A study recently published in The Lancet Gastroenterology and Hepatology has raised deep concerns about the negative impact of artificial intelligence (AI) on doctors' skills.
The results show that regular use of AI in colon endoscopy can reduce the diagnosis ability of medical experts by up to 20%.
Previously, the risk of losing skills due to AI abuse was only a hypothetical level. But this study has provided real-life data, reinforcing concerns that continuous support from AI could reduce doctors' ability to detect signs of disease on their own.
Dr. Catherin Menon, University of Hertfordshire (UK), said that the impact of this reduced skill can spread to many other medical fields.
Catherin Menon warned that if an AI day is interrupted by cyber attacks or technical problems, experts who are used to relying on technology can work less effectively than before.
Although AI helps increase the rate of tumor detection, Dr. Menon still emphasizes that doctors need to maintain traditional diagnostic skills. Otherwise, the treatment results for patients are at risk of decreasing compared to the period before AI was applied.
The observation study was conducted on 1,400 cases of entericollinopathy. The results show that a few months after applying conventional AI, the rate of pre-cancer tumor detection of experienced doctors in cases without AI support decreased by 20%.
This is the first study to record a clear negative impact of AI on professional capacity, rather than stopping at theoretical research.
The group of authors called for more in-depth research to find solutions to prevent loss of skills, while still taking advantage of the benefits of AI.
colon endoscopy is an important technique to help detect and remove benign tumors and prevent bowel cancer.
AI has proven effective in increasing detection rates, promoting widespread application. However, if not well controlled, excessive dependence can create professional loopholes, directly affecting the patient's health.
