Teaching skills to medical students with Artificial intelligence - To produce better Quality of Medical professionals Formulated by Dr.T.V.Rao MD

Teaching skills to medical students with Artificial intelligence - To produce better Quality of Medical professionals

Formulated by Dr.T.V.Rao MD

There is a lot of pressure put on higher education by governments, policy-makers, employers, parents, and graduates when it comes to effectively preparing students for the world of work.

Challenges with rapid expansion of medical schools and colleges - lack of skilled teachers and some students WHO lack aptitude and degrees as source of making money leading to Under-prepared for clinical practice,

However, ironically, medical graduates still feel under prepared for clinical practice, which may be due to heavily theoretical teaching and learning programmes.

The perception of "poor quality" in medical graduates can stem from several factors, including limited access to quality education, inadequate training in specific areas like clinical skills, and disparities in resources and opportunities across different medical institutions

Teaching skills to medical students effectively involves a blend of demonstration, practice, feedback, and a structured approach. It's crucial to create a learning environment that fosters active participation and encourages reflection on experiences. Integrating theory with practice and breaking down complex skills into smaller, manageable steps are key

AI can provide immediate and personalized feedback on the student's history-taking, examination techniques, and decision-making, guiding them toward best practices.

Some platforms even use voice recognition and natural language processing to make the interaction feel even more realistic.

2. Intelligent Tutoring Systems (ITS):

AI can analyse a student's learning patterns, identify their strengths and weaknesses, and then tailor the educational content and pace to their individual needs. These systems can offer personalized reading materials, practice exercises, and even suggest optimal study strategies. Think of it as having a dedicated AI tutor available 24/7 to help students grasp challenging concepts and reinforce their understanding.

3. AI for Objective Structured Clinical Examinations (OSCEs):

AI can be used to standardize and enhance the objectivity of OSCEs, which are crucial for assessing clinical skills. AI tools can analyse student interactions with standardized patients (both real and AI-powered), evaluating their communication skills, examination techniques, and clinical reasoning based on pre-defined criteria.

This can lead to more consistent and fair assessments.

4. Enhancing Medical Imaging Education:

AI algorithms can be invaluable in helping students learn to interpret medical images like X-rays, MRIs, and CT scans. AI can highlight key anatomical structures and point out subtle abnormalities that a student might initially miss, accelerating their learning process. Furthermore, AI can generate a wide variety of sample images showcasing different conditions, exposing students to a broader range of visual presentations.

5. AI for Personalized Learning Paths and Resource Curation:

With the ever-expanding body of medical knowledge, AI can help students navigate this vast landscape by curating learning resources tailored to their specific learning goals and areas of interest. AI algorithms can analyse learning materials and recommend the most relevant articles, videos, and other resources based on a student's progress and knowledge gaps.

6. AI-Driven Feedback and Assessment Tools:

Beyond OSCEs, AI can assist in grading assignments, providing detailed feedback on written work, and even analysing student performance in online quizzes to identify areas needing further attention. This frees up faculty time, allowing them to focus on more in-depth teaching and mentorship.

7. AI for Curriculum Development and Analysis: AI can even play a role in optimizing the medical curriculum itself. By analyzing student performance data and identifying areas where students consistently struggle, AI can help educators refine their teaching methods and curriculum content.

MEDICAL ETHICS AND HUMAN RIGHTS To keep in mind Medical Ethics and human concern and not preparing robots to care the patients it's also important to keep in mind some of the challenges and ethical considerations that come with integrating AI into medical education, such as data privacy, algorithmic bias, and the need for careful validation of AI-generated content. It's all about finding the right balance to enhance learning without losing the crucial human aspirations

What all happening we cannot change many issues intelligent and bright teachers and students still can put the matters in place in the interest of saving the Medical profession for benefit of humans who is in need of medical care?

NO TOOL NO MODE OF TRAINING CAN MATCH A COMPETENT TEACHERS BUT THINK WHEN WE HAVE FEW TO TRAIN MANY IN THE CHANGING WORLD OF MANY CONFLICTS ????

No conflict of Interest

References 1 Medical graduates are employable, but are they prepared? Justin Sung 23 April 2022ects of medical training to teach skills to medical students with artificial intelligence University world news

2 Gemini AI resources an suggestions

3 Trends in Medical education and Medical research Web based resources

4 Challenges and opportunities in Medical education free to use resource

Formulated by Dr.T.V.Rao MD