Medtrics Lab’s Post

Artificial Intelligence is set to revolutionize medical education, transforming how we teach and learn, what is taught, to whom it is taught, and the cost of education itself. AI-driven adaptive learning platforms will personalize education, allowing students to progress at their own pace while virtual and augmented reality create immersive, hands-on training experiences. The curriculum will shift from rote memorization to critical thinking, ethical decision-making, and the effective use of AI in clinical practice. By democratizing access, AI will make education available to underserved regions and non-traditional learners, fostering interprofessional collaboration. Moreover, by automating tasks and reducing reliance on physical infrastructure, AI will drive down costs, making medical education more affordable and scalable than ever before. This shift will redefine the future of medical education, creating a smarter, more inclusive, and more efficient learning ecosystem. #AIInEducation #FutureOfLearning #MedicalEducationRevolution #AIInHealthcare #DigitalTransformation #VirtualLearning #ImmersiveEducation #AIForGood #GlobalEducationAccess #InnovationInMedicine

Stay ahead of the curve with #MedicalTeacher 📢 Latest Articles on AI in Health Professions Education! Educators and innovators - dive into the most recent articles on the intersection of artificial intelligence and Health Professions teaching: ➡️ AI's Role in Shaping the Future of Health Professions Education - Explore the transformative impact of AI on medical curricula and student learning experiences. ➡️ Implementing AI-Driven Simulations in Medical Training - Discover the advantages and practical applications of AI-powered simulations for clinical skills development. ➡️ Navigating Ethical Challenges of AI in Health Professions Education - Understand the ethical considerations and best practices for incorporating AI into teaching methods. ➡️ Real-World Success Stories: AI in Health Professions Schools - Read case studies highlighting successful implementations of AI tools in Health Professions education programs. Stay updated and enhance your teaching toolkit! 📚✨ #MedicalTeacher #AIinMedicine #MedicalTeaching #EduTech #InnovationInEducation Please feel free to share your thoughts and experiences on #AI in the comments! 👇 🔗 https://ow.ly/OtTK50SjCNz

Embracing the Future of Medical Education and AI Integration In an era where the medical syllabus and high-quality teaching are available online for no more than £1000/year, we find ourselves at a crossroads. This remarkable accessibility raises a fundamental question: Why do we still cling to the traditional university model? #HigherEd #OnlineLearning The conventional role of universities has been to guide us through essay writing and critical thinking. However, with the advent of AI, this paradigm is shifting. AI can not only write essays but also refine them into novel, sophisticated forms with a simple subscription service. #EdTech #AIinEducation As educators begin to leverage AI for grading, we’ll witness a new efficiency in academic assessments. The consistency and speed of AI grading could redefine our approach to education. #InnovationInTeaching #AcademicAssessment The remaining piece of the puzzle is laboratory work. What if we could integrate lab experiences into the duties of clinical staff at hospitals? It would not only enhance their skill set but also provide a welcome variety in their routine. #HealthcareEducation #ClinicalTraining Let’s not shy away from change; instead, let’s embrace it. The educational landscape is evolving, and we must evolve with it. The integration of AI in education is not just a possibility—it’s the reality knocking on our doors. #FutureOfLearning #EducationReform

The current reality of AI in Healthcare & Education: Seems like AI is being oversold as an instant administrative cure-all for teachers and healthcare workers. For instance, current narrative claims AI can grade papers and summarize clinical notes. But the reality is that, in the short term, it will create more work, not less. Physicians will need to spend hours verifying AI-generated notes. Teachers cross-check every AI-graded assignment. This isn't an insurmountable tech failure, it's the messy process of development. So instead of it being framed as, "here is your new time saving tool! You're welcome!" We need real incentives for professionals to engage: -Compensation for developmental testing -Protected time for tool refinement -Professional development credits -Meaningful input in product design Healthcare and education pros aren't just users, they're critical partners in building functional tools.

Recent discourse on artificial intelligence in healthcare education, notably highlighted by Jeppe Klitgaard Stricker's analysis, has prompted a literature search of the challenges and opportunities in this evolving landscape. Through a review of HPE literature to address the 𝘀𝗲𝘃𝗲𝗻 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗽𝗵𝗲𝗻𝗼𝗺𝗲𝗻𝗮 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝗱: 1. 𝗧𝗵𝗲 𝗽𝗵𝗲𝗻𝗼𝗺𝗲𝗻𝗼𝗻 𝗼𝗳 𝗜𝗻𝘁𝗲𝗹𝗹𝗲𝗰𝘁𝘂𝗮𝗹 𝗠𝗶𝗿𝗿𝗼𝗿𝗶𝗻𝗴 in Clinical Settings warrants particular attention, as it impacts the development of authentic clinical reasoning capabilities among healthcare professionals 2. 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗗𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝘆 𝗶𝗻 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 emerges as a significant concern, necessitating careful consideration of maintaining autonomous clinical judgment 3. 𝗧𝗵𝗲 𝗜𝗹𝗹𝘂𝘀𝗶𝗼𝗻 𝗼𝗳 𝗠𝗮𝘀𝘁𝗲𝗿𝘆 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 requires robust pedagogical frameworks to ensure deep, authentic learning 4. 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗧𝗲𝗮𝗺𝘀 presents both opportunities and challenges in maintaining effective human-centered care delivery 5. 𝗥𝗲𝗮𝗹𝗶𝘁𝘆-𝗣𝗿𝗼𝗺𝗽𝘁 𝗖𝗼𝗻𝗳𝘂𝘀𝗶𝗼𝗻 𝗶𝗻 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 highlights the imperative of bridging theoretical knowledge and practical application 6. 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗖𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗶𝗻 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗝𝘂𝗱𝗴𝗺𝗲𝗻𝘁 demands strategies for developing and maintaining clinical expertise alongside AI tools 7. 𝗔𝗜-𝗜𝗻𝗱𝘂𝗰𝗲𝗱 𝗣𝗲𝗿𝗳𝗲𝗰𝘁𝗶𝗼𝗻𝗶𝘀𝗺 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 necessitates careful consideration of realistic outcome expectations As an educator, I am undertaking a systematic investigation of these phenomena through a podcast. This academic endeavor aims to synthesize current scientific literature and provide solutions for healthcare educators and practitioners. Listen to the podcast prepared with Notebook LM: https://bit.ly/SPIHE [Time - 14:27] This is an ongoing scholarly initiative, and we welcome academic discourse and collaborative input as we continue to develop evidence-based frameworks for AI integration in healthcare education. #DentalEducation #AcademicMedicine #HealthcareEducation #ArtificialIntelligence #MedicalPedagogy #PharamacyEducation

Imagine secondary school students learning how AI can enhance healthcare delivery. Imagine secondary school students learning how to use Business Model Canvas. Imagine secondary school students interviewing medical doctors and pharmacists in order to build a tech based solution for healthcare powered by AI. These and many more are not hat we learned during the session with the secondary school students. Students need to see science principles at work and understand how to use it to solve real world problems. We must not place a restriction on students. Life used to start at 30 but now it starts at 14. When secondary school education is robust, then University education and life itself will be better of. We have to rebuilt science education in Nigeria yo make it pragmatic.

As #AI drives new efficiencies and breakthroughs in #healthcare, the question of how to prepare the next generation of #health practitioners has never been more urgent.    Our recent workshop "The Future of AI in Health & Life Sciences Education" served as an opportunity for leaders from industry and academia to explore strategies for teaching and upskilling around AI in a rapidly changing environment.   "What an exciting time for the future healthcare and life science professional," said Eugene Tunik, our director of AI + Health. "They'll be able to leverage technology and data to see the entirety of the patient before them like never before. Developing AI literacies in the health and life sciences will be core to that future."   Read key insights from our workshop focused on educating tomorrow's workforce to harness AI in #medicine here: https://bit.ly/40hZ4wT #SAIPH2024 #artificialintelligence #AIevents #AInews #generativeAI #genAI #lifesciences #education #research #tech #workshop

Two Texas universities are the first to offer a dual MD/MS in artificial intelligence dual degree – an acknowledgement of AI’s growing importance in healthcare.    The degree is offered by UT Health San Antonio and University College at the University of Texas at San Antonio. The program, which launched in 2022, is in recognition of the rising use of AI in healthcare, educators said. Currently, clinicians have limited input on the design of AI healthcare tools. But the more they understand AI the greater the say they will have in the development of tools and how they’re used, administrators said.    Read more in HealthLeaders: https://lnkd.in/gmrTHSaV I #HealthcareAI #AIHealthcare #HealthTech 

Great breakdown of a handful of the latest developments happening across Education <> AI. If you have other cool implementations or experiments that you think should be highlighted, please add in the comments.