NeoMINDAI’s Post

As #AI marches ahead in healthcare, some centers are investing significantly in their infrastructure and collaborations to support model development, application, and evaluation. Breaking down silos among clinical care, basic science, data science, IT, and healthcare data management is essential for the success of these centers. However, the approaches to achieving this vary widely. It will require significant financial investment: Mount Sinai Health System recently opened the Hamilton and Amabel James Center for Artificial Intelligence and Human Health, backed by a $100 million investment. This highlights the level of commitment needed to build robust AI ecosystems (https://lnkd.in/ghH_y-XC). It will require forward thinking: Washington University School of Medicine in St. Louis and BJC Health System have launched the joint Center for Health AI (https://lnkd.in/gXFwiGFt) incorporating opportunities for medical residents and students to gain skills in AI-driven care delivery. Integrating AI education into medical training is a key step forward. It requires collaboration across disciplines: The Department of Biomedical Informatics (DBMI) at Vanderbilt University Medical Center has launched its center for health Artificial Intelligence (AI) – ADVANCE (AI Discovery and Vigilance to Accelerate Innovation and Clinical Excellence). This center, Co-directed by Peter Embí, M.D., M.S. and Brad Malin (https://lnkd.in/gja4fcra) emphasizes the need to break down silos among clinical care, basic science, and data science. Centers like these set a standard for interdisciplinary teamwork. It may require collaboration between large healthcare systems and academic/scientific institutions with significant resources: Hartford HealthCare has launched The Center for AI Innovation in Healthcare and was created through collaboration with University of Oxford and Massachusetts Institute of Technology (https://lnkd.in/gZRGgRSi). Bringing together such institutions with significant technological resources and healthcare systems may be an effective model-- leveraging economies of scale (in this case technology know how and clinical care know how). The Google and Mayo Clinic partnership to advance generative AI applications in healthcare represents another promising model.(https://lnkd.in/gD4gfmcu). It will be fascinating to see which of these models thrives, the lessons learned, and how they shape the future of AI in healthcare. What do you think will drive the most successful outcomes? #UsingWhatWeHaveBetter

As we begin 2025, we're taking a moment to reflect on where we began seven years ago and, more recently, on all the progress we made in 2024! This year-in-review message from AIMI Center Director Curtis Langlotz recaps our organization's evolution, plus 2024 highlights, including: - Expansion of our AI-ready clinical datasets - Launch of a pilot program for commercial dataset use - Research teams funded in collaboration with Stanford Institute for Human-Centered Artificial Intelligence (HAI) - Booming AI + Health meeting attendance, and more! Dr. Langlotz's message also discusses our current strategic planning effort, supported by the Dean's office at Stanford University School of Medicine. "We see this planning initiative as an opportunity to build an adaptive organization that continues to support the strengths of AI and health activities across campus," he explains Read the full letter here: https://lnkd.in/e2zEpCAw #StanfordAIMI #AIInMedicine #EthicalAI #AIResearch #ClinicalDatasets #StanfordMed

1. The University of Texas has established the Center for Computational Medicine to integrate AI into healthcare. 2. Charles Taylor, inventor of HeartFlow, has been appointed to lead the center. 3. HeartFlow is the first widely used AI technology approved by the FDA for diagnosing heart disease non-invasively. 4. Taylor will create tools to model disease progression and personalize care, while also helping researchers and startups. 5. He aims to train future doctors in the use of AI in medicine. 6. Dr. Claudia Lucchinetti highlighted the center as a significant advancement for health care in Texas and beyond. 7. The university has existing resources, including the fastest academic supercomputer and other specialized centers. 8. Taylor will hold a joint position at both the Dell Medical School and the Oden Institute, a first for the Oden Institute. 9. Taylor expressed enthusiasm about Austin's innovative environment, likening it to the spirit of Silicon Valley. 10. He anticipates faculty collaboration on AI applications in clinical settings and aims to be a mentor for implementing ideas. 11. Taylor envisions the emergence of new technology companies affiliated with the University of Texas in the next five years.

Delve into the transformative role of artificial intelligence in healthcare with Stanford Medicine's comprehensive exploration, as featured in their third 2023 issue. Discover how AI is revolutionizing medical diagnostics, surgical accuracy, and pediatric healthcare. The edition highlights the critical need for ethical AI practices within clinical environments, and offers insights from leading data scientists and innovative applications that are setting the stage for future advancements in medicine. Check out the link below to learn more. #AIinHealthcare #StanfordMedicine #FutureOfMedicine #HealthTech #MedicalInnovations https://lnkd.in/gcjfTW6r

🔍🤖💡 Join us for an enlightening journey from AI to Advocacy with Dr. Suresh K. Bhavnani, Professor of Biomedical Informatics, University of Texas Medical Branch; University of Texas, Health Science Center in Houston The Tecnológico de Monterrey's Institute for the Future of Education invites you to dive into a keynote presentation by Dr. Suresh K. Bhavnani on “From Artificial Intelligence to Advocacy: My Educational Journey into Policy Translation”. Date & Time: April 26th at 12:00 pm MTY time Unlock the potential of AI in healthcare policy-making and explore how the AI-policy gap can be bridged for a significant impact on patient care. Dr. Bhavnani, an esteemed Professor of Biomedical Informatics, will share valuable insights into using interpretable AI to identify social determinants of health within the 'All of Us' dataset and its implications on healthcare policies in the US. Key Takeaways: Discover how interpretable AI methods can classify subtypes of social determinants of health. Gain insights from Dr. Bhavnani’s experience in translating AI research into actionable healthcare policies. Understand the AI method characteristics that facilitate effective policy translation. Learn about the next steps in Dr. Bhavnani's mission to merge the worlds of AI and policy-making. Dr. Bhavnani brings a wealth of knowledge, with a Ph.D. in Computational Design and Human-Computer Interaction from Carnegie Mellon University and numerous distinguished awards. His leadership at the DIVA Lab at UTMB has contributed to groundbreaking research supported by NIH, CDC, and PCORI. 🔗 Join the Zoom Meeting: https://lnkd.in/eRMu-3gT This session will be moderated by Dr. Rasikh Tariq, and is brought to you in collaboration with the Challenge-Based Research Project “Complex Thinking Education for All (CTE4A): A Digital Hub and School for Lifelong Learners”. Don’t miss this opportunity to bridge the gap between AI and policy-making for a better future in healthcare! #AI #HealthcarePolicy #BiomedicalInformatics #UTMB #VisualAnalytics #PolicyTranslation #PublicHealth #ArtificialIntelligence #EducationalJourney #TecdeMonterrey

The use of artificial intelligence (AI) in health care has seen remarkable growth in the past 5 years. A new Review from @LancetDigitalH explores the potential of AI to improve care management, clinical decision-making efficiency, and more: hubs.li/Q030Hj_r0

Staque and GMU Launch Thumbay-Staque AI Lab for Healthcare Global leader in artificial intelligence, quantum computing, and advanced technology solutions, Staque entered a strategic Memorandum of Understanding with Thumbay Group's Gulf Medical University and its Thumbay College of Management and Artificial Intelligence in Healthcare. News: https://qrcd.org/7j5d Dr. Muhammad Ali Khan, CEO of Staque #ArtificialIntelligence #MemorandumofUnderstanding #globaladvancements #cuttingedgetechnologies #healthcareinnovation

This month’s Young Professionals’ Corner is by @Harshal Singh Chauhan. Read the article here: ⤵️ https://buff.ly/3lelNnC “As I prepare to embark on my PhD journey in Health Informatics, I am eager to focus on Data Analytics, Healthcare Interoperability, and Artificial Intelligence. My long-term goal is to contribute to academia, driving improvements in patient outcomes through innovative research and gaining industry experience in the healthcare sector.During my recent experience at the Emory Health AI Bias Summer School, I gained valuable insights into the role of artificial intelligence (AI) in healthcare, specifically in identifying and addressing bias in AI algorithms. One of the studies that deeply resonated with me was about AI recognition of patient race in medical imaging. This research underscored the potential risks AI systems pose in exacerbating existing racial disparities in healthcare. It also highlighted the need for developers, regulators, and users to critically assess AI model outcomes to ensure they don’t unintentionally perpetuate bias. For those interested, I recommend the paper published in The Lancet Digital Health, titled AI Recognition of Patient Race in Medical Imaging: A Modeling Study. ” #MDHIMSS #youngprofessionals #AI #healthcare

[ Research & Teaching Excellence | HKUST Spearheads Four Large AI Models to Revolutionize Healthcare ] Could you imagine a future where Healthcare is revolutionized by AI assistance? In a groundbreaking initiative, HKUST has unveiled four AI-driven models poised to transform the medical and healthcare fields. These AI models can assist both general and specialist medical practitioners in diagnosing and prognosing up to 30 types of cancers and diseases, with some achieving accuracy comparable to that of medical experts with five years of experience or more. Supported by the University’s new AI supercomputing facility, which offers robust computing power, these large AI models surpass many existing systems due to their foundation on extensive data sets and novel machine training strategies. Prof. CHEN Hao, Assistant Professor in the Department of Computer Science and Engineering and project lead, said that one model processed over 160 million images across 32 cancer types for pathological diagnostic tasks. Discover more: https://lnkd.in/g_b47FBD... 🔁 Repost from HKUST #HKUST #AIinHealthcare #MedicalInnovation #AIModels #CancerDiagnosis #PathologyAI #MedDr #XAIM #PrecisionMedicine #FutureOfHealthcare

𝐌𝐨𝐮𝐧𝐭 𝐒𝐢𝐧𝐚𝐢 𝐭𝐨 𝐥𝐚𝐮𝐧𝐜𝐡 𝐜𝐞𝐧𝐭𝐞𝐫 𝐝𝐞𝐝𝐢𝐜𝐚𝐭𝐞𝐝 𝐭𝐨 𝐀𝐈, 𝐩𝐫𝐞𝐜𝐢𝐬𝐢𝐨𝐧 𝐦𝐞𝐝𝐢𝐜𝐢𝐧𝐞 The Mount Sinai Hospital has opened the doors of its new $100m AI research center in Manhattan, the Hamilton and Amabel James Center for AI and Human Health. The new building will initially house 40 principal investigators and 250 graduate students, postdoctoral fellows, computer scientists and support staff, a press release by the organization said. The health system seems keen to develop algorithms for internal use to improve clinical operations. The system has created many proprietary AI systems, including for hospital admission and identification of patients with malnutrition, NutriScan AI, for which it won a Hearst Health Award in 2024. So-called homegrown AI is not regulated by the federal government. What are your thoughts on this? https://lnkd.in/emKdFeU5 Read more here! 👇