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Artificial intelligence is making its way into medical offices throughout Pennsylvania, including those in Pittsburgh, with the tantalizing promise of fewer administrative headaches for doctors and better care for patients. The transition could be bumpy: Among obstacles to widespread adoption of tech that instantly taps vast stores of information will be doctors’ resistance to change how they’ve practiced medicine, experts say. For patients, the selling point could be more eye contact and better communication during office visits, if doctors aren’t tied up with a computer screen, typing notes into a medical record. But that’s just the start. #artificialintelligence #ai #healthcare #medicine

#artificialintelligence #medicine #journal #medicalscience https://lnkd.in/gfKwHg-c Introducing NEJM AI, a New Journal from NEJM Group Clinicians are already using artificial intelligence to analyze radiological images, determine diagnoses, identify possible treatments, communicate with patients, and much more. How will AI impact your practice? That’s the focus of NEJM AI, a new journal from NEJM Group coming in 2024

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

Embrace the future of healthcare with AI innovation! Discover how artificial intelligence is revolutionizing medicine, improving diagnostics, and personalizing treatments. Join us as we navigate this exciting frontier together! #AIHealthcare #FutureOfMedicine

✌️ 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

🤔 What roles do technology and AI have in medicine?🩺 🔍 Check out the fifth edition of our newsletter – where we are focused on leading the revolution in medical documentation, providing insights from industry leaders, and examining the overall healthcare technology market. 📝 Today's article is by Derrick Chu, our Advisor to Product and an Acute Care Pediatrician, who provides his thoughts on the impact that Generative AI can have in healthcare and medical documentation. 💡Stay ahead of the curve with exclusive insights, industry updates, and expert perspectives every week. 🌟Follow along as we shape the future of healthcare technology! #GenerativeAI #PhysicianBurnout #HealthTech #Innovation #PatientCare

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/dMVz_96k

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

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

In a groundbreaking proposal, researchers led by Dr. Nigam Shah from Stanford University advocate for a public-private partnership to establish a nationwide network of health AI assurance labs. Featured in JAMA, their vision aims to ensure the accuracy and security of AI models in healthcare. In an exclusive interview with Jeremy Faust, MD, editor-in-chief of MedPage Today, Dr. Shah delves into the details of this transformative proposal. The assurance labs concept addresses the current lack of standardized evaluation for AI models in medicine. Dr. Shah draws parallels with car safety standards, emphasizing the need for a systematic approach to test and validate AI models. The labs would play a crucial role in transparently reporting the performance of these models in a national registry. In discussing the future of AI in healthcare, Dr. Shah envisions a scenario where AI aids clinicians in real-time decision-making. He emphasizes the importance of local context in evaluating AI models, challenging the traditional approach of universal external validation. Dr. Shah encourages clinicians to actively engage in the process, whether through meetings, influencing purchasing decisions, or leveraging patient advisory councils. Addressing concerns about data privacy, Dr. Shah advocates for secure data sharing, emphasizing the duty to contribute individual data for the greater good. He highlights the need to update privacy laws to align with the goals of a learning health system. In closing, Dr. Shah discusses the innovative approach of using de-identified datasets for research, balancing the need for sharing knowledge while ensuring data security. https://lnkd.in/gTKxPExF #AI #Healthcare #Medicine #DataSecurity #IP #VC #Patents #DeepTech