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The Medicine & Machine Learning Podcast (MaML)
27 minutes | Sep 14, 2022
Christopher Tignanelli - AI and Acute Care
Dr. Tignanelli is the scientific director for the Program for Clinical Artificial Intelligence at the UMN Center for Learning Health Systems Science, the director of UMN Center for Quality Outcomes, and the chair of the Health Information Technology (HIT) Committee for the American College of Surgeons. Dr. Tignanelli's work serving COVID-19 patients during the pandemic and advancing AI research earned him the title of “Health Care Hero” by the Minneapolis/St. Paul Business Journal in 2021. Follow us on Twitter @TheMaMLPodcast Guest: Christopher Tignanelli, @cjtign Host: Madeline Ahern, @maddie_ahern Producer: Kirsi Oldenburg Artwork: Saurin Kantesaria Music: Caligula - Windows96: Used with artist permission Notes: 01:00 tell us about yourself 04:00 critical care/acute care 06:30 COVID acute care 10:00 computer vision 14:00 rib fracture model 15:00 external vs internal validity 19:00 future of AI in medicine
85 minutes | Sep 3, 2022
Chenyang Xu - AI Entrepreneurship in the US, China, and EU
Dr. Chenyang Xu is currently the President and Co-Chairman of PVmed Technologies, Co-Founding Partner of Silicon Valley Future Academy, Managing Partner of Brightway Future Capital, and an Advisory Board Member for the Johns Hopkins University BME department and formerly Advisory Board Member for the UC Berkeley EECS Department. He was formerly the Chief Business Officer of RSP Systems and the GM and CTO of Siemens Technology to Business (TTB) at Berkeley where he led the Siemens’s North America’s technology startup partnership and early-stage investment practice out of the Silicon Valley. As former head of Siemens Interventional Imaging Program, he led an R&D team that developed over 10 new computer vision-based medical imaging products (e.g. CartoMerge) and has achieved billion dollar scale new revenue stream. Follow us on Twitter! @TheMaMLPodcast Guest: Chenyang Xu Host: David Wu / Twitter: @davidjhwu Producer: Aaron Schumacher / Twitter: @a_schu95 Artwork & Video: Saurin Kantesaria Music: Caligula - Windows96. Used with Artist Permission. 01:00 - tell us about your path 11:00 - the internet + grad school in the 90s 22:00 - “career thinking” advice 30:30 - Siemens VC - looking at 10,000 startups 37:00 - PVMed - AI cancer treatment company in China 43:30 - AI startup ecosystem in China vs. US vs. Europe 56:30 - Potential downsides of implementing AI too quickly? 1:02:10 - Future of AI in medicine in 10-20 yrs? 1:13:00 - “Minority Report”-like AI to predict falls? 1:16:30 - Closing Questions
44 minutes | Aug 19, 2022
Steven Lin - AI in Family Medicine
Steven Lin, M.D. is the service chief of family medicine for Stanford Health Care and the Founder and Executive director for the Stanford Healthcare AI Applied Research Team. Follow us on Twitter! @TheMaMLPodcast Host: Madeline Ahern / Twitter: @maddie_ahern Producer: Kirsi Oldenburg Artwork & Video: Saurin Kantesaria Music: Caligula - Windows96. Used with Artist Permission.
56 minutes | Aug 5, 2022
Akilesh Bapu - DeepScribe
Akilesh Bapu is co-founder and CEO of DeepScribe, an AI-powered medical scribe that passively records and understands a patient’s visit, generates a clinical note, and then seamlessly inputs it into the electronic medical record. Follow us on Twitter! @TheMaMLPodcast Guest: Akilesh Bapu / Twitter: @AkileshBapu Host: David Wu / Twitter: @davidjhwu Producer: Aaron Schumacher / Twitter: @a_schu95 Artwork & Video: Saurin Kantesaria Music: Caligula - Windows96. Used with Artist Permission. 1:10 - Pathway towards the intersection of medicine and Machine Learning 9:45 - What specialties are best fitted for DeepScribe implementation 11:55 - How does DeepScribe find relevant information for the clinical encounter 14:45 - The creation process of the DeepScribe hardware. 18:10 - DeepScribe’s ability to discern fragments of the SOAP note 19:45 - DeepScribe and billing concerns 24:25 - Scaling the human scribe capacity behind DeepScribe 29:45 - Implementing predictive models with DeepScribe 32:00 - Voice diagnostics 33:40 - Patient privacy and DeepScribe 38:55 - Vision for deep scribe 40:20 - Google Care Studio EHR mention 42:00 - Physician Burnout 42:35 - Advice for future founders 44:15 - What brings you joy? 45:35 - What are your greatest fears? 47:00 - What gives your life meaning? 50:25 - How do medical students think about the future of healthcare
52 minutes | Jul 21, 2022
Nigam Shah - The Learning Health System
Dr. Nigam Shah is Professor of Medicine (Biomedical Informatics) at Stanford Medicine and Chief Data Scientist at Stanford Healthcare. Dr Shah’s research focuses on combining machine learning and prior knowledge in medical ontologies to enable use cases of the learning health system. Follow us on Twitter! @TheMaMLPodcast Guest: Nigam Shah / Twitter: @DrNigam Host: David Wu / Twitter: @davidjhwu Producer: Aaron Schumacher / Twitter: @a_schu95 Artwork & Video: Saurin Kantesaria Music: Caligula - Windows96. Used with Artist Permission. TIMESTAMPS 0:45 tell us about your path and how you came to the intersection of MaML 4:15 what is the thesis of your work? 09:10 where is AI on the gartner hype curve 13:30 the equation of medicine - if risk > threshold, take action. Examples: GreenButton Consultation service + advanced care planning 27:00 how has mentorship shaped your path? 32:00 having fun in projects 34:00 “what makes a project fun?” 37:00 closing questions - what do you expect is the future of AI? 43:00 personal questions - what brings you joy?
66 minutes | Jul 9, 2022
Quynh Nguyen - Addressing Health Disparities using Big Data
Dr. Quynh Nguyen is an assistant professor of epidemiology and biostatistics at the University of Maryland School of Public Health. She received her PhD and MSPH in Epidemiology from University of North Carolina at Chapel Hill, Gillings School of Global Public Health. Dr. Nguyen is a social epidemiologist focusing on contextual and economic factors as they relate to health. She joined us to talk about her projects that leverage technology and big data sources to investigate and address health disparities. Host: Raeesa Kabir Producer: Kirsi Oldenburg Artwork: Saurin Kantesaria Follow us on Twitter: @TheMaMLPodcast Have a speaker you would like to see on our podcast? Contact us at email@example.com
43 minutes | Jun 23, 2022
Vineeta Agarwala - Venture Capital, a16z, and the MaML space
Dr. Vineeta Agarwala is a general partner at a16z, physician, adjunct clinical professor at Stanford, previously at Google Ventures, Flatiron Health, having received her MD/PhD at Harvard Medical School and the Broad Institute. Many thanks to Ashlea Kosikowski from 1AB Media for making this episode happen! Follow us on twitter: @TheMaMLPodcast Host: David JH Wu @davidjhwu Producer: Aaron Schumacher @a_schu95 Design: Saurin Kantesaria
45 minutes | Jun 8, 2022
Harald Kittler - DermaChallenge and AI for Medical Education
Dr. Harald Kittler is a Professor in the Department of Dermatology at the Medical University of Vienna, in Vienna, Austria. Dr. Kittler is the founder of Dermachallenge, a 2018 startup which uses the principles of gamification to teach and train health professionals. As a dermatologist and dermatopathologist, Dr. Kittler has a unique insight into how future physicians might be trained in his profession. Enjoy some gamification of dermatology by joining the over 5,000 players at Dermachallenge! Host: Madeline Ahern Producer: Kirsi Oldenburg Artwork & Video: Saurin Kantesaria Music: Caligula - Windows96 (Used with artist permission) Have a speaker you would like to see on our podcast? Contact us at firstname.lastname@example.org
55 minutes | May 26, 2022
Pat Walters and Patrick Riley - AI for Drug Discovery at Relay Therapeutics
Pat Walters is the Chief Data Officer and Patrick Riley is the senior VP of AI from Relay Therapeutics in Cambridge, MA. In this episode we discuss Relay's innovative approach to drug discovery, and how new developments in AI and computational modeling have accelerated this process.
44 minutes | May 12, 2022
Matt Diamond - FDA & the Digital Health Center of Excellence
Matt Diamond, MD, PhD, is Chief Medical Director of the FDA’s Digital Health Center of Excellence. Dr. Diamond provides leadership for digital health policy development and implementation for emerging technologies including artificial intelligence. Prior to joining the Agency, Dr. Diamond served on leadership teams of large and small technology companies, including as Chief Medical Officer at Nokia, and as Medical Director at Fossil Group. He earned his MD and PhD (biophysics) from the Mount Sinai School of Medicine, and is board certified in rehabilitation medicine and sports medicine and certified in medical acupuncture. TIMESTAMPS 1:15 tell us about your path 5:15 what’s a typical day like 8:26 how would you define a digital health technology? 10:50 regulation of medical devices is based on their intended use 13:00 are AI technologies fundamentally different from a stethoscope 19:30 talking about new FDA guidelines - Digital Health Technologies for Remote Data Acquisition in Clinical Investigations 27:00 collaborative communities (join one!) 30:00 FDA & relationships with companies 37:00 what do you think the future of AI in medicine will look like? 39:55 what advice would you give yourself Contact us! email@example.com Host: David Wu / Twitter: @davidjhwu Producer: Aaron Schumacher / Twitter: @a_schu95 Artwork & Video: Saurin Kantesaria Music: Caligula - Windows96. Used with Artist Permission.
62 minutes | Apr 29, 2022
Joy Kincaid - Digital Health for Cancer Care
Joy Kincaid is our guest today from OncoHealth, which has just launched their new digital telehealth platform supporting cancer patients and their families. Joy was formerly VP of Population Health at Optum. 1:06 “So our first question is.. tell us about your path” 7:25 talking about Optum 11:50 OncoHealth 13:48 Iris Digital Health platform 37:35 Talking about the Healthcare Industry 45:56 future of digital medicine in 10-20 years? 48:40 “the movement of the Tao is returning” 51:45 advice to recent grads 53:30 intentional networking 57:50 what gives your life meaning? Host: David Wu / Twitter: @davidjhwu Producer: Aaron Schumacher / Twitter: @a_schu95 Artwork & Video: Saurin Kantesaria
49 minutes | Apr 13, 2022
M. Elizabeth Ross - AI Uncovers the Genetics of Spina Bifida
Description: Margaret Elizabeth Ross, M.D., Ph.D. is a Nathan Cummings professor in neurology and director of the Center for Neurogenetics at the Feil Family Brain and Mind Research Institute at Weill Cornell Medicine in New York. To learn more, check out the Ross Lab website! 1:30 Introduction 4:00 An Intro to AI 10:15 What are Neural Tube Defects? 16:30 Publications from the Ross Lab 21:00 The Ross Lab's Use of AI 30:00 Clinical Applications of Genetic Research 31:00 Spina Bifida Outcomes 32:00 Health Equity in Genetics 36:40 What's Next? 42:00 What's the future of AI in Medicine? 43:40 Advice for your Past Self 45:00 Advice for Medical Student/Physicians 48:00 Final Words of Wisdom Intro Music - Windows96 - Caligula (song used with permission from artist). Host: Madeline Ahern Producer: Melanie Bussan Cover Art: Saurin Kantesaria Follow us on twitter @themamlpodcast Email us! firstname.lastname@example.org Looking for industry sponsors!
62 minutes | Mar 30, 2022
Neal Khosla - Using AI + Telemedicine to Serve Medicine's Traditionally Underserved
Description: Neal Khosla is the founder and CEO of Curai Health, a digital health startup making big waves in the primary care space. To learn more, please visit curaihealth.com. 1:00 Tell us about your path and how you came to the intersection of medicine and machine learning 13:15 - Most common patient demographic served 15:45 - Story of how Curai began. + history of medicine 29:00 - Can med + AI reason better than us? + vision for Curai 40:30 - When should patients go into clinic? 44:40 How has regulation affected you 47:00 - How has mentorship shaped your path 53:20 - 3 questions i want to ask everyone What are you most afraid of? What do you believe in? What gives you strength? 58:00- What do you want from the universe? Intro Music - Windows96 - Caligula (song used with permission from artist). Host: David Wu @davidjhwu Producer: Aaron Schumacher @a_schu95 Cover Art: Saurin Kantesaria Follow us on twitter @themamlpodcast Email us! email@example.com Looking for industry sponsors!
2 minutes | Mar 27, 2022
Season 2 Teaser - DWu's Freestyle
"Because Life needs Art to explicate its meaning, and Art needs Technology to keep its edge bleeding."
52 minutes | Nov 21, 2021
Yvonne Lui - Machine Learning, MRI, and Collaboration with Industry
Yvonne Lui, MD, is the associate chair of radiology of NYU Langone Health. Today we discuss FastMRI, the interesting collaboration between NYU and Facebook AI. We explore how machine learning can enhance image reconstruction following an MRI scan. 0:00 Background on MRI 2:36 Intersection of Medicine and Machine Learning for Dr. Lui 6:40 Current Research Projects 11:40 MRI partnership with Facebook AI & MRI Image reconstruction 17:12 Models for research in clinical trials 21:30 Why Facebook is interested in this problem 24:15 Further information on the Machine Learning MRI reconstruction 27:45 Academic & Industry Collaboration 35:00 Hesitancy in collaborating with industry 37:05 What areas of AI are Dr. Lui interested in 38:45 Future of AI and Medicine 40:30 Radiology and Automation 43:00 Dr. Lui's balance between clinical work, research, and administrative work 48:20 What advice would you give to yourself early on in your career. Host: David Wu @davidjhwu Producer: Aaron Schumacher @a_schu95 Cover Art: Saurin Kantesaria
58 minutes | Nov 5, 2021
David Lindsay - Building a Successful AI Health Company During MD/PhD Training
David Lindsay is the CEO of Oncora, a data, documentation, and personalized care solution for specialty oncology. Oncora is currently implemented in many major hospital systems, including Northwell Health, MD Anderson, Mass General Children's, and Scripps Health. David founded the company during his MD/Ph.D. training at the University of Pennsylvania. 0:00 Introduction 1:15 David Lindsay tells his story 5:00 Initial Idea for a company bringing AI to oncology 7:35 When did David decide to start the company 10:25 Balancing being a CEO and a medical student at the same time 12:30 The early challenges in starting the company 14:30 The initial offerings of the company 17:50 Obtaining initial data sets 20:25 Initial funding for the company 24:45 A use case to predict hospitalization 27:10 How are these AI technologies regulated 30:00 How do clients pay for this technology 32:45 Tracking quality metrics 36:00 Integrating with an EHR 37:30 Further development of the product 41:35 Next steps for Oncora 43:55 Industry vs Academia 47:30 Next for AI in 10 - 20 years 48:20 Advice for yourself 20 years ago 50:00 Advice for students in industry 53:30 David’s plans for the future Host: David Wu @davidjhwu Producer: Aaron Schumacher @a_schu95 Cover Art: Saurin Kantesaria
43 minutes | Oct 22, 2021
Carmen Aguirre - Creating NFT Art to Raise Money for Mental Health and Pay Off Med School
Carmen Aguirre is a 4th-year medical student, visual jockey (VJ), and NFT artist. Here we sit down and discover what pushes her to continue developing her passions for medicine and artificial intelligence. You can find more info about her work here: https://linktr.ee/Neurite 0:00 Alex gives some background on NFT's 2:50 Background and Initial Involvement with NFT's 5:50 Seeing stigma around mental health conditions 9:10 Building a community around NFT's 9:40 The process of creating NFT's 13:20 Working for Ariana Grande 15:10 Working as a DJ and in music while in medical school 21:10 "Work is my life" - how Carmen balances the commitments 22:10 Time management 24:35 How a creative outlet benefited Carmen's mental health 27:25 Raising Money for mental health charities through NFT's 30:30 Going from animation to the drop process 34:00 Return of live music, graduating medical school and residency 36:45 The average medical student compared to the average 24-year old musician 39:15 How will technology change medicine in 10-20 years 41:00 Advice you would have given yourself going into your 20's Interviewer: David Wu Producer: Aaron Schumacher Art: Saurin Kantesaria
45 minutes | Oct 8, 2021
Shannon Haymond and Christopher McCudden - A.I. and the Clinical Laboratory
In our first ever two-interviewee episode we welcome Doctors Shannon Haymond and Christopher McCudden. Dr. Haymond is the Vice Chair for Computational Pathology and Director of Mass Spectrometry at Lurie Children’s hospital of Chicago and an Associate Professor of Pathology at Northwestern University Feinberg School of Medicine. Dr. McCudden is the Vice Chair for the Department of Pathology & Laboratory Medicine at the University of Ottawa and a Clinical Biochemist in the Division of Biochemistry at The Ottawa Hospital. They are co-authors of "Rise of the Machines: Artificial Intelligence and the Clinical Laboratory." This article details the potential uses for artificial intelligence within the clinical laboratory. From newborn screening and inborn errors of metabolism to toxicology screens and everything in between, this article not only provides insight into the future of artificial intelligence, but also a peek into the clinical laboratory. In this interview, we talk about the many paths to understanding and working with machine learning, from Dr. Haymond who is classically trained, to Dr. McCudden, who taught himself "R." We discuss the use of mass spectrometry, genomics screenings, and other current laboratory techniques and how they might be aided by artificial intelligence. We hope that this interview gives you a comprehensive look into the world of laboratory medicine that is at the heart of all healthcare systems. Thank you and enjoy! 1:37 What are Clinical Laboratories? 3:20 Breaking up with Excel - Dr. Haymond’s Journey 5:49 All Specialties use the Lab 7:40 Learning “R” - Dr. McCudden’s Journey 11:31 Clinical Mass Spectrometry 15:45 Newborn Screening and Genetic Testing 17:41 Clinical Biochemistry 21:56 Artificial General, Narrow, and Super Intelligence 23:40 AI in Genomics 29:55 Open Source or Proprietary? 32:33 Future of AI In the Clinical Lab 38:50 Advice to Listeners
76 minutes | Sep 24, 2021
Shanen Boettcher - Technology, AI, and Spirituality
Shanen Boettcher is a former general manager at Microsoft, product manager at Netscape, and now a PhD student at the University of Saint Andrews currently studying AI Ethics and Spirituality. Shanen was recently featured in a New York Times Article titled, "Can Silicon Valley Find God?" He is a pioneer in this field and deftly explores two very disparate topics to deeper probe the pressing questions of our generation. In this interview we discuss how artificial intelligence can facilitate positive conversations about faith, the impact of faith/spirituality on health, as well as other interesting topics like the study of world religions and spiritual texts. We close with some advice for individuals looking to get involved in this sort of work. 1:20 Introduction and Background 2:55 Why study world religions? 5:50 Looking back on the days at Microsoft 7:20 The research that led to a New York Times article 11:55 Should AI expose people to their existing religious beliefs or provide new perspectives from other religions. 17:00 Where does this research go from here? 20:10 Do interactions with AI have an impact on people’s religious beliefs? 27:18 Use of algorithms for answering existential questions 30:00 How can this research help people? 37:10 Preventing religious bias in AI systems 40:20 Will technology bring us closer or further from our spirituality? 49:55 What should AI say when you ask existential questions? 52:55 Does the source of the voice affect an individual's interpretation of the answer? 1:02:50 Advice for those in their 20’s 1:07:30 Do we need religion going forward? 1:13:45 A favorite spiritual text
56 minutes | Sep 10, 2021
Jakub Tolar - Medical Education and Machine Learning
Dr. Jakub Tolar is the Dean of the University of Minnesota Medical School and is a Distinguished McKnight Professor in the Department of Pediatrics, Blood and Marrow Transplant & Cellular Therapy. He is the Vice President for Clinical Affairs at the University of Minnesota, Board Chair for University of Minnesota Physicians and co-leader of M Health Fairview. We have come to know him not only as a researcher and dean, but as a passionate advocate who is putting artificial intelligence at the forefront of academic medicine. 1:00 MaML @ UMN 2:08 Tools to Alleviate Human Suffering 4:00 The Brain Machine 6:56 How do we know things are real? 9:00 Serving Minnesotans 10:19 Meet the Dean 16:48 Rare Genetic Disorders and ML 18:14 Mori et al. Article (see citation) 19:00 Medical Errors 20:45 AI in Medical Education (see citation) 24:25 Mistakes of Modern Living 24:50 Antiquity and Modernity 30:35 Data Ownership 32:38 The EHR Conundrum 37:29 Technological Liberation 39:15 Epidermolysis bullosa 47:23 Dean Tolar's Advice 51:22 Future of AI in Medicine 54:50 Make Journaling a Part of Your Day! Mori, J., Kaji, S., Kawai, H. et al. Assessment of dysplasia in bone marrow smear with convolutional neural network. Sci Rep 10, 14734 (2020). https://doi.org/10.1038/s41598-020-71752-x Lentz A, Siy JO, Carraccio C. AI-ssessment: Towards Assessment As a Sociotechnical System for Learning. Acad Med. 2021;96(7S):S87-S88. doi:10.1097/ACM.0000000000004104 Interviewer: Madeline Ahern Producer: Melanie Bussan Art: Melanie Bussan Follow us on Twitter: https://twitter.com/TheMaMLPodcast?s=20
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