AIQ Solutions的动态

If you missed us at the American Medical Device Summit #MedDeviceUS24, you can still learn about our medical device experts' latest breakthroughs across neurotechnology, diagnostics, casualty triage and more. Read our new blog, 'AI: The New Partner in Medical Device Development' to see how we're leveraging the power of AI to create life-changing medical devices and push the boundaries of what's possible in the patient care and device manufacturing landscape. https://okt.to/i9L4T3

#ukio2024 kicks off NOW! ???? ?? Find our team of imaging AI experts at booth A15 to explore the clinical benefits of integrating artificial intelligence into medical imaging workflows and how hospitals have experienced the following enhancements: ?? 60% enhanced triage for incidental pulmonary embolism ? 98% reduction in outpatient turnaround time for incidental pulmonary embolism ?? 70% increased provider confidence [Mike Burns, Jeremy De Sy, Nicola Emery, PhD]

?? On May 29, 2024, the FDA approved EchoNet, a groundbreaking AI model from Stanford’s Zou Lab, designed to analyze echocardiogram videos! EchoNet automates echocardiographic analysis, drastically cutting down on time and minimizing errors. It matches human performance in assessing key cardiac metrics like ejection fraction and can boost existing echocardiography machines without new hardware. This innovation allows clinicians to focus more on patients rather than data crunching, providing quick, reliable analysis in busy settings. It accurately measures ejection fraction and ventricular volumes, essential for diagnosing conditions like heart failure and cardiomyopathy and determining treatment eligibility, like for the need for devices like defibrillators and pacemakers or certain chemotherapies. EchoNet is a prime example of AI transforming medical diagnostics with tangible benefits in efficiency and quality. What do you think about AI in healthcare? Share your thoughts below! ?? #InnovationInHealthcare #AIRevolution #CardiacCare #EchoNetDynamic #FDAApproved #MedicalBreakthrough Fakeeh University Hospital https://lnkd.in/d-6467uY

A new light-based technique, utilizing advanced imaging technologies, shows promise in non-invasive medical diagnostics. This innovative approach could lead to improved patient outcomes and more precise diagnoses ?????? #medicaltechnology #noninvasivediagnostics #cuttingedgeimaging

Excited to share this insightful webinar with Dr. Jeffrey Niezgoda and Dr. Thomas Serena, where they discuss how SnapshotNIR is transforming hyperbaric oxygen therapy (HBOT) assessments. With NIRS imaging, assessments that used to take an hour can now be done right in the patient’s room. This is a game-changer for efficiency and patient care! ?? If you're interested in advancing your wound care practice and enhancing patient outcomes, I highly recommend watching this webinar. Let’s connect and discuss how this technology could benefit your practice! #WoundCare #HBOT #Innovation #woundcare, #DFU, #skinsubtitutes

Precision Meets Complexity: ML in Predicting Surgical Outcomes for Low Back Pain ?? One recent study explores the potential of machine learning to predict surgical outcomes for low back pain. Considering the multifactorial nature of pain, including prior experiences and diverse contributing factors, ML is proving to be a valuable tool to manage this complexity. By identifying patterns and correlations that are often overlooked, technology can help guide more precise clinical decisions and optimize care strategies. This is where tech meets precision patient care. #AIinHealthcare #PrecisionMedicine #MachineLearning #LowBackPain #SurgicalOutcomes #DigitalHealth

??Unlock patient understanding and loyalty with a slit-lamp digital imaging system. ??? See what we see, build trust, and enhance clarity in diagnoses and communication. #EyeCare #PatientEducation #DigitalImaging #eyecare #optometry #doctor

High-quality data labelling annotations in healthcare are very crucial to the establishment and application of the appropriate #MachineLearning models with sufficient accuracy during medical imaging and also diagnosis. Find more about it:https://lnkd.in/gHzxzYUp #datalabelling

Congratulations to our peers at Google DeepMind and Google Research for the new release of Med-Gemini! More accurate multimodal conversations about medical images, surgical videosh, genomicst, ultra-long health recordst, ECGsp & more with state-of-art performance across multiple benchmarks More accurate, up-to-date answers to medical questions with advanced reasoning and intelligent use of web-search Long-context abilities. Summaries or referral letters from long health records, analyses of dozens of long research PDFs & more https://lnkd.in/ex_3wEWY

The Gemini ecosystem provides a collection of AI models. These models come in various sizes, with different ways of processing information (modality encoders), and built using unique structures (architectures). All the models are trained on a vast amount of top-notch data that covers many formats, like text, pictures, and code. Med-Gemini improves over GPT-4V by an average relative margin of 44.5%.?Using a novel uncertainty-guided search strategy, outperforming our prior best Med-PaLM 2 by 4.6%. This will create vast improvements to Google's MedLM, a family of foundation models fine-tuned for healthcare. Check out MedLM here: https://lnkd.in/g4QD_Nii #GoogleCloud #LifeSciences