Use of AI in medical diagnosis

Artificial intelligence (AI) provides precious tools to help diagnose diseases. Doctors can use AI in the medical diagnosis to help their decision -making and rationalize the process. As the use of AI in the diagnosis of health care increases, it becomes important to test, assess and monitor its effectiveness.
The path to the implementation of new technologies, procedures or processes at OSF Healthcare is guided by OSF innovation. The performance improvement team (PI) collaborates with internal and external stakeholders to identify and prioritize opportunities to introduce new and innovative solutions. Once the solution is evaluated through the discovery process, the team works with internal experts and operational leaders to validate the opportunity by applying OSF data to understand the potential impact.
More and more of these opportunities involve the use of AI in health care. The PI team has recently collaborated with the gastroenterologist Omar Khokhar, MD, to pilot GI Genius, an intelligent endoscopy module approved by the FDA using in-depth learning algorithms to improve polyp detection during colonoscopies. GI Genius is currently used by OSF suppliers in a six -month pilot program at the Eastland Medical Plaza Surgicenter in Bloomington, Illinois.
GI GENIUS uses in -depth learning algorithms and real -time data, to allow doctors to detect and process colorectal polyps by improved visualization. The AI tool was built with a large library of images from previous colonoscopies. This database is included in the module and connected to the doctor’s endoscopy tools, which allows him to review colonoscopy images in real time during the procedure. This technology supervises the endoscopist’s screen with a green box to highlight suspicious polyps, allowing doctors to make more enlightened withdrawal decisions.
Although the use of AI in medical diagnosis can be an excellent support tool, it does not replace the expertise of the very formed eye of a supplier. “In this case, it really helps the clinician as an additional support,” said Dr. Khokhar. “It does not take control of the scope. He does not decide anything for me or someone else who uses it. In the end, it is up to me to determine what is identified.”
Advantages of AI in medical imaging
Coloscopies are important for the prevention of colorectal cancer. Early polyp detection is the key. The adenoma detection rate (ADR) is a key measure used to assess the quality of the practice of an endoscopist. It is defined as the percentage of patients aged 50 and more undergoing their first detection colonoscopy which have one or more precancerous polyps detected.
Research shows that for each increase in one percent of ADR, the risk of colorectal cancer decreases by three percent. Medtronic, the creator of GI engineering, found that the use of the module can increase the ADR by 14%. During the first month of the OSF driver, the PI team reported an increase of 5.8% of the ADR.
“I think if something is there, it helps to catch precancerous lesions in a more effective way, it is worth examining,” said Dr. Khokhar. “If we can find something that could potentially lead to cancer, we have our two eyeballs to find it, but if we have a database that analyzes this image in real time also to their research, why not use it?”
Role of OSF innovation
The PI team, which is part of the OSF Innovation, helps doctors like Khokhar to implement new tools like Gi Genius.
“This pilot and the validation process that preceded it are a truly tangible example of our OSF innovation ecosystem which meets to meet the needs of those on the front line,” said Julie Tenkenschuh, director of performance improvement. “As a performance improvement team, we are always delighted with the opportunity to work directly with our clinicians to identify and implement new tools that can support excellent care to generate better results for patients.”
Pilots are small controlled change tests that help inform logistics, learn new ideas, prove value and discover opportunities in new technologies and services. In the case of GI GENIUS, once the pilot is finished, the PI team will work with OSF leaders to determine whether the desired results have been obtained and will assess the potential for the deployment of this technology throughout the ministry.
While AI continues to help doctors in their work, its role in improving diagnostic accuracy and improving patient results is becoming more and more precious. By testing and validating these tools, OSF ensures that they benefit both patients and providers. This opens the way to wider use and better health care provision.
Last update: August 13, 2024
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