Dendritic Health AI的动态

Join us at MEDICRES AI 2024 for a visionary session with Burcu Bi?er. 'WHERE DO THE REAL LEADERSHIP OPPORTUNITIES LIE FOR AI AND MEDICAL EDUCATION: 2024 NEW AND OLD KNOWLEDGE: FIRST PEOPLE'S HEALTH AND AI' explores the intersection of cutting-edge AI technology with the rich wisdom of traditional practices in healthcare. This session promises to chart a course for future leaders in healthcare, highlighting pathways to integrate innovative solutions with ancestral knowledge for the betterment of First People's health. Join Us Now: www.medicres.ai #MedicReSAI #medicresai2024 #artificialintelligence

Join us at MEDICRES AI 2024 for a visionary session with Burcu Bi?er. 'WHERE DO THE REAL LEADERSHIP OPPORTUNITIES LIE FOR AI AND MEDICAL EDUCATION: 2024 NEW AND OLD KNOWLEDGE: FIRST PEOPLE'S HEALTH AND AI' explores the intersection of cutting-edge AI technology with the rich wisdom of traditional practices in healthcare. This session promises to chart a course for future leaders in healthcare, highlighting pathways to integrate innovative solutions with ancestral knowledge for the betterment of First People's health. Join Us Now: www.medicres.ai #MedicReSAI #medicresai2024 #artificialintelligence

"Achieving success with [AI in healthcare] requires a thoughtful approach, because in the intricate world of healthcare, where precision and performance can mean the difference between life and death, the adoption of AI is akin to crafting the perfect culinary masterpiece. Electronic health records, genomics data, insights from social and community-based sources, claims data, operational, and financial data?provide the essential raw materials. However, data alone is insufficient; it’s the equivalent of a chef having the finest ingredients but lacking culinary expertise. To harness the full potential of AI,?a skilled team of advanced analytics and data scientists?is crucial." ______ Hear more from Eric Thrailkill, Decode Health Executive Advisor, as he shares his thoughts on the necessary components to implement a successful AI strategy in the healthcare vertical. This work was originally published on Workweek, with contributions from Blake Madden, Adam Silverman MD, FACP & Lauren Lambert Hatcher #healthcareanalytics #healthcareinnovation #aiinhealthcare #digitalhealth #healthtech #artificialintelligence #machinelearning #healthcareAI #predicitiveanalytics

Clinician-in-the-Loop ML is coming to AMIA 2024! I'm thrilled to announce that our work, titled "Beyond off-the-shelf Machine Learning: case for clinician-in-the-loop", has been accepted as a poster presentation at the AMIA (American Medical Informatics Association) Informatics Summit in Boston next March! Together with my dear colleague Pietro Arina, MD, PhD(c), we are exploring the exciting potential of collaborative efforts between clinicians and data scientists, moving beyond the limitations of "low-code" or "no-code" solutions for AI implementation. We believe that true innovation in healthcare AI lies in leveraging the combined expertise of both clinical and technical minds. By actively involving clinicians throughout the ML modeling process, we can ensure that the resulting algorithms are not only accurate and efficient, but also deeply attuned to the nuances of real-world clinical practice. I'm incredibly excited to share our findings with the AMIA community and engage in discussions about the future of clinician-driven AI development. If you're passionate about using technology to improve patient care, then come meet us in Boston! See you there! #AMIA2024 #ClinicianInTheLoop #AIinHealthcare #MachineLearning #Collaboration #HealthcareInnovation #Boston #DataScience #MedTech

?? I'm thrilled to announce the publication of our latest paper, "Empowering Community Clinical Triage through Innovative Data-Driven Machine Learning," in MDPI! ?? This study showcases the transformative impact of quantitative, data-driven machine-learning models on community clinical triage. Our study specifically focuses on revolutionizing community clinical triage, with a spotlight on patients grappling with "Heart Failure". Through meticulous analysis and implementation of AI-driven triaging methods, our research has uncovered groundbreaking insights. We've demonstrated how these innovative techniques can effectively streamline processes within healthcare settings, ultimately leading to a substantial reduction in patient waiting times. Moreover, by integrating AI into the triage process, we can empower healthcare professionals to make more informed decisions, thereby enhancing the quality of care provided to patients. Huge thanks to Prof. Nitsa Herzog for her invaluable guidance and support as my professor, mentor, and co-author. ?? Gratitude to my friends, family, and colleagues at Pentafold Ltd for their unwavering support throughout this journey. Looking forward to continued advancements in healthcare through technology! Link: https://lnkd.in/ez_EyDc5 ?? #NHS #HealthTech #AIinHealthcare #MachineLearning #ClinicalTriage #ResearchPublication NHS, Sirona care & health, NIHR (National Institute for Health and Care Research)

As already announced in yesterday's post, we're diving into the topic of ?Interdisciplinary Teams in Healthcare AI" due to this weeks #DMEA conference. Yesterday, we explored some challenges; today, let's focus on enablers! ?? ?? Cross-Disciplinary Education: Bridging the gap between healthcare and technical expertise through specialized educational programs. ?? Collaborative Platforms: Utilizing technology to foster collaboration and knowledge exchange among different disciplines. ?? Ethical AI Frameworks: Establishing guidelines to ensure ethical development and deployment of AI in healthcare. ?? Patient Involvement: Engaging patients in the development process to create user-centric solutions. ?? Policy Advocacy: Advocating for supportive policies that encourage interdisciplinary collaboration in AI healthcare initiatives. ?? Innovation Ecosystems: Cultivating environments that nurture experimentation and innovation within regulated frameworks. ?? Join the conversation! Share your thoughts in the comments below and don't forget to request our whitepaper on this topic by commenting "whitepaper." We'd love to hear your thoughts on this! #HealthcareAI #InterdisciplinaryTeams #Innovation #AIinHealthcare #DMEAConference

Where AI will impact healthcare in 2024 #smartHIT

Last week I spoke at the AI Healthcare Summit, organized by the local AAPI chapter in Milpitas, CA. Thanks for inviting me, Drs. Archana Bindra and Leena Gupta! My topic was “Physician vs Machine - Clinical Practice in the Age of AI”. I spoke about how AI will increase the efficiency and quality of care. It won’t stop there. It has the potential to improve clinical science at a rapid pace and fundamentally change the business model of healthcare. Of course, there will hiccups, bumps and false starts along the way. Convergence of several new technologies will make new business models possible. The next several years will be an exciting time in innovation and entrepreneurship. These changes will challenge our assumptions of our role as healers. It is about to change. We may become more of coaches and facilitators. Many physicians will say, “I did not go to medical school to do this!” First of all, what you learned in your medical school will become obsolete soon if it has not already happened. It would be considered malpractice, if I did today, what I learnt in medical school! Secondly, medical knowledge is growing at an exponential rate today. It would be impossible to keep up with the new knowledge and to be able to utilize it in practice. Thirdly, with AI, decisions have to be made based on new knowledge that will be coming in every second! Knowledge will be dynamic and shifting every minute even without our own conscious awareness of it. So, the bottom line is - physicians need to learn and understand how AI works, to be able to prepare for the coming changes in technology and business models. As Robert Pearl, M.D. mentioned recently at the InnovatorMD Global Summit - now is an opportune moment for physicians to lead the change with AI technology. I say, “You can drive the bus, get on the bus, or walk home. Don’t be run over!” Which group will you be in? Comments? My autistic daughter, Siri (pictured below), loves to come to meetings with me. She listens to the talks keenly. After all she wants to become a neuroscientist! I will share her amazing journey in another post. #innovatormd #siricatherapeutics #founderinstitute #physicianinnovation #physicianentrepreneurship #healthcareinnovation #healthcareentrepreneurship

MobiHealthNews asked me where AI would impact healthcare… I opted for the less obvious answers. …Level Ex is already using GenAI for 2 of these. "Here are three major waves we can expect in 2024 that aren’t being talked about much (if at all): 1) Use of genAI to generate compelling and self-consistent training content for doctors. To create effective and fun training cases, you often need a large space for doctors to explore patient responses, test results, outcomes, etc. 2) Use of genAI to solve the hard problems in healthcare. There is a common misconception that genAI’s R&D value is in replacing low-to-mid-level programmers. We’ve found that the most compelling use of genAI is when top-decile engineers use it to rapidly accelerate solving extremely complex R&D problems, especially those that require deep multidisciplinary knowledge across math, physics, medicine and other fields. 3) Use of genAI to solve loneliness. There is an epidemic of human loneliness that is responsible for both tremendous psychological suffering and a broad set of negative health outcomes. In 2024, geriatric patients can spend time with their favorite fictional or non-fictional human, complete with photo-accurate rendering and a voice and personality that is indiscernible from the real thing – a personal confidante who cares about nothing more than whatever that patient wants to talk about that day."