Detection skills of colon cancer can weaken with AI, find research

The integration of artificial intelligence (AI) in the medical field continues to show promise, but a recent study has shed light on potential risks associated with its use.

European researchers conducted a study to examine how AI can impact the performance of endoscopists during colonoscopies. The study focused on four endoscopy centers in Poland that introduced AI tools for polyp detection in late 2021.

During the study, colonoscopies were randomly assigned to be performed with or without AI assistance. The researchers evaluated the quality of the colonoscopies by comparing the adenoma detection rate (ADR) before and after the implementation of AI.

The results, published in Lancet Gastroenterology and Hepatology, revealed a significant decrease in tumor detection rates when AI was used. Specifically, the tumor detection percentage dropped from 28.4% to 22.4% after exposure to AI.

Dr. Harvey Castro, an AI and healthcare specialist in Texas, highlighted the importance of this study, noting that even a small decrease in detection rates can have a significant impact on cancer outcomes. He emphasized the need to integrate AI wisely in medical practice to enhance detection and save lives.

While AI can be a powerful tool in improving healthcare, Castro stressed the importance of maintaining a balance between technology and human judgment. He noted that training, supervision, and intentional design are key to ensuring that AI strengthens clinicians rather than weakening their skills.

In conclusion, the study underscores the complex relationship between AI and medical practice. While AI has the potential to enhance detection and diagnosis, it is essential to approach its integration thoughtfully to ensure the best possible outcomes for patients.

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