2022, the International Medical Technology Corporation Olympus Corporation and Ministry of Internal Affairs and Communications of Japan launched a joint project. This initiative will also educate Vietnamese surgeons and perform a survey on AI diagnosis systems. These favorable regulations are expected to open the door for profitable endoscopy business opportunities.

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