How can you leverage machine learning to understand your data? Brandon Randall, VP, Sports Medicine R&D at Smith Nephew shares how to differentiate your strategy. Watch the full discussion here: https://bit.ly/3W2iJgD #MedTech #machinelearning #Innovation #MedTechAI
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Using patient data and digital technologies to create optimal surgical plans and personalized Aprevo® spine fusion devices
This presentation by Dr. Osorio at ISDS in 2023 is really a great explanation and use of the technology platform and how integrating aprevo technology into your practice is better for your patients. Early data, as Dr. Osorio presents, is a game changer in the spine space. Changing the way you 🧠! 👇 is so good, you will want to watch it again.
The Use of Data Analytics and Personalized Interbody Devices to Achieve Targeted Alignment
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Introduction to Clinical Data with #StanfordMedicine Week 4 - Creating analysis ready datasets from patient timelines ✌️ Learned key steps in converting messy data into tabular shapes used in machine learning, missing data and how to handle them and how knowledge graphs helps in analysing data. #MedTech #BiomedicalEngineering #HealthTech
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Data Scientist | AI/ML Enthusiast | Python, SQL, Data Visualization, Excel | Crafting Solutions from Data
Delving into the realm of healthcare analytics! Just wrapped up a fascinating project on Heart Disease Detection using Multiple Machine Learning Models. Leveraging a diverse dataset of medical attributes, we developed robust models to predict heart disease with precision. From data preprocessing to model evaluation, every step was meticulously executed to ensure accuracy and reliability. Excited to share our findings and contribute to the advancement of predictive healthcare. Explore the project on GitHub:https://lnkd.in/gJEP6JZm #HealthcareAnalytics #MachineLearning #HeartDiseaseDetection
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How can data analytics of radiologist performance be used to improve operations? At #RSNA23, we talked to Jeff Maze of Quinsite, Inc. on how the company's technology is being used to do just that. #RSNA2023 #medicalimaging
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We're on a mission to build a world where no one dies from skin cancer. Advances in technology are starting to make that possible, but technology alone is not enough. Part of safely and successfully deploying artificial intelligence as medical device into NHS patient pathways, is gaining trust. Skin Analytics recently formed part of the BSI's video series - Digital Pioneers: Recoding our Future - exploring IT's contribution to society. In this video, our Technology Director Jim Holmes speaks to the importance of data protection and information security to support our mission, highlighting how Skin Analytics has embedded a culture of #informationsecurity through ISO 27001 and built digital trust. 🎥👉 https://lnkd.in/ejajArTB More on Skin Analytics' certifications: https://lnkd.in/emT2Hacx
Creating Digital Trust with Skin Analytics
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#TechTalk Tuesdays are kicking off with our very own Jeffrey Sorenson, as he discusses the potential of #imaging data and why it's so important that researchers utilize it to the fullest. You can check out the full discussion in the #SCRS Webinar blog on our website. Want to join the conversation? Scan the QR code at the end of the video to share your thoughts. https://zurl.co/43UI #clinicaltrials #clinicalworkflow #imagingdata #trialworkflow
Imaging Data Potential
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Healthcare is data rich, but information poor. See how Jeff Maze and Quinsite, Inc. is fixing this issue for radiology in this interview with Brian Casey!
How can data analytics of radiologist performance be used to improve operations? At #RSNA23, we talked to Jeff Maze of Quinsite, Inc. on how the company's technology is being used to do just that. #RSNA2023 #medicalimaging
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Engaging patients in their medication requires an engaging solution to help stay on track in their treatment. Learn how Medisafe is using machine learning to customize engagement. https://lnkd.in/eceChQ5a
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