PONS’ Post

It's great to be part of the team that's making cardiac ultrasound more precise and more efficient using AI! Six benefits of AI-based ultrasound. #UltrasoundAI #AIUltrasound #HealthcareAI https://lnkd.in/gtDT_HS4

Don’t just take our word for it: “[Auto Preset on Kosmos] saves you time. It's a really stellar feature and it goes to show you what the future of AI will look like in the handheld ultrasound world.” Seamlessly optimize the image in real-time during a multi-organ exam with Auto Preset, which detects the anatomy you’re scanning and adjusts the imaging preset and other imaging parameters. Kosmos is continuing to lead the way in defining a whole new level of #ultrasound efficiency. Experience it for yourself! https://loom.ly/7WgJxTo #KosmosPlatform #POCUS #aihealthcare #emergencymedicine #criticalcare #internalmedicine #hospitalist #familiymedicine #primarycare

YSIO X.pree supports workflows and better results with AI AI can reduce average examination time in chest X-ray by 28%*. See how else it can boost radiography workflows. Learn more: https://lnkd.in/gSS-AcdP #SiemensHealthineers #rad #radiography #launch #YSIO X.pree *White paper (2023): YSIO X.pree – How intelligent imaging ensures an efficient and patient-centered radiography workflow: A chest X-ray examination is defined as the time between patient positioning on the Bucky wall stand and images being displayed on the workstation. https://lnkd.in/e5rQMfaE

Breathe Easier, Heal Faster: Unlock the Power of AI-driven NAVA Ventilation Imagine a world where ventilators adapt to your every breath, anticipating your needs and working seamlessly with your body. That's the promise of Neurally Adjusted Ventilatory Assist (NAVA), and it's getting a powerful boost from Artificial Intelligence (AI). What is NAVA? Think of it as a smart ventilation system. Instead of relying on pre-set settings, NAVA uses sensors to monitor your diaphragm's electrical activity. This allows it to deliver precise, proportional support with each breath, mimicking your natural breathing pattern. Benefits of NAVA: • Reduced patient-ventilator asynchrony: No more fighting the machine! NAVA works in harmony with your body, minimizing stress and improving comfort. • Gentler on your lungs: By avoiding over-inflation, NAVA protects your lungs from ventilator-induced injuries, promoting faster recovery. • Shorter ICU stays: Studies show NAVA can lead to earlier weaning from mechanical ventilation, meaning you get back to your life sooner. Where does AI come in? AI algorithms are being trained on massive datasets of patient data and ventilator settings. This allows them to personalize NAVA therapy even further, predicting your needs and adjusting support in real-time. Imagine: • AI-powered early warning systems detecting potential complications before they happen. • Adaptive algorithms fine-tuning NAVA settings for optimal comfort and lung protection. • Personalized weaning protocols tailored to your individual recovery pace. The future of ventilation is here, and it's breathing new hope into critical care. #NAVA #AI #RespiratoryTherapy

𝑻𝒉𝒆 𝒇𝒖𝒕𝒖𝒓𝒆 𝒐𝒇 𝒖𝒍𝒕𝒓𝒂𝒔𝒐𝒖𝒏𝒅 𝒊𝒎𝒂𝒈𝒊𝒏𝒈 Imagine that ultrasound scans are conducted by robots. In medical imaging, ultrasound is used to examine organs such as the liver, the pancreas, or the kidney. Today’s ultrasound depends on expertise and skill, and the process is physically exhausting. So what about a robot doing the scanning? 🤔 This breakthrough was presented in a recent paper: a Fully Autonomous Robotic Ultrasound System (FARUS). The system is used for scanning the thyroid region. One of the challenges is that a robot needs to account for the variability of the human body across individuals (in this case, the anatomy of the neck region). Scanning the body using a predetermined trajectory is therefore not possible. FARUS uses reinforcement learning to accomplish the thyroid search process. A deep Q-network learns to accurately predicts the precise movements to guide the robotic arm. Bayesian optimization is used to optimize the ultrasound probe orientation. Next to robotics, computer vision using the deep learning U-net algorithm is used to segment the thyroid and nodules from the medical images. Images acquired by FARUS have good quality. Most participants reported to feel safe. FARUS was more stable in terms of force, velocity and positioning of the probe. But manual scanning by doctors was faster. Smaller or low-contrast nodules were more difficult to detect for FARUS. Of course, this may still improve in the future. #robotics #reinforcementlearning #deeplearning #medicalimaging

YSIO X.pree supports workflows and better results with AI AI can reduce average examination time in chest X-ray by 28%*. See how else it can boost radiography workflows. Learn more: https://lnkd.in/gSS-AcdP #SiemensHealthineers #rad #radiography #launch #YSIO X.pree *White paper (2023): YSIO X.pree – How intelligent imaging ensures an efficient and patient-centered radiography workflow: A chest X-ray examination is defined as the time between patient positioning on the Bucky wall stand and images being displayed on the workstation.

YSIO X.pree supports workflows and better results with AI AI can reduce average examination time in chest X-ray by 28%*. See how else it can boost radiography workflows. Learn more: https://lnkd.in/gSS-AcdP #SiemensHealthineers #rad #radiography #launch #YSIO X.pree *White paper (2023): YSIO X.pree – How intelligent imaging ensures an efficient and patient-centered radiography workflow: A chest X-ray examination is defined as the time between patient positioning on the Bucky wall stand and images being displayed on the workstation.

YSIO X.pree supports workflows and better results with AI AI can reduce average examination time in chest X-ray by 28%*. See how else it can boost radiography workflows. Learn more: https://lnkd.in/gSS-AcdP #SiemensHealthineers #rad #radiography #launch #YSIO X.pree *White paper (2023): YSIO X.pree – How intelligent imaging ensures an efficient and patient-centered radiography workflow: A chest X-ray examination is defined as the time between patient positioning on the Bucky wall stand and images being displayed on the workstation.

Is your patient's dyspnea from a cardiac cause? Is their chemotherapy causing cardiac toxicity? Should they go to the ER? These decisions are easier when you can estimate your patient’s cardiac ejection fraction. With Exo AI, you can measure LVEF and stroke volume in a few heartbeats in both PLAX and A4C views. Get to answers immediately. Watch our Cardiac AI demo: https://hubs.la/Q02FTyVg0 #POCUS #UltrasoundAI #MedicalImaging #Ultrasound #HandheldUltrasound #MedTech #AI #HealthTech #CardiacAI

𝗗𝗮𝗶𝗹𝘆 𝗡𝗲𝘂𝗿𝗼-𝗯𝗶𝘁𝗲𝘀 🧠: 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗔𝗜 𝗰𝗼𝗺𝗯𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗵𝗮𝘀 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝘀𝗮𝗳𝗲𝘁𝘆 𝗶𝗻 𝗲𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝘆 𝘀𝘁𝗿𝗼𝗸𝗲 𝘀𝘂𝗿𝗴𝗲𝗿𝗶𝗲𝘀 A new paper by researchers at King's College London has highlighted how the use of robots to treat #stroke patients autonomously could widen access to time-sensitive #emergency procedures. ✂️Surgical procedures known as 𝙢𝙚𝙘𝙝𝙖𝙣𝙞𝙘𝙖𝙡 𝙩𝙝𝙧𝙤𝙢𝙗𝙚𝙘𝙩𝙤𝙢𝙞𝙚𝙨 (𝙈𝙏) have become an established treatment for patients suffering from the blocking of large blood vessels, with rapid intervention increasing the likelihood that a patient will be able to care for themselves independently after a stroke. ⌚ The times between the first onset of stroke symptoms until treatment is crucial, as the benefits of MT become more marked the sooner a blood clot is removed. 𝗪𝗵𝗲𝗿𝗲 𝗱𝗼𝗲𝘀 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 𝗰𝗼𝗺𝗲 𝗶𝗻? The initial stage of the MT procedure involves navigating catheters and wires from the groin into the neck vessels. 💡Researchers using computer modelling show that this step has the potential to be undertaken autonomously using AI navigation.   💡They also explored various methods to teach the AI. Using real-life examples to guide the AI, a technique known as 'inverse reinforcement learning', improves its performance compared to the best current methods. ✨Using these new techniques to create models may be able to help navigate unseen patient blood vessels, moving us closer to realising the full benefits of robotic MT with autonomous assistance #neurointervention #thrombectomy #thrombus #stroke #LVO #largevesselocclusion #neuro Harry Robertshaw Thomas Booth Lennart Karstensen Ben Jackson Alejandro Granados https://lnkd.in/eBscwc52