Mohammad Vaziri’s Post

✌️ The 2nd edition of NEJM AI is here! This edition includes an overview of how the journal is committed to the publication of "clinical-grade evidence needed to improve patient care with AI." Viz.ai is a proud sponsor of this journal and we strongly support the exploration of the cutting-edge applications of artificial intelligence and machine learning in clinical medicine. Check out the latest edition here: https://lnkd.in/evqUu6yC #AIinMedicine #PatientsFirst #AIinHealthcare

If you want to stay up-to-date about AI in Medicine, I would recommend subscribing to the newly started journal: NEJM AI, which is a daughter journal of the New England Journal of Medicine. The first issue has an interesting article on the use of the GPT-4 (LLM) model to diagnose complex clinical cases. https://lnkd.in/er4S_tzq

New journal from NEJM Group on #AI: NEJM AI This first issue for example articles on #LLM #GPT4 in medicine 💊 💻 Think interesting 🤔 to follow. https://lnkd.in/gTfv593i

Artificial Intelligence (AI) has tremendous potential to advance clinical practice and the delivery of patient care. A new Review article series, “AI in Medicine,” explores the role of AI technology in clinical medicine and digital health, and examines the promise and pitfalls of its application across the health care continuum. https://lnkd.in/e4UNaC7k

Emergency medicine serves as the frontline of healthcare and the integration of AI, and clinical decision support at this critical care point has the potential to revolutionize the way care is delivered. #HealthcareAI #Clinical #CriticalCare

Interesting Intelligent Health.tech interview with Benyamin Deldar and David Hanbury from Deep Medical about their groundbreaking work using #AI to revolutionise patient scheduling. Did you know that missed appointments and last-minute cancellations cost the #NHS nearly £2 billion annually? Deep Medical is tackling this head-on by developing AI models that predict patient no-shows and cancellations up to two weeks in advance. By analyzing vast, anonymized datasets (without needing sensitive health records), their technology enables hospitals to make data-driven scheduling decisions. The impact could be massive—potentially unlocking millions of appointments each year and reducing healthcare inequities. Their platform is already showing promising results in pilot programs across multiple NHS sites. But it's not just about efficiency. Ben and David discuss how their AI is designed with equity in mind, aiming to engage underserved populations and redesign care pathways. It's about augmenting, not replacing, human expertise to deliver the right care to the right people. Exciting times ahead as Deep Medical scales up within the NHS and eventually expands to other geographies. Great to to see #AI being used to tackle such pressing healthcare challenges and improve patient outcomes. #AI #HealthTech #PatientExperience #NHS #HealthcareInnovation https://lnkd.in/e9779Ujs

Through #CONNECTINGHEALTH we have seen that understanding the potential of #ArtificialINtelligence is key to navigating the digital health landscape of tomorrow. 📽️We recommend this eye-opening Deutsche Welle documentary to you looking at how #AI and #DigitalHealth transformation can improve better diagnose and provide quicker medical responses⬇️ https://lnkd.in/gedzcwYw

Do you want to find out AI's impact on the healthcare industry? I've downloaded the newest report by Omnia Health Insights "The Future of Medicine: AI's Journey in Healthcare", to get your free copy, click here https://lnkd.in/gBvBimVb

AI in health care isn’t new. In fact, AI, ChatGPT and machine learning have all been integrated into care delivery across specialties, including nephrology. These new tools are woven into value-based kidney care at DaVita, where we use AI to sort data and identify trends so that we can better address our patients’ complex needs. DaVita’s Chief Medical Information Officer, Dr. Adam Weinstein, shares his perspective on the implications of AI in kidney care in this Nephrology News & Issues article. https://ow.ly/nXYH30sBzu9

AI in health care isn’t new. In fact, AI, ChatGPT and machine learning have all been integrated into care delivery across specialties, including nephrology. These new tools are woven into value-based kidney care at DaVita, where we use AI to sort data and identify trends so that we can better address our patients’ complex needs. DaVita’s Chief Medical Information Officer, Dr. Adam Weinstein, shares his perspective on the implications of AI in kidney care in this Nephrology News & Issues article. https://ow.ly/vzuu30sAqxL