AI powered healthcare technology is garnering significant interest in implementation. As it evolves, so are the regulations around it. Recently, the FDA announced clearance for AliveCor’s AI technology in cardiology. The technology can predict cardiac conditions, including heart attacks with a reduced lead set. Simultaneously, the FDA also granted approval for AliveCor’s handheld ECG model. The model uses a single cable system, is lightweight, and easy to use for medical professionals. It is now also clinically proven. The FDA’s approval of this new technology is important, not only because it helps get life-saving technology in the hands of physicians, but because it is an essential part of determining the future of regulation. As new healthcare technology involving AI is introduced for FDA approval, the agency will look to past cases. The boundaries they set will determine what technology can get into the hands of people who need it most. #FDA #MedicalTechnology #AI
Benjamin Swig MPH, MBA, NRP, FAWM’s Post
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Nexus Alliance- AI: Gen- AI interventional associated tools for developmental trialists and clinical practitioners. From radiology diagnostic solutions to the potential telehealth ancillary interventions’ venues. Using EDC, RWD/RWE, EMR/EHR- interventions into prognostic solution. A holistic approach. No longer a stand alone AI tool, but a hollictically interphased solution empowered with amalgamation of multiple vertices at your finger tip. Join us in celebrating the true future of medicine. Medical care at a lower cost to the patients, higher accuracy, and the real spherical comprehensive care value net.
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🫀Exciting News in AI and Cardiology! 💠The transformative role of AI in ECG interpretation is a breakthrough in cardiovascular care. Tools like PMcardio and Cardiomatics are reshaping the way we diagnose and treat heart conditions. 💠AI in Action PMcardio delivers rapid, accurate diagnoses from any 12-lead ECG in under 5 seconds, enhancing clinical decision-making and standardizing care across healthcare settings. Cardiomatics offers cloud-based ECG analysis, reducing analysis time by up to 80%, and providing comprehensive diagnostics compatible with numerous ECG devices. 🤔 Why It Matters ✅ Enhanced Accuracy: AI algorithms detect subtle ECG abnormalities, improving the detection of arrhythmias, myocardial infarctions, and more. ✅ Efficiency & Access: These tools streamline workflows, allowing healthcare professionals to focus on patient care while ensuring timely and precise interventions. ✅ Future Prospects: AI continues to evolve, promising even greater integration with clinical data for personalized care and improved patient outcomes. #AIinHealthcare #CardiologyInnovation #ECGInterpretation #MedicalAI #HealthTech #ArtificialIntelligence #FutureOfMedicine #DigitalHealth #AIRevolution #SmartHealthcare #InnovationInMedicine
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🫀 Exciting news in AI and Cardioloy #AIinHealthcare #CardiologyInnovation #ECGInterpretation #MedicalAI #HealthTech #ArtificialIntelligence #FutureOfMedicine #DigitalHealth #AIRevolution #SmartHealthcare
🫀Exciting News in AI and Cardiology! 💠The transformative role of AI in ECG interpretation is a breakthrough in cardiovascular care. Tools like PMcardio and Cardiomatics are reshaping the way we diagnose and treat heart conditions. 💠AI in Action PMcardio delivers rapid, accurate diagnoses from any 12-lead ECG in under 5 seconds, enhancing clinical decision-making and standardizing care across healthcare settings. Cardiomatics offers cloud-based ECG analysis, reducing analysis time by up to 80%, and providing comprehensive diagnostics compatible with numerous ECG devices. 🤔 Why It Matters ✅ Enhanced Accuracy: AI algorithms detect subtle ECG abnormalities, improving the detection of arrhythmias, myocardial infarctions, and more. ✅ Efficiency & Access: These tools streamline workflows, allowing healthcare professionals to focus on patient care while ensuring timely and precise interventions. ✅ Future Prospects: AI continues to evolve, promising even greater integration with clinical data for personalized care and improved patient outcomes. #AIinHealthcare #CardiologyInnovation #ECGInterpretation #MedicalAI #HealthTech #ArtificialIntelligence #FutureOfMedicine #DigitalHealth #AIRevolution #SmartHealthcare #InnovationInMedicine
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Comparison of established and preliminarily proposed ASAS MRI working group cut-offs for inflammatory MRI lesions in the sacroiliac joints in radiographic and non-radiographic axial spondyloarthritis Comparison of MRI Cut-offs for Inflammatory Lesions in Axial Spondyloarthritis Background A study compared the established and newly proposed MRI cut-offs for inflammatory lesions in the sacroiliac joints in patients with axial spondyloarthritis. The new cut-offs were preliminarily proposed in 2021. Methods The study used MRI scans from 657 patients to categorize them as MRI-positive or MRI-negative based on the established and preliminary MRI cut-offs. Clinical outcomes were then evaluated over a 48-week period. Results Both established and preliminary MRI cut-offs showed similar results in clinical outcomes. However, a small group of patients had discordant results between the two sets of cut-offs. Conclusion The preliminary 2021 MRI cut-offs may enhance the specificity of the established MRI inflammatory lesion definition. Trial Registration NCT02505542 AI-Driven Platform for Clinical Knowledge Clinical trials play a vital role in developing safe treatments. Our AI-driven platform, DocSym, consolidates clinical standards and research, making valuable knowledge easily accessible for clinicians. Streamlining Healthcare Operations Efficient operations are essential in healthcare. Our mobile apps support scheduling, treatment monitoring, and telemedicine, improving patient care and expanding digital services. Enhancing Workflows with AI AI can improve clinic workflows and patient outcomes while reducing paper-based routines. Learn more at aidevmd.com. https://lnkd.in/e-Vsq2jq #ClinicalTrials #AIinHealthcare #MedicalAI #HealthTech #DigitalHealth #PatientCareAI #AIResearch #MedicalInnovation #BioTech #AIforGood #HealthcareData #AIinMedicine #PharmaAI #ClinicalData #HealthAI #AIHealthSolutions #PrecisionMedicine #AIandHealth #ClinicalAnalytics #AIDiagnostics
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We’re excited to announce seven new AI solutions for Europe, expanding our award-winning aiOS™ platform. 🚀 Our new proprietary algorithms include solutions for notifying and triaging urgent pathologies, including vessel occlusion, aortic dissection, vertebral compression fractures and malpositioned endotracheal tubes. Additionally, we’ve introduced three quantification solutions for standardised quantitative assessments of cardiovascular and neurological conditions. In challenging times of patient backlogs and staff shortages, we’re committed to improving outcomes for both patients and providers across Europe. Read the full story below.👇#healthcareai #aiinhealthcare https://okt.to/BuYiIr
New CE-marked AI solutions make Aidoc one of the most comprehensive in the field.
aidoc.com
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#AI is providing some unexpected opportunities in medical imaging. Not only can this help increase the value of testing through early diagnosis, it provides paths to decrease the burden for patients and lower overall costs related to these conditions. #healthcareai #medicalimaging
Opportunistic A.I. for Medical Scans
erictopol.substack.com
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Clinical trials in ophthalmology often require the analysis of large numbers of retinal images, a process which is currently manual, specialised, labour-intensive, and prone to inconsistency. As a result, identifying eligible patients for promising clinical trials is currently extremely time-consuming and error prone, causing over 85% of trials to be cancelled or significantly delayed. Bitfount's platform automates patient pre-screening using AI by determining patient eligibility in seconds, and critically without any data being moved or shared outside the clinic or hospital. All analysis takes place on-premise. The platform scans the entire imaging and EHR system to find patients meeting complex eligibility criteria and generates customised reports for trial coordinators and clinicians. Learn more about Bitfount's pre-screening solution: https://lnkd.in/dSHm4rVX Talk to us: https://lnkd.in/ecbs4Jra
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🚀 Exciting news in the world of cardiology! The FDA has recently cleared a groundbreaking AI model, SignalHF, developed by Implicity. This advanced tool is set to revolutionize the way we predict and manage heart failure. 🩺💻 SignalHF utilizes machine learning to analyze data from cardiac implantable electronic devices like defibrillators and pacemakers. By monitoring these inputs, it can predict potential heart failure events weeks in advance, allowing healthcare professionals to intervene sooner and more effectively. As a cardiologist, the potential for AI like SignalHF in clinical practice is truly exhilarating. I remember cases where early intervention could have significantly altered patient outcomes. With tools like SignalHF, the ability to act preemptively could transform patient care, reduce hospitalizations, and ultimately save lives. Given the stats—approx one million hospitalizations annually due to heart failure—imagine the impact of reducing even a fraction of these through early detection and personalized care management. What are your thoughts on integrating such AI tools in clinical settings? Could this be the new frontier for managing chronic conditions like heart failure? #HeartFailure #Cardiology #AIinHealthcare #DigitalHealth #MachineLearning #PatientCare #HealthTech
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We're entering a new era in #cardiaccare where #personalizedmedicine is becoming a reality. #AI and #multimodalimaging are revolutionizing how we approach #heartdisease, offering less invasive procedures and tailored treatments. Recent advancements show how AI can predict patient outcomes with remarkable accuracy, enabling better treatment decisions and improving patient care. By integrating data from electrocardiography, echocardiography, and MRI, clinicians can make informed decisions that significantly enhance patient outcomes. More on my op-ed published by Asian Hospital and Healthcare Managemente here: https://lnkd.in/gVhdC7WW
Artificial Intelligence at the Heart of Care
asianhhm.com
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A defibrillator should be connected to all patients receiving cardiopulmonary resuscitation (CPR) to allow early defibrillation. The defibrillator will collect signal data such as the electrocardiogram (ECG), thoracic impedance and end-tidal CO2, which allows for research on how patients demonstrate different responses to CPR. The aim of this review was to give an overview of methodological challenges and opportunities in using defibrillator data for research. #cpr #defibrillation #ai #artificialintelligence #electrodesfordefib #medicalelectrodes #intelesens Link to full article; https://lnkd.in/grawPAer
Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest - Intelesens
https://intelesens.com
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