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    1. This information can help patients better understand their health and make informed decisions about their care. Another important application of AI in healthcare is remote monitoring. With AI-powered remote monitoring systems, patients can have their vital signs tracked and monitored, alerting healthcare providers to any potential issues. This can lead to earlier intervention and improved patient outcomes, as well as reducing the need for in-person visits to healthcare facilities.

      This paragraph talks about AI and how it can help patients better understand their own health and have them involved in their own care. With the help of AI patients can make more educated decisions about their care and understand their current state of health. It also mentions how AI-powered remote monitoring systems can detect and track a patient's vital signs to alert a healthcare provider when there is a issue. This can result in better outcomes and earlier intervention, and also less of a need for in person patient visits, which helps increase access to care. This is important because it talks about how AI helps patients take a more active role in their own health management while also helping healthcare providers. This comes to show how technology can improve patient and provider communication while also having fast responses to medical emergencies and preventative treatment.

      Dave, M., & Patel, N. (2023). Artificial intelligence in healthcare and education. British Dental Journal, 234(10), 761–764. https://doi.org/10.1038/s41415-023-5845-2

    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. Another way AI can be used is through clinical decision support. AI algorithms can be designed to provide doctors with real-time guidance and recommendations based on patient data, helping them to make informed decisions and reducing the risk of errors. This kind of technology can greatly benefit doctors who are facing complex cases and require quick access to relevant information.

      This paragraph talks about how AI can really help in increasing patient safety in relation to medical errors. The paragraph talks about how AI algorithms can analyze medical records and identify the situation, including misdiagnosis, incorrect treatment, or other threats, so that healthcare providers do not repeat errors and the quality of care improves. It also talks about AI in the way of it being a clinical decision support tool, because of this it can provide real time guidance and recommendations specific to the patients data. This can be really helpful for doctors that are handling difficult cases because they can be guided towards better decisions using data more effectively and efficiently. This is important because it talks about how AI can be used in providing patient safety in healthcare while showing the effectiveness of technology in helping human judgement to improve medical decision making and reduce medical errors.

      Dave, M., & Patel, N. (2023). Artificial intelligence in healthcare and education. British Dental Journal, 234(10), 761–764. https://doi.org/10.1038/s41415-023-5845-2