The Center For Medical Simulation podcast

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

6 dni temu1:14:43

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1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying math that powers modern machine learning to help everyone grasp this technology impacting our lives, even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

The Center for Medical Simulation

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DJ Simulationistas… Sup? is the flagship podcast of the Center for Medical Simulation in Boston, Massachusetts. Janice Palaganas and Dan Raemer, CMS faculty and thought leaders in the field of healthcare simulation, discuss the pressing issues in the field, interview expert guests, tell jokes, and dissemble on a variety of topics. Subscribe today for a new episode every week! Available on iTunes, Soundcloud, or wherever podcast babies come from. Founded in 1993, the Center for Medical Simulation was one of the world's first healthcare simulation centers and continues to be a global leader in the field. Simulation training at CMS gives healthcare providers a new and enlightening perspective on how to handle real medical situations. Through high-fidelity scenarios that simulate genuine crisis management situations, the CMS experience can open new chapters in the level of healthcare quality that participants provide. Find out more and apply for CMS simulation workshops at www.harvardmedsim.org.

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#Science #Book Club #Center For Medical Simulation

The Center for Medical Simulation

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Readiness Planning: Go beyond “buy-in” to achieve curricular success and front-line performance 33:33

8 weeks temu33:33

33:33

This CMS Grand Rounds video is a companion discussion to our newly published research article, "Readiness planning: how to go beyond “buy-in” to achieve curricular success and front-line performance" published in Advances in Simulation (https://advancesinsimulation.biomedce.... Join us at #IMSH2025 in Orlando for workshops from our faculty team on Readiness Planning, or visit www.harvardmedsim.org for additional training opportunities! Abstract from Advances in Simulation: "Simulation program staff and leadership often struggle to partner with front-line healthcare workers, their managers, and health system leaders. Simulation-based learning programs are too often seen as burdensome add-ons rather than essential mechanisms supporting clinical workforce readiness. Healthcare system leaders grappling with declining morale, economic pressure, and too few qualified staff often don’t see how simulation can help them, and we simulation program leaders can’t seem to bridge this gap. Without clear guidance from front-line clinicians and leaders, the challenge of building and maintaining sustainably relevant simulation offerings can seem overwhelming. We argue that three blind spots have limited our ability to see the path to collaborations that support front-line workforce readiness: We wrongly assume that our rigor in designing and delivering programs will lead to front-line participant engagement and positive impact, we overestimate the existence of shared priorities, mindsets, and expertise with our would-be partners, and we contribute to building a façade of superficial education compliance that distracts from vital skill development. How do we design simulation-based training programs that are valued, supported, and sustained by key partners over time? (1) By seeing ourselves as partners first and designers second; (2) by using a boundary spanning design process that shifts the primary psychological ownership of training outcomes to our partners; and (3) by focusing this shared design process on workforce readiness for the situations that our healthcare partners care about most. Drawing on lessons from more than 800 readiness plans developed by participants in our courses and the authors’ successes and mistakes in partnering with healthcare teams for front-line readiness, we introduce the concepts, commitments, and practices of “readiness planning” along with three detailed examples of readiness planning in action."…

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Book Club Ep. 013: Curious: The Desire to Know and Why Your Future Depends on It (Leslie) 40:30

24 weeks temu40:30

40:30

In this CMS Book Club, a Faculty/Fellows panel compares notes from two perspectives on education and information finding, based on their reading of "Curious: The Desire to Know and Why Your Future Depends on It" by Ian Leslie.

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Book Club Ep. 012: Tribal Leadership: Leveraging Natural Groups to Build a Thriving Organization 49:54

33 weeks temu49:54

49:54

This month, the CMS Book Club discusses "Tribal Leadership: Leveraging Natural Groups to Build a Thriving Organization." CMS works closely with healthcare organizations to help improve culture via conversations, which aligns with the thesis of this book, which is that how we talk to one another is a primary driver of culture in an organization. Can every organization achieve a top-level culture? How do you navigate moving between different work settings (floors, professions, hospitals) with drastically different work cultures? How do you protect yourself from toxic culture while still trying to make things better? How can teams, sports, and labor dynamics inform what we do to make work better for our people? www.harvardmedsim.org…

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The Future and History of Simulation in Morocco | Reflections on HTIC 2024 in Fès 33:00

40 weeks temu33:00

33:00

Professor Mohammed Mouhaoui joins Lon Setnik and James Lipshaw from the Center for Medical Simulation to discuss the history of the HTIC simulation in Morocco. Lon visited the Moroccan Simulation Society in Fès in 2024 as a speaker and shares his experience meeting Prof. Mouhaoui and with the Moroccan sim community.…

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Book Club Ep. 011: Right Kind of Wrong: The Science of Failing Well (Amy Edmondson) 50:22

43 weeks temu50:22

50:22

Join the reconvened Center for Medical Simulation Book Club as we discuss Amy Edmondson's excellent "Right Kind of Wrong: The Science of Failing Well." Featuring Roxane Gardner, Grace Ng, Jenny Rudolph, Chris Roussin, Lon Setnik, Laura Gay Majerus, James Lipshaw, Henrique Arantes, Hannah Lawn, Melissa White, Saqib Dara, and Lia Cruz. In this episode: A mildly spicy conversation around using outcomes to determine if we've failed. When should we use the retrospect-oscope to determine whether we did a good job? Does it matter more that we land the jump or that we took the right steps to set it up? Two obvious lessons learned from the new era of college sports: You need to a) develop your people over time and then b) pay them enough that they stay.…

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Brief Debriefings #014: New Perspectives on Teaching & Learning 17:10

47 weeks temu17:10

17:10

In this week's Brief Debriefing, past and current participants in the Center for Medical Simulation's Healthcare Simulation Essentials course (https://harvardmedsim.org/course/healthcare-simulation-essentials-design-and-debriefing/) reflect on how the course has changed their approaches to partnership building and teaching in their own organizations. Hosted by James Lipshaw, Center for Medical Simulation, and featuring Melissa White, Hannah Lawn, and Gabriella Hakim.…

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Brief Debriefings #013: Onboarding Non-Clinical Teams into Simulation 16:19

49 weeks temu16:19

16:19

Not every simulation center has a readiness plan in place for onboarding new simulation staff, particularly those without clinical experience. At CMS, we begin by having our new staff participate as learners in our weeklong Healthcare Simulation Essentials course, immersing them in our teaching and debriefing strategies. In this week's Brief Debriefing, we're speaking with Jenny Bourque and Sam Huang, respectively our new Education Coordinator and Simulation Technician, to learn from their perspective and experience as newcomers to simulation but experts in their own fields at the end of their 5 day course. Enjoy!…

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SimFails #016: Not So Co-Debriefing 14:59

2 years temu14:59

14:59

What to do when your debriefing gets dragged off-track by someone who was supposed to be on your side? Join us this week for more SimFails... and Other Conversations from the Sim Sofa.

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Grand Rounds | Longitudinal Prebriefing for In-Situ Simulation 28:36

2 years temu28:36

28:36

This CMS Grand Rounds features Susan Eller, Komal Bajaj, and Jenny Rudolph, moderated by James Lipshaw. The speakers discuss the article "Leading change in practice: how "longitudinal prebriefing" nurtures and sustains in situ simulation programs," written by authors Stephanie Barwick, Sarah Janssens, and today's three speakers. Article Link: https://pubmed.ncbi.nlm.nih.gov/36681827/ More from CMS: https://harvardmedsim.org/resources/…

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SimFails #015: ESPs Gone Rogue 11:14

2 years temu11:14

11:14

Didn't preprogram the mannequin or fully brief your team? Now your patient's vitals are going haywire and the Embedded Simulation participants are in full improv mode? Join us for what to do next and next time in this weeks "SimFails."

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Grand Rounds | Teaching, Coaching, or Debriefing with Good Judgment 47:45

2 years temu47:45

47:45

Center for Medical Simulation Grand Rounds: Teaching, Coaching, or Debriefing with Good Judgment: A Roadmap for Implementing With Good Judgment Across the SimZones. Featuring Jenny Rudolph, PhD, Mary Fey, PhD, and Kate Morse, PhD. Visit www.harvardmedsim.org/resources for more CMS Grand Rounds podcasts!…

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SimFails #014: "Please Hold for Technical Difficulties" 15:02

2 years temu15:02

15:02

"Please Hold for Technical Difficulties": Accidental monitor arrhythmia, mannequin head on fire, powerpoint on the fritz... What do you do when a technical problem threatens to derail your simulation or your debriefing?

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SimFails #013: Zoom Exhaustion 16:59

2 years temu16:59

16:59

Has anyone other than Janice Palaganas ever attempted to take two Zoom meetings simultaneously? Zoom Exhaustion and other crises in multitasking this week on "SimFails."

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SimFails #012: No Content Expertise? 14:30

2 years temu14:30

14:30

What happens when you realize halfway through a debriefing when you realize you don't know enough about the topic you are trying to teach? Join Janice Palaganas, Kirsty Freeman, and Sacha Muller-Botti for more SimFails!

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SimFails #011: Making Participants Cry 16:17

2 years temu16:17

16:17

SimFails returns to fail again! Janice Palaganas, Kirsty Freeman, and Sacha Muller-Botti discuss this week: what happens when your sim is too real for your participants? How do you recover?

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