Doctors Could Soon Become Reliant on AI, Study Finds

AI is becoming a regular part of medical practice, helping doctors identify common health conditions through routine screenings. However, new research suggests that some specialists could start depending too heavily on the technology. 

The Polish study, which focused on gastroenterologists performing colonoscopies, found that once doctors got used to working with AI support, their ability to independently identify polyps and other irregularities declined by roughly 20%. 

The results, which were published in The Lancet Gastroenterology & Hepatology journal, raise questions about whether even experienced professionals can lose focus or skills after only a short exposure to AI assistance. 

Lead researcher Dr. Marcin Romańczyk said the outcome was unexpected. He explained that while AI assistance improved detection in real time, once the software was turned off, the specialists missed more potential issues compared to before they had access to the technology. 

Not everyone, however, agrees that the study proves specialists are losing essential abilities. Johan Hulleman, a Manchester University (UK) researcher, pointed out that three months is a short timeframe compared with decades of training. He suggested that differences in patient groups, such as age, might explain some of the decline instead of skill loss. 

The study involved four clinics testing AI software that analyzes live video during colonoscopies. Whenever the software detected something unusual, such as a possible polyp, it marked the area with a green outline so the clinician could see it. 

While the system performed well, further analysis revealed that once doctors got used to these prompts, their detection rate dropped significantly if the tool was turned off. According to the data, their success rate in spotting potential polyps dropped from 28.4 percent to 22.4 percent without the AI. 

Romańczyk suggested that this may be because clinicians subconsciously waited for the green box to appear instead of relying on their own observation. 

Other research supports this concern. For example, a study on mammogram screening found that non-specialists did worse when they knew AI support was available. Hulleman, who led that study, refers to this as a “safety-net effect.” Still, he remains unconvinced that the decline in performance is as serious as the numbers suggest, emphasizing that many unknowns remain, such as how many polyps were truly significant. 

Romańczyk agrees that more work is needed. He supports AI as a useful aid but stresses the importance of studying its influence on real-world practice. “These systems are already here,” he said, “but we need stronger data on how they change the way we work.” 

On a positive note, these studies highlight how helpful AI systems are in the medical field, and this utility could explain why entities like Thumzup Media Corp. (NASDAQ: TZUP) are leveraging AI in the services that they offer to their clients. Just as the typewriters of yester-decades gave way to computers, so will the traditional systems give way to AI in ways that drastically reduce opportunities for human error. 

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