According to an August 19 report by National Public Radio (NPR), the research was carried out at four clinics where doctors tested a system that reviewed live video and marked suspicious areas in real time.

When the software highlighted a region, doctors could check it immediately. The system was successful while in use, but the study also revealed an unintended effect.

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After relying on the tool, doctors’ ability to detect possible polyps fell from 28.4% before the trial to 22.4% once the AI was switched off. This means that detection rates dropped by about one-fifth when the automated help was removed.

The findings were published in The Lancet Gastroenterology and Hepatology.

Lead researcher Marcin Romańczyk, a gastroenterologist at H-T Medical Center in Tychy, said the results came as a surprise. He noted that many specialists were trained through textbooks and mentorship, but not in using advanced technology like AI, which is spreading through healthcare.

Romańczyk suggested that one possible reason for the drop is that clinicians may unconsciously wait for the system to mark a suspicious area, instead of carefully scanning the footage themselves.

Anthropic recently added a new option to certain Claude models that lets them close a chat in very limited cases. What does the feature include? Read the full story.

According to the report published on May 25, a developer stated that their team is half the size it was last year, but is still expected to produce the same amount of code, this time with the help of artificial intelligence (AI).

According to Amazon’s CEO, Andy Jassy, this technology helps businesses move faster and save money. In a recent message to shareholders, he said AI would play a key role in speeding up work, especially in areas like software development, where expectations are rising.

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Across the tech industry, developers are being asked to rely more on tools like Copilot, an AI assistant that suggests lines of code. A 2024 study by Microsoft and several universities found that using tools like this can increase a developer’s output by more than 25%.

For many companies, that kind of boost is a reason to expect more from smaller teams.

However, some developers have noted that their work now feels more repetitive and less thoughtful. Instead of carefully writing code, they find themselves reviewing and approving AI-generated suggestions. Some feel like their jobs are becoming more about speed than quality.

Microsoft recently announced an update for GitHub Copilot at the company’s Build 2025 event. What’s new? Read the full story.