??Objective Achieved?? I’m excited to announce that my paper, “Artificial Intelligence (AI)-Based Simulators versus Simulated Patients in Undergraduate Programs: A Protocol for a Randomized Controlled Trial,” has been accepted by BMC Medical Education! ?? This research dives into the evolving world of #healthcaresimulation, comparing cutting-edge #AIbasedsimulators with traditional #Simulatedpatients. Our goal? To revolutionize how we train the next generation of healthcare professionals. ???? I want to take a moment to truly appreciate the invaluable feedback from the reviewers. There was a time when I saw reviewer comments as hurdles to overcome, but now I realize how their insights have strengthened this work in ways I couldn’t have achieved alone. Grateful for their contributions and for the collaboration that made this possible! The future of #AI in healthcare education is bright, and I’m thrilled to be part of this journey! ?? #HealthcareSimulation #AIInSimulation #BMCMedicalEducation #MedicalInnovation #FutureOfHealthcare #AIEducation #MedEd #PeerReview

How does AIBODY bring learning life? Through cutting-edge technology. Our platform brings learning to life with: ?? 50+ Multi-System Pathologies: Dive deep into a diverse range of conditions through our advanced simulations. ?? Cellular-Level Detail: Experience the intricate connection between physiology and clinical practice, gaining insights that go beyond textbook knowledge. ?? 132,000+ Real-Time Parameters: Adjustments in real-time create the world’s most sophisticated physiology platform, enhancing your understanding of complex medical scenarios. With AIBODY, we’re not just teaching medical science; we’re revolutionizing how it’s learned and practiced. Join us in shaping the future of medical education. #MedicalEducation #Innovation #AI #Healthcare #SimulationTechnology #LearningReimagined

#SIIMTraining's Introduction to Medical Digital Imaging On-Demand course explores various medical imaging modalities, covering operating principles, clinical applications, data considerations, and interpretive aspects. Students will learn skills to help them: + Identify common medical image types + Recognize & differentiate between X-ray and non-X-ray modalities + Estimate potential impact of common digital modalities on systems Earn 1 HR #SIIM IIP CE https://lnkd.in/dUFCEs7j

I recently observed artificial intelligence diagnosing a rare medical condition with remarkable speed and accuracy. This development is both promising and thought-provoking for the medical education field. Artificial intelligence is significantly impacting how we educate future physicians: ? Customized educational pathways ? Simulated patient interactions ? Immediate clinical decision analysis However, it is crucial to emphasize: Our role is to equip future doctors to collaborate effectively with AI, not to be superseded by it. The importance of quintessentially human abilities - empathy, analytical reasoning, and ethical judgment - is now more pronounced than ever. I invite discussion on strategies for preparing the next cohort of healthcare professionals to thrive in an AI-enhanced medical landscape. #MedicalEducation #AIinHealthcare

What do we mean by “medical visualization” and how can it overcome some of the complex challenges in the medical industry? Medical visualization refers to the use of advanced imaging and display technologies to visualize and analyze biological and medical data. It plays a crucial role in the medical industry across various applications to improve diagnosis, treatment, education, and research. Below is an infographic we prepared showing some of the key areas where visualization is utilized in the medical field: . . . #medicalvisualization #medicalimaging #surgicalplanning #anatomicaleducation #drugdiscovery #patienteducation #datavisualization

I'm happy to share that I completed the University of Glasgow's Biomedical Visualization course through Coursera! This course provided an excellent introduction to 3D modeling and virtual reality in both practical and theoretical ways, highlighting their significant impact on various medical fields. It's amazing how these tools improve our understanding and communication of complex biomedical concepts. #BiomedicalVisualization #3DModeling #VirtualReality #MedicalEducation #UniversityofGlasgow #Coursera

I'm thrilled to share that I've successfully developed a mathematical model for simulation training, focusing on stratifying medical errors. ?? Excited to announce that my groundbreaking idea and development in Medical Simulation have been published today! ?? "A MATHEMATICAL MODEL BASED ON STRATIFYING THE SEVERITY OF MEDICAL ERRORS FOR BUILDING SCENARIOS FOR CLINICAL CASES WITH BRANCHING". It all started back in the fall of 2021 when I conceptualized a mathematical model for constructing simulation training based on the severity stratification of medical errors. Since then, the journey has been filled with challenges – from initial tests and pilots with practicing doctors to overcoming obstacles like the war in Ukraine, and relocation. But throughout it all, I've remained committed to my vision, and continuously refining the model in collaboration with talented medical professionals. In the fall of 2023, I finally consolidated my experiences and embarked on the publication process. ClinCaseQuest is a simulation training based on the stratification of medical errors. This is the scientific basis for the development of cognitive branching in the Simulation Training Platform for medical education ClinCaseQuest. It's about feeling a medical error "To feel medical error", it's about learning from a medical error "Take a lesson from the medical error", but in a safe environment for the patient. This is proof of a theorem from an opposite, this is a new concept and philosophy of medical simulation training, this is about me, this is about ClinCaseQuest. https://lnkd.in/dvkyJxwj This is not just my journey; it's a testament to the vision behind ClinCaseQuest. Thank you to everyone who has been part of this incredible journey! ?? #ClinCaseQuest #MedicalSimulation #Innovation #MedTech #Healthcare #Publication #MedicalEducation

wrist Sphygmomanometer learning a biomedical device

Save the date! ?? This Thursday, Edward H. (Ted) Shortliffe, Chair Emeritus and Adjunct Professor at Columbia Department of Biomedical Informatics will give a talk titled "The Evolution of Biomedical Informatics and AI: Personal Reflections" in-person and on Zoom: https://lnkd.in/efdyQppw ?? Thursday, June 20 ? 12 - 1 p.m. ?? 100 College St, Floor 11, Room 1116 and on Zoom More than 50 years have passed in the evolution of biomedical informatics (BMI), including artificial intelligence in medicine (AIM). BMI is a vibrant research and development field that has made great progress, tracking the corresponding evolution of computer science, hardware technology, communications, and biomedicine.?Emerging from medical schools and computer science departments in its early years, BMI, including AIM, are now more visible and influential than ever before. This talk will briefly summarize some of that history, providing an update on the status of the field as we enter our second half-century. The inherent complexity of biomedicine and of clinical care necessitates that the field address issues of usability, workflow, transparency, safety, and the pursuit of persuasive results from formal clinical trials.?These requirements contribute to an ongoing research agenda that continues to require rigorous informatics education. Yale School of Medicine #ai #artificialintelligence #biomedicalinformatics #datascience #biomedicine #healthcare #healthdata #biotech #medicalai #aiinmedicine #stem #generativeai #ehr #computerscience #compsci #bioinformatics #informatics

I believe that focussing on clinical scenario-based learning to support application of theory to clinical practice, is essential for getting to grips with MRI scanning. Our Fundamental Skills in MRI Course provides Live, interactive training using the Corsmed MRI Simulator, chatrooms and polling amongst many other tried and tested methods. We also encourage continual long term learning by providing e-learning software access for all delegates. Access to the course tutors and other delegates during this time encourages sharing of information. If you/your team would like to gain knowledge and understanding from the following, please contact us! Equipment Technology and MRI Safety. Sequence Types and Image Weighting. Parameter selection/manipulation and impact on Image Quality/Scan Time. Optimising of Scan Technique Based on Image Appearances. Image Quality Measures and Artifacts. Imaging Technique Hints and Tips. Patient Preparation and Appropriate use of Contrast. Clinical Application and Anatomy and Common Pathologies: What to Look for and Impact on Imaging Practice. [email protected] www.imaginginnovated.co.uk #trainingtheworkforce #MRI #Courses