FUJIFILM Healthcare Americas Corporation’s Post

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

Does your practice have an AI strategy? Connect with me at RBMA this week to learn how Bayer can help you deploy AI in your practice!

GE HealthCare's newest MRI workflow experience creates efficiencies by anticipating user actions. The UI offers a suite of intuitive solutions for every step of the imaging process, incorporating advanced #AI automation and tools to improve workflows, reduce clicks, and decrease the strain on staff. #radiology #workflow

Exciting Advancements at Siemens! See how the YSIO X.pree improves examinations: AI speeds up range adjustments for long-leg and full-spine examinations by 92%. See how else it can boost radiography workflows*: https://lnkd.in/eKT4Ryrp #SiemensHealthineers #rad #radiography #launch #YSIO *Compared to Smart Ortho - white paper (2023): YSIO X.pree – How intelligent imaging ensures an efficient and patient-centered radiography workflow; Range adjustments for long-leg and full-spine examinations are defined as the time between setting the upper and lower limits of the desired field of view. This is based on the assumption that technologists require 1.5 seconds of perception time (Hooper-McGee, 1983) to assess the AI-based collimation results.

In the ever-changing field of medical imaging, the transition from conventional print media to digital platforms has transformed our way of capturing, reviewing, and sharing diagnostic information. The process has been made easier across modalities like X-ray, Ultrasound (USG), High-Resolution CT (HRCT), and MRI due to DICOM (Digital Imaging and Communications in Medicine) standards; thus image reviews are done faster, more accurately and they are available to everyone. The progressive incorporation of DICOM has resulted in enhanced patient care through real time image analysis and smooth cooperation between specialists besides improving efficiency in medical imaging work systems. Curious for more insights? Stay connected, explore, and evolve with #BiomedPratibha. 💗 Coming Soon with impressive article on- 𝕯𝖞𝖓𝖆𝖒𝖎𝖈 𝕾𝖍𝖎𝖋𝖙 𝖔𝖋 𝕻𝖗𝖎𝖓𝖙 𝕸𝖊𝖉𝖎𝖆: 𝕬 𝕽𝖊𝖛𝖔𝖑𝖚𝖙𝖎𝖔𝖓 𝖎𝖓 𝕸𝖊𝖉𝖎𝖈𝖆𝖑 𝕴𝖒𝖆𝖌𝖎𝖓𝖌 #DICOMRevolution 🖥️ #MedicalImagingTech 📷#XrayToMRImaging 🩻 #DigitalHealthcareShift 🌐#RadiologyInnovation 🚀

𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐅𝐥𝐮𝐨𝐫𝐨𝐬𝐜𝐨𝐩𝐲 𝐈𝐦𝐚𝐠𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐆𝐞𝐭 𝐚 𝐅𝐫𝐞𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅: https://lnkd.in/dPrUrvf5 As we navigate the ever-evolving landscape of medical imaging, the fluoroscopy imaging systems market stands out as a crucial area of innovation and growth. With advancements in technology and increasing demand for minimally invasive procedures, the market is projected to experience significant expansion in the coming years. Key Trends Shaping the Market: ➤ Technological Advancements: New developments in digital fluoroscopy and real-time imaging are enhancing diagnostic accuracy and patient safety. ➤ Minimally Invasive Procedures: The rise in minimally invasive surgeries is driving demand for fluoroscopy systems, which provide critical real-time imaging support during complex procedures. ➤ Increased Demand in Emerging Markets: As healthcare infrastructure improves globally, emerging markets are witnessing a surge in fluoroscopy system adoption, providing new growth opportunities. ➤ Regulatory Developments: Ongoing changes in healthcare regulations are influencing the design and deployment of fluoroscopy systems, ensuring enhanced patient safety and compliance. ➤ Integration of AI and Machine Learning: The integration of artificial intelligence is streamlining workflows, improving image quality, and aiding in more accurate diagnostics. Call to Action: As professionals in the field, it's essential for us to stay informed about these trends and collaborate to push the boundaries of what fluoroscopy imaging can achieve. I invite all members to share their insights, experiences, and innovative solutions that can contribute to the advancement of this vital area in medical imaging. The Major Players are Canon Medical Systems Corporation., Hitachi, Siemens Healthineers, Philips, GE HealthCare, Ziehm Imaging, SHIMADZU CORPORATION, Orthoscan Inc., Hologic, Inc., Carestream & Others Players #Fluoroscopy #MedicalImaging #Radiology #FluoroscopyImaging #ImagingSystems #RadiologyTech #FluoroscopySystems #DiagnosticRadiology #RadiologyInnovation #MedicalFluoroscopy #FluoroscopyEquipment #RealTimeImaging #RadiographyTech #FluoroscopyTech #DiagnosticFluoroscopy #InterventionalRadiology #FluoroscopicGuidance

Is #AI in healthcare a threat to patient safety? Or can it maintain and even improve patient safety? Healthcare providers are working harder and faster than ever before, and our medical environment is increasingly complex and prone to error. We need to mobilize all potential resources to keep patients safe. We have a long history of looking to technology to help prevent error and reduce risk – so why not also look at AI through a patient safety lens? Exploring and advancing AI as a safety device will require progress on four fronts: 👉 Research – Understanding the potential impact of AI deployment on patient safety and on safety disparities 👉 Regulatory – Considering whether to expand the regulatory focus for AI software from device performance to the effects on population safety 👉 Reimbursement – Getting serious about supporting proper reimbursement to incentivize adoption 👉 Recognition – Incorporating AI for safety (if proven out by research) into standardized healthcare quality metrics, value-based purchasing, and accreditation initiatives This is all ICYMI from my keynote address at #QSI2024.  We had some great discussion about systems thinking, implementation science, funding sources, implications for efficiency, and the need for human involvement and oversight. Thanks to American College of Radiology for the invite. Let’s keep the conversation going! Comments welcome. Woojin Kim Reza Forghani Catherine Jones Prof. Susan Shelmerdine Dr Geraldine Dean Ron Vianu Reed Omary, MD, MS Christopher Treml Paige Nierengarten Prabhjot Singh, MD PhD Safwan Halabi

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YSIO X.pree improves examinations AI speeds up range adjustments for long-leg and full-spine examinations by 92%.* See how else it can boost radiography workflows. Learn more: https://lnkd.in/g5h-zMfT #SiemensHealthineers #rad #radiography #launch #YSIO X.pree * Compared to Smart Ortho - white paper (2023): YSIO X.pree – How intelligent imaging ensures an efficient and patient-centered radiography workflow; Range adjustments for long-leg and full-spine examinations are defined as the time between setting the upper and lower limits of the desired field of view. This is based on the assumption that technologists require 1.5 seconds of perception time (Hooper-McGee, 1983) to assess the AI-based collimation results. The products/features mentioned herein are not commercially available in all countries. Their future availability cannot be guaranteed. URL: https://lnkd.in/g5h-zMfT

YSIO X.pree improves examinations AI speeds up range adjustments for long-leg and full-spine examinations by 92%.* See how else it can boost radiography workflows. Learn more: https://lnkd.in/eknSmvCq #SiemensHealthineers #rad #radiography #launch #YSIO X.pree * Compared to Smart Ortho - white paper (2023): YSIO X.pree – How intelligent imaging ensures an efficient and patient-centered radiography workflow; Range adjustments for long-leg and full-spine examinations are defined as the time between setting the upper and lower limits of the desired field of view. This is based on the assumption that technologists require 1.5 seconds of perception time (Hooper-McGee, 1983) to assess the AI-based collimation results. The products/features mentioned herein are not commercially available in all countries. Their future availability cannot be guaranteed.