جاهز للتشغيل
جاهز للتشغيل
The use of artificial intelligence in medicine shows significant progress, becoming an integral part of disease diagnosis, such as interpreting imaging scans and detecting cancer. The FDA relies on over 1,600 medical devices that utilize AI technologies, expected to be approved by September 2026. However, questions remain about the safety of fully relying on these systems, as while some reduce human errors, they may also produce new mistakes—especially when there is over-dependence or excessive trust in their results. Studies indicate that AI performs well in specific tasks, such as screening for breast cancer and colonoscopy procedures, but generative language models are still not ready to make independent clinical decisions due to the risk of misinformation or bias. Research also shows that the data used for training can carry societal biases, impacting decision accuracy and increasing the likelihood of errors or biases when applied in different settings. Experts emphasize that the doctor should remain the ultimate decision-maker, with AI serving as a helpful tool that is continuously monitored. Ongoing evaluation of AI's benefits and risks is essential, along with training to understand the limits and importance of human-machine interaction in healthcare.
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