Ultrasound technology enhanced with artificial intelligence (AI) improves the precision and interpretability of ultrasound imaging. This combination brings a new dimension to ultrasound's capabilities, making it a more powerful tool for early diagnosis. Acertara's ongoing research and development efforts aim to evolve ultrasound into a predictive tool for preemptive medical intervention. This breakthrough marks a pivotal shift in healthcare, positioning ultrasound as a fundamental driver in preventive medicine. #EarlyDetection #Ultrasound #ArtificialIntelligence Learn how Acertara’s ultrasound technology is pioneering early detection in healthcare. Visit https://bit.ly/3RfNOtp for more information.
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Ultrasound technology enhanced with artificial intelligence (AI) improves the precision and interpretability of ultrasound imaging. This combination brings a new dimension to ultrasound's capabilities, making it a more powerful tool for early diagnosis. Acertara's ongoing research and development efforts aim to evolve ultrasound into a predictive tool for preemptive medical intervention. This breakthrough marks a pivotal shift in healthcare, positioning ultrasound as a fundamental driver in preventive medicine. #EarlyDetection #Ultrasound #ArtificialIntelligence Learn how Acertara’s ultrasound technology is pioneering early detection in healthcare. Visit https://bit.ly/3RfNOtp for more information.
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The clinical value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practice - BMC Medicine: The clinical value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practice BMC Medicine http://dlvr.it/T9TQ5D #ai #artificialintelligence
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Exo introduces AI heart, lung apps to handheld ultrasound. #MedicalTechnology 🤝 Download 1 Million Logo Prompt Generator 🔜 https://wapia.in/1mlogo 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Exo has introduced AI-powered applications for heart and lung imaging on its handheld ultrasound probe. The technology aims to enhance the accuracy and efficiency of diagnosing heart and lung conditions by utilizing artificial intelligence. This innovation by Exo is expected to revolutionize the field of ultrasound imaging by providing healthcare professionals with advanced tools for diagnosing and treating patients with heart and lung issues. Hashtags: #chatGPT #AIultrasound #medicaltechnology
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An interesting call for AI vendors to develop algorithms that improve effiency, and not only focus on detection: the core value of #MammoScreen. Now that the adoption chasm is passed, it's time for large-scale adoption to overcome health systems strains.
Dear AI community, we hold your recent developments in high regard, but without feedback there is no opportunity for growth, right? We, Dr Hugh Harvey Bram van Ginneken and myself sat down to write this call for action. We need tools that actually solve a pressing clinical problem, namely, the supply-demand mismatch in diagnostic radiology. As a clinical radiologist, I am in need of some form of automation in my daily work, be it in the interpretation or reporting aspect, as long as it does not require additional attention from me. Extra attention is something we do not have anymore in this profession sadly. "Our ultimate goal is to maintain healthcare accessibility and not just slightly improve radiologists’ performance but rather signifcantly enhance their efficiency" It is understandable that the first generation of products still necessitates strict human oversight, akin to first-year residents. However, this cannot be the final goal. Hopefully, developments will advance and seamless non-interpretive tools become mainstream, followed by ethically sound, reliably monitored interpretive tools. We invite all of you to read and respond to our commentary just published in European Radiology open-acces preview 👉 https://rdcu.be/dADrF Concidentally, it is very much in line with the key-note Annemiek Snoeckx, MD, PhD gave at #ecr2024 (which is highly recommended and available on youtube: https://lnkd.in/eGWXaiAc). #radiology #artificialintelligence #collaboration
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In the ever-evolving world of #ultrasound technology, Matthew Ernst, ultrasound product marketing manager at FUJIFILM Healthcare Americas Corporation, shares groundbreaking advancements in our ARIETTA line, spotlighting the ARIETTA 750 DeepInsight #AI technology. This innovation uses cognitive technology to distinguish between echo signals and electrical noise in scans, resulting in high-quality images. Read the full article on pages 19-21 in the latest Radiology Today issue: https://brnw.ch/21wH9DN #MedTech
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"Using innovative AI technology, EchoNous introduced Lexsa, a powerful new linear ultrasound probe. Lexsa enables physicians to take high-quality images of deep-seated structures such as blood vessels, nerves, and bones. This makes it possible to visualize these structures in ways that were not possible before. Lexsa also provides real-time guidance for complex procedures such as central line placement, nerve blocks, and injections into joints. By expanding the capabilities of its point-of-care ultrasound, EchoNous is making it possible for physicians to perform more procedures and improve patient care. Follow us to learn more about cutting-edge technologies. "
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Technical Product Owner| Healthcare Consultant| Certified SAFe 6 Product Owner/ Product Manager| CSPO
Having implemented Radiology solutions that allow easy chart reviews for MD’s, be it for Utilization management or HEDIS chart abstraction, I found the below article insightful. It talks about the need for AI solutions that bring efficiency in lengthy chart reviews
Dear AI community, we hold your recent developments in high regard, but without feedback there is no opportunity for growth, right? We, Dr Hugh Harvey Bram van Ginneken and myself sat down to write this call for action. We need tools that actually solve a pressing clinical problem, namely, the supply-demand mismatch in diagnostic radiology. As a clinical radiologist, I am in need of some form of automation in my daily work, be it in the interpretation or reporting aspect, as long as it does not require additional attention from me. Extra attention is something we do not have anymore in this profession sadly. "Our ultimate goal is to maintain healthcare accessibility and not just slightly improve radiologists’ performance but rather signifcantly enhance their efficiency" It is understandable that the first generation of products still necessitates strict human oversight, akin to first-year residents. However, this cannot be the final goal. Hopefully, developments will advance and seamless non-interpretive tools become mainstream, followed by ethically sound, reliably monitored interpretive tools. We invite all of you to read and respond to our commentary just published in European Radiology open-acces preview 👉 https://rdcu.be/dADrF Concidentally, it is very much in line with the key-note Annemiek Snoeckx, MD, PhD gave at #ecr2024 (which is highly recommended and available on youtube: https://lnkd.in/eGWXaiAc). #radiology #artificialintelligence #collaboration
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Workforce shortages are the biggest challenge in radiology. This very good paper from Merel Huisman, MD, PhD Bram van Ginneken Dr Hugh Harvey explains the risk that the AI developments currently being prioritised in radiology might just slightly improve radiologists’ diagnostic performance but not significantly enhance their efficiency. I think there is a further risk compounding this in that AI and deep learning developments will also speed up image acquisition and increase the number of patients being scanned and lead to further swamping of radiologists. I therefore whole heartedly agree prioritise AI developments that enhance productivity of equipment, technicians, radiographers, and radiologists. #healthcare #care #healthinvestor #investor #healthimpact #healthcareprivateequity #privateequity #healthcarerecruitment #innovationsinhealthcare #diagnostics #diagnosticimaging #workforce #talent #skills #workforcedevelopment #quality #safety
Dear AI community, we hold your recent developments in high regard, but without feedback there is no opportunity for growth, right? We, Dr Hugh Harvey Bram van Ginneken and myself sat down to write this call for action. We need tools that actually solve a pressing clinical problem, namely, the supply-demand mismatch in diagnostic radiology. As a clinical radiologist, I am in need of some form of automation in my daily work, be it in the interpretation or reporting aspect, as long as it does not require additional attention from me. Extra attention is something we do not have anymore in this profession sadly. "Our ultimate goal is to maintain healthcare accessibility and not just slightly improve radiologists’ performance but rather signifcantly enhance their efficiency" It is understandable that the first generation of products still necessitates strict human oversight, akin to first-year residents. However, this cannot be the final goal. Hopefully, developments will advance and seamless non-interpretive tools become mainstream, followed by ethically sound, reliably monitored interpretive tools. We invite all of you to read and respond to our commentary just published in European Radiology open-acces preview 👉 https://rdcu.be/dADrF Concidentally, it is very much in line with the key-note Annemiek Snoeckx, MD, PhD gave at #ecr2024 (which is highly recommended and available on youtube: https://lnkd.in/eGWXaiAc). #radiology #artificialintelligence #collaboration
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Company Director, Care at Home Services (South East) Ltd + Managing Director, Westminster Homecare Ltd. + Managing Partner, Healthpartners Services Ltd.
Workforce shortages are the biggest challenge in radiology. This very good paper from Merel Huisman, MD, PhD Bram van Ginneken Dr Hugh Harvey explains the risk that the AI developments currently being prioritised in radiology might just slightly improve radiologists’ diagnostic performance but not significantly enhance their efficiency. I think there is a further risk compounding this in that AI and deep learning developments will also speed up image acquisition and increase the number of patients being scanned and lead to further swamping of radiologists. I therefore whole heartedly agree prioritise AI developments that enhance productivity of equipment, technicians, radiographers, and radiologists. #healthcare #care #healthinvestor #investor #healthimpact #healthcareprivateequity #privateequity #healthcarerecruitment #innovationsinhealthcare #diagnostics #diagnosticimaging #workforce #talent #skills #workforcedevelopment #quality #safety
Dear AI community, we hold your recent developments in high regard, but without feedback there is no opportunity for growth, right? We, Dr Hugh Harvey Bram van Ginneken and myself sat down to write this call for action. We need tools that actually solve a pressing clinical problem, namely, the supply-demand mismatch in diagnostic radiology. As a clinical radiologist, I am in need of some form of automation in my daily work, be it in the interpretation or reporting aspect, as long as it does not require additional attention from me. Extra attention is something we do not have anymore in this profession sadly. "Our ultimate goal is to maintain healthcare accessibility and not just slightly improve radiologists’ performance but rather signifcantly enhance their efficiency" It is understandable that the first generation of products still necessitates strict human oversight, akin to first-year residents. However, this cannot be the final goal. Hopefully, developments will advance and seamless non-interpretive tools become mainstream, followed by ethically sound, reliably monitored interpretive tools. We invite all of you to read and respond to our commentary just published in European Radiology open-acces preview 👉 https://rdcu.be/dADrF Concidentally, it is very much in line with the key-note Annemiek Snoeckx, MD, PhD gave at #ecr2024 (which is highly recommended and available on youtube: https://lnkd.in/eGWXaiAc). #radiology #artificialintelligence #collaboration
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Managing Partner - Ethical Lifecare LLP
2moHi, Can we schedule a call on Google meet for the Indian Market. Regards, Dinesh Kothari, Ethical Lifecare LLP, Mumbai, India. ethicallifecare@gmail.com