A webinar was conducted on 1th April 2023 as part of the MEdEd matrix faculty development training, on "Uses of AI in Medical Teaching and Clinical Practice". This was facilitated by Prof.Dr.Rehan Ahmed Khan. There were wonderful tips regarding the inculcation of Artificial Intelligence into Teaching an Clinical practices of Medical Education. A recording link is available here for access of the webinar as part of our matrix.
AI is transforming the way we approach medical education and clinical practice. In teaching, AI-based platforms are being used to enhance the learning experience for students, providing them with personalized learning paths and feedback. AI-powered virtual patients can simulate real-world scenarios, giving students the opportunity to develop their diagnostic and decision-making skills in a safe environment. Additionally, AI-based assessment tools can analyze student performance data, providing educators with insights into individual learning needs and improving overall educational outcomes.
In clinical practice, AI is helping healthcare providers improve patient outcomes and streamline workflows. AI-powered diagnostic tools can quickly and accurately identify potential diseases, enabling healthcare providers to make more informed decisions about treatment plans. AI-based clinical decision support systems can analyze patient data, providing healthcare providers with personalized treatment recommendations based on the latest medical research. Additionally, AI-powered medical imaging analysis tools can detect abnormalities that might be missed by human experts, improving the accuracy and efficiency of diagnosis and treatment.
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