2 Matching Annotations
  1. Oct 2025
    1. However, the integration of AI into medical and dental education is not without its challenges. There may be concerns about the loss of human touch and empathy in medical diagnoses and treatments, and there is a risk that students may become overly reliant on AI and neglect to develop critical thinking and problem-solving skills. Additionally, there may be challenges in ensuring the accuracy and bias-free operation of AI algorithms, which could lead to incorrect diagnoses or treatment plans.

      One concern is that students may start to become overly reliant on AI and fail to develop independent critical thinking skills. AI may not always be reliable or correct which could result bad. Although AI has it uses, there are setbacks as well that must be properly addressed in settings related to healthcare and education.

    2. One of the key ways that AI can help is by detecting and preventing errors in medical care. AI algorithms can be trained to analyse medical records, identifying errors or potential risks such as misdiagnoses, incorrect treatments, or adverse events. This information can be used to help doctors prevent similar errors from happening in the future.

      These sentences explain how AI can help enhance medical treatment by identifying and avoiding errors. Medical records can be examined by AI to find any mistakes such as an incorrect diagnosis or treatments. It can also help in detecting potential hazards before they develop into significant issues. AI also assists in making better choices and avoiding reoccurring errors. In order to improve healthcare accuracy, AI is supposed to operate with physicians rather than in place of them.