Verily’s Post

Danah is your gateway to a world of streamlined clinical trial management. By leveraging the power of Artificial Intelligence, you will identify sites at risk and automatize eTMF operations. Danah is your compass in the ocean of research. Discover the pearls of knowledge our real time Insights, AI RBQM, CTMS, AI eTMF and Study Training modules. Stay tuned as we'll be unrevealing each of these modules soon! Request a demo on bd@pivotalcr.com #CTMS #ETMF #RBQM #ClinicalInsights #StudyTraining #ClinicalTrials #ClinicalResearch #HealthcareInnovation #DigitalHealth #LifeSciences #ResearchTechnology #HealthTech #DataScience #PharmaTech #InnovativeResearch #DanahLaunch Pivotal Patient Journey

Harness the Power of AI for Clinically Connected Care - Meet Us at #ViVE2024!   Medicomp’s Quippe Clinical Data Engine allows health systems to leverage the power of LLMs by combining them with Quippe’s patented clinical intelligence engine. The Quippe Clinical Data Engine harnesses 45+ years of expert physician knowledge from almost every specialty in medicine, covering almost every diagnosis or clinical presentation. The result is a powerful tool that thinks like a clinician as it translates text into meaningful, usable, actionable, and structured clinical data that can be filtered, analyzed and shared.   Schedule a meeting with us to learn more: https://bit.ly/3UkmO0l | ViVE #DiagnosticallyConnectingData #AIinHealthcare #ClinicalGradeAI #ReduceBurnout #Interoperability

" 💥 Recommended Prompt " AI’s Impact on Modern Healthcare - 4IRGPT.com is an AI Knowledge Trading & Prompt Media Platform for everyone and experts like you. Signup free! Use it to Monetize followers and build subscribers who follow your insider knowledge about anything. Set your own Subscriber fees with 4IR Credits. Make $$$ Prompt Synopsis Examine the transformative impact of artificial intelligence (AI) on the healthcare industry. This prompt invites an in-depth analysis of how AI is enhancing clinical diagnostics, personalizing medicine, and improving operational efficiency within healthcare settings. Additionally, address the ethical and privacy concerns surrounding AI applications and explore emerging trends and future innovations. Your response should include recent advancements, real-world examples, and expert insights to provide a comprehensive overview of AI’s influence on healthcare.

MEDIcept Minute: FDA Releases Artificial Intelligence (AI) Paper!  FDA NEWS! They have recently released their latest paper, "Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together," showcasing how different centers within the FDA are collaborating to ensure the safe and ethical use of AI in medical products. This paper, released on Friday March 15th, 2024, emphasizes the importance of fostering innovation while prioritizing public health and equity. By outlining specific focus areas across the medical product lifecycle, including development, deployment, and maintenance, the FDA aims to promote transparency and consistency in AI applications. This paper not only reflects the FDA's commitment to protecting public health but also highlights its dedication to fostering responsible innovation in healthcare. Exciting times ahead as we navigate the intersection of AI and medical products, ensuring that advancements benefit patients while upholding rigorous safety standards.  Read the full paper at the link below to dive deeper into FDA's proactive approach. https://lnkd.in/eQ27sNw5 Need assistance navigating the newest AI regulations? MEDIcept Inc. offers comprehensive solutions to help you navigate FDA's latest guidelines on Artificial Intelligence and Medical Products, ensuring your healthcare innovations meet regulatory standards seamlessly – contact us today at sales@medicept.com to learn more.    #FDA #AIinHealthcare #Innovation #PatientCare #HealthEquity #AI #ArtificialIntelligence #CDRH

🔍 How Close Are We to AI Providing Primary Diagnostics in the UK? As we continue to witness rapid advancements in artificial intelligence, one of the most intriguing prospects is AI's potential role in healthcare, specifically in providing primary diagnostics. With AI's ability to analyse vast amounts of medical data quickly and accurately, its integration into healthcare could revolutionise how diagnoses are made. However, numerous challenges remain, including regulatory hurdles, data privacy concerns, and the need for widespread acceptance among healthcare professionals. I'm curious to hear thoughts from the community and experts in the field. 🤖 Ibex Medical Analytics Daniel Ignatov PathAI Paige Owkin Gwendolyn Courtois Visiopharm Martin Kristensson What are your thoughts on the timeline for AI to reliably provide primary diagnostics? What steps are necessary to ensure both effectiveness and trust in these systems? #ArtificialIntelligence #HealthcareInnovation #DigitalHealth

👉 In need of fast AI-extraction of data for Notified Bodies? 👊Look no further   Silvi now extracts data directly from articles and reports. With our new AI supported data extraction, updating clinical documentation for Notified Bodies is easier than ever.   Using our newest AI technology, Silvi can extract PICO and background variables directly - making any documentation process much easier. Combined with the dynamic and continuously updated setup phase, recertification of medical devices will take almost no time.   Want to see how it works? Get a free trial at https://lnkd.in/dzJxuhwG today, or reach out to hear more at info@silvi.ai #mdr #notifiedbody #medicaldevice

I’m invigorated by the transformative potential of Clinical Decision Support Systems (CDSS). They’re not just buzzwords; they’re intelligent companions, armed with the power of AI, big data, and machine learning, poised to revolutionize how hospitals deliver care. #hospitals #HealthTech #cdss #timussolutions https://lnkd.in/g-f27kzF

Innovation or Overregulation…… Thank you to Dr. Pascal Hofer of Roche for delivering the session “EU AI Act - Innovation or Overregulation?” at the 3rd Annual ACDM: Association for Clinical Data Management Symposium on Artificial Intelligence in Clinical Trials. This presentation looked at the background for the AI Act and summarised key components in a nutshell. It also explored the scope and risk categories, and shared a use case for AI-based software in a clinical trial scenario. #clinicalresearch #clinicaltrials #clinicaldatamanagement #clinicaloperations #edc #ACDM #AI #artificialintelligence

The integration of Machine Learning (ML) algorithms in healthcare diagnostics marks a groundbreaking shift toward more accurate, efficient, and personalized medical care. These advanced technologies are transforming the landscape of diagnostics, empowering healthcare professionals to detect diseases with unparalleled precision and predict patient outcomes more effectively. By leveraging the ability to analyze and interpret vast datasets, ML algorithms unveil critical insights from patient information, identifying patterns and anomalies that may not be apparent through conventional methods. This capacity not only accelerates the diagnostic process but also enhances its accuracy, facilitating early intervention strategies and significantly improving patient care pathways. The implications of this technological evolution extend far beyond immediate diagnostics. It paves the way for a future where healthcare is tailored to individual patient profiles, optimizing treatment plans and advancing the realm of precision medicine. As Predikly continues to explore and integrate these transformative AI and ML solutions, we invite you to join us on this exciting journey. Stay tuned to explore on how AI-driven diagnostics are reshaping healthcare, promising a future of enhanced accuracy, early intervention, and personalized patient care! #prediklysolutions #aiforbusiness #datadrivendecisions #techinnovation #digitaltransformation #rpaexperts #analyticsinsights #productdevelopment #efficiencyboost #businessgrowth

Do you work in the clinical research space? Seeking to adopt new technology like AI in your work place? Join us tomorrow to learn about advancements in AI and attribution. IEEE-SA Clinical Trial Technology Modernization Network (CTTMN) Monthly Online Meeting Date: Feb 23rd, 2024 Time: 12:00 – 1:00 PM EST Registration Link: https://lnkd.in/d66C3KNX We look forward to having you join the call and contribute to the initiative. #clinicalresearch #clinicaltrials #clinicalstudies #clinicaltrial #aiadoption #digitalhealthcare #digitalmedicine #digitalhealth #dcts #decentralizedclinicaltrials #decentralizedtrials #regulatoryaffairs #regulatorycompliance #regulatory #dhts #telemedicine #telehealth #technology