How do healthcare professionals face challenges posed by limited data in healthcare? AISym4MED - Horizon Europe empowers them with advanced AI algorithms. This secure collaboration platform, co-funded by the European Union, empowers healthcare professionals by using controlled data synthesis to enrich experiments and models. Led by the Fraunhofer Portugal AICOS, AISym4Med is dedicated to creating a platform to equip healthcare data engineers, practitioners and researchers with a reliable dataset system enhanced with controlled data synthesis for experimentation and modeling. This platform intends to ensure data privacy and security by integrating innovative anonymization methods, attribute-based privacy approaches and dependable tracking systems.?? Our vision of providing high-quality healthcare solutions worldwide has become a reality, enriching decision-making through valuable insights. Let's shape the future together, as always! For further insights: https://lnkd.in/dbr4hrr5? #Tiga #HealthcareIT #PharmaIT #HealthData #AIinHealthcare #AIResearch #InnovationResearch #RDtrends #SustainableRD?
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Bredec Group Bredec Ecosystem Integration of AI in healthcare requires an interoperable digital data ecosystem - Nature: A major step toward a digitally enabled healthcare ecosystem in the USA was the Health Information Technology for Economic and Clinical Health Act (?... [email protected] [email protected]
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Remember this lively discussion from Episode 28 of Ursamin's Unlimited Access? #TBT! https://lnkd.in/gGDfE98i Shannon Aylesworth covered the hot topic of AI in healthcare, debating if it's a job-stealing monster or a revolutionary tool. Short highlights included: - AI's potential to supercharge efficiency for healthcare professionals, not replace them. - Why data is the fuel for AI advancements in healthcare. - The importance of patient control and data ownership. - How AI can reduce healthcare waste and improve decision-making. What are YOUR thoughts on AI in healthcare? Join the conversation in the comments below! #ThrowbackThursday #HealthcareAI #Ursamin #UnlimitedAccess #Throwback #HealthcareDiscussion #AI
Artificial Intelligence and Healthcare - Unlimited Access 22 - Ursamin
https://www.youtube.com/
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The exponential growth of medical knowledge, doubling approximately every 18-24 months, presents a significant challenge for healthcare professionals to stay updated [1]. By 2025, the healthcare data explosion will exceed 10 zettabytes (10 trillion gigabytes) [2], making advanced technological assistance indispensable. Currently, nearly half of all physicians report experiencing burnout, with the rate standing at 49% in 2024 [3]. This underscores the immense pressure on healthcare professionals to manage the influx of data and information. Efficient tools that can fetch relevant knowledge and extract insights from vast data sets are essential to alleviate this burden. Our commitment at AimedRev is to leverage AI responsibly and ethically to support physicians, and enhance patient outcomes. By embracing AI, we can support healthcare professionals in keeping up with the rapid advancements in medical knowledge. Sources: [1] https://buff.ly/4fclSTs [2] https://buff.ly/3Th0gdF [3] https://buff.ly/4bOiXha #AimedRev #AIinHealthcare #HealthcareInnovation #MedicalAI #PhysicianSupport #HealthcareData #EthicalAI
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???? Generative artificial intelligence in healthcare from the perspective of digital media: Applications, opportunities and challenges ?? Rui Xu ???? https://lnkd.in/egzh_Fkz ?? Focus on data insights: - The study identified 26 applications of GenAI LLMs in healthcare. - It highlighted 21 opportunities for utilizing GenAI LLMs to improve healthcare services. - The research outlined 17 challenges associated with implementing GenAI LLMs in healthcare. ?? Main outcomes and implications: - GenAI LLMs have the potential to transform healthcare services by making them more accessible and cost-effective. - The application of GenAI LLMs can enhance patient care and streamline healthcare processes. - Ethical and security concerns need to be addressed as GenAI LLMs are integrated into healthcare systems. ?? Field significance: - The integration of GenAI LLMs in healthcare has the potential to revolutionize traditional healthcare service models. - Further research and empirical studies are needed to optimize the application of GenAI LLMs in specific healthcare fields and mechanisms. ???: [#GenerativeAI #Healthcare #DataInsights #DigitalMedia #ArtificialIntelligence]
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Troy Tazbaz, Director of Digital Health Center of Excellence, FDA, joined us on the ViVE 2024 main stage to shed light on the vital role the FDA and ONC play in advancing health technology and health IT across the U.S. health system. Traditional regulations designed for hardware with long development cycles don't fit the adaptive nature of AI. AI evolves without human intervention, necessitating new regulatory approaches. The FDA must now consider the entire AI lifecycle - from development to deployment, monitoring, and integration in healthcare. This shift demands a focus on processes and accountability for associated risks. The FDA and Office of the National Coordinator for Health Information Technology (ONC) are collaborating to move the industry toward a more agile, innovative future, leveraging their expertise to advance data interoperability and address emerging health tech like generative AI. ?? Watch the full session from ViVE 2024 here: https://lnkd.in/eFScA-RQ #ViVEvent #HealthcareInnovation #HealthcareTransformation #GenerativeAI
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As the EU’s #EHDS initiative advances, BC Platforms' EHDS-Ready TRE solution is here to support healthcare institutions in data sharing and compliance. By combining #AI and automation, BC Platforms offers scalable, secure solutions for a unified #DigitalHealth future in Europe. ?? Discover how we're enhancing data accessibility and research productivity. ?? Dive in: https://iii.hm/1t76 #HealthcareData #Innovation #Interoperability #HealthData #EU
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Excited to be part of a panel with Benjamin Gmeiner Jovan Stevovic and Dr. Caroline Grau on June 5th discussing how diverse data sets drive value in healthcare. We'll share real stories from various perspectives on the importance of diverse data in enhancing patient outcomes, clinical trials, and precision medicine. ??Join Us at Health.Tech 2024 in Munich! ?? The session will highlight the critical role of data quality and completeness in building robust algorithms, the impact of accessing varied data sources, and short-term solutions to improve data quality and accessibility. At FAQIR Institute, we believe in the transformative power of health data. Using innovative technologies like #SOLID, we empower individuals to securely manage and share their health information in personal health data vaults or data PODs, breaking down data silos and enabling better patient outcomes and impactful research. Don't forget that while AI is promising, 90% of the work lies in ensuring high-quality data. Through secure data management, transparency and patient empowerment, we're committed to revolutionising healthcare and demonstrating that data can truly save lives. ?? Register Now www.health.tech #HealthcareInnovation #DataScience #HealthData #AI #PatientCare #FAQIR
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Explore key insights and #Recommendations from expert speakers at the recent SmartCHANGE | DataTools4Heart | AI4HF (EU project) webinar in the newly released #report, "The #AI Act and Other Regulatory Issues". Access the full document here: https://lnkd.in/dT-CPptu
?? Out now: Our post-webinar report on #AI & #healthcare regulations!? The SmartCHANGE webinar series kicked off with an engaging joint webinar with AI4HF (EU project) and DataTools4Heart on the #AIAct and its implications for healthcare. ?? This first event gave participants the opportunity to discover exciting new healthcare projects funded by the #EU and engage directly with the experts, share their thoughts, and clarify doubts about the regulatory environment. Dive deeper into the discussions! The post-event report is now available?? Find it here: https://shorturl.at/lKCm6 #AIHealthcare #AIAct #HealthTech
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The COVID-19 pandemic cast a harsh light on the weaknesses of public health systems worldwide. That has hastened the incorporation of artificial intelligence and machine learning into healthcare; these technologies can help anticipate and effectively address future health crises, and reduce wait times for medical care. AI-based healthcare could particularly benefit developing countries, where systems can often be inadequate. In the next few years, AI-based healthcare solutions are therefore likely to become increasingly prevalent. However, challenges such as data privacy concerns, uncertain levels of public acceptance, and patient compliance must be addressed. A carefully crafted ethical framework will be necessary for any system entrusted with vast amounts of personal data. This briefing was created as part of the World Economic Forum’s Top 10 Emerging Technologies Report for 2023, which lists new technologies poised to impact the world in the next three to five years, and was done in cooperation with Frontiers - a publisher of peer-reviewed, open access scientific journals. #ai #aihealthcare #strategicintelligence #worldeconomicforum
Artificial Intelligence-Facilitated Healthcare | Strategic Intelligence | World Economic Forum
intelligence.weforum.org
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Head of Intelligent Systems at Fraunhofer Portugal
4 个月It has been an honor to collaborate with Tiga Healthcare Technologies in such an inspiring project!