Artificial intelligence is playing an increasingly important role in the medical field, even extending to procedures like colonoscopies. Dr. Joe Frasca and his team at RUSH University Medical Center are utilizing a computer system called “GI Genius” to assist in detecting polyps during the procedure. This AI-powered system analyzes the images on the screen and highlights areas that require closer examination, providing an additional tool for medical professionals. Frasca sees little downside to this AI assistance, but acknowledges that it should not replace human expertise.
The implementation of AI in the medical field goes beyond endoscopy suites. The artificial intelligence healthcare market is predicted to reach a value of $11 billion in 2021 and $187 billion in 2030. However, experts like Dr. Marshall Chin from the University of Chicago School of Medicine are concerned about potential drawbacks. One danger highlighted by Chin is the risk of exacerbating existing racial disparities in medicine. He refers to a study that revealed biased algorithms leading to disadvantaged healthcare access for Black individuals. To address these concerns, Chin calls for transparency in the development and implementation of AI algorithms.
Chin acknowledges that the lack of clear standards and regulations in AI poses a challenge. He emphasizes the need for collaboration between various stakeholders, including private industry, government, patients, communities, medical professionals, and algorithm creators, to ensure the responsible and ethical use of AI in healthcare. Meanwhile, Chin also urges individuals to inquire about the use of AI in their healthcare decisions and voice any concerns they may have.
In conclusion, AI is making significant advancements in the medical field, assisting healthcare professionals in various procedures. However, it is important to address the risks and challenges associated with AI, such as potential bias and disparities. Transparency and collaboration between different stakeholders are crucial to ensuring the responsible and equitable implementation of AI in healthcare.