KAUST CEMSE’s Post

Do you want to learn more about the applications of Machine Learning in Healthcare? In our latest "Did you know" video, we have delved deep into how Machine Learning, a subset of AI, is being used for disease detection like never before. Due to their ability to collect and process large amounts of medical data from genetic data to imaging and patient records, they can surpass human clinicians in detecting subtle abnormalities. #aiinhealthcare #healthcareinnovation #InnovationInHealthcare #artificialintelligence #machinelearning #machinelearningalgorithms #FutureOfHealthcare #DiseaseDetection #ReviveMedicalTechnologies #RMT

🔍 Excited to share a new blog post on "Decoding Decision Reasoning: A Counterfactual-Powered Model for Knowledge Discovery." In this article, we explore the crucial need for discerning the rationale behind AI model predictions in medical imaging, especially in early disease detection and prognosis tasks. Conventional explanation methods face challenges in identifying decisive features in medical image classifications, but our explainable model offers both decision reasoning and feature identification capabilities. Check out the full post here: https://bit.ly/3XHy6gT #AI #MedicalImaging #DeepLearning

📣 Foresight: What's it all about? 🤷🏼♀️ Simply Put: It makes your early stage research more efficient! How, you ask? ❔❔🤔 Prioritizing study review through highlighting abnormal regions in tissues. "Can I trust its accuracy?" Absolutely- This AI Decision Aid Tool was trained on 300 000 nonclinical slides! 🔬 Currently available for rodent models. 🐁 Foresight: The Game Changer for Early Stage Research! 🚀 Comment "interested" below for more info ⬇️ #Excitingnews #AI #digitalpathology #Foresight #Patholytix #Deciphex #CRL

In the rapidly evolving field of precision medicine, AI is playing a pivotal role. 🧬 Our latest whitepaper offers an in-depth look at how AI is enabling personalised medicine and transforming predictive healthcare. This resource will help healthcare professionals, researchers, and policymakers understand the opportunities and challenges presented by the integration of AI into precision medicine. Check it out. 👇 https://lnkd.in/enq8Pzgr #ClinicalTrials #PrecisionMedicine

Here's an interesting research paper, where they've enhanced medical image segmentation by introducing an adaptive layer to leading Deep Learning models like UCTransNet. This innovation dynamically adjusts kernel sizes, tackling the challenge posed by diverse anatomical structures and variations in medical imaging equipment. Their method not only adapts to the unique scales and configurations of medical features but also significantly outperforms traditional CNNs. Rigorous testing on benchmark datasets like SegPC2021 and ISIC2018 demonstrates superior accuracy and performance, marking a notable advancement in clinical applications. Seyed M.R. Modaresi, Aomar Osmani, Mohammadreza Razzazi, Abdelghani Chibani Paper: https://lnkd.in/gzqwPvnF #ai #deeplearning #machinelearning #research

Scientists from Janelia and Google DeepMind have crafted a virtual fruit fly infused with AI, marking a revolutionary step in simulating real-life biological behaviors. This innovation combines an anatomically precise model with advanced AI to mimic the flight and walk of a fruit fly, offering a new lens through which we can explore complex biological systems. Why is this important? This breakthrough has profound implications for healthcare, potentially transforming drug discovery and disease modeling. What are your thoughts on how this advancement could shape the future of healthcare and research? Learn more about this fascinating development here: https://lnkd.in/gx5StutQ Credit: Vaxenburg et al #HealthcareInnovation #AIBiology #FutureOfMedicine #GoogleDeepMind #AiInHealthcare #NewTechnology #AI

It can be fun to be a part of the hype and feel the energy that comes from new shinny objects. But we are moving past the hype of AI and next week will drop our March COVERstory focused on the reality state of AI in healthcare. Where does the rubber meet the road? Excited to share this piece next week from Ben Glass, Tafadzwa Muguwe, M.D., and Eric Walk MD, FCAP as they share several tangible research studies showing progress at the crossroads of pathology and AI. #HealthDataManagement #DigitalPathology #PrecisionMedicine #AIinHealthcare #HealthEquity

In a new PNAS Nexus editorial, National Academy of Medicine President Victor Dzau and colleagues discuss key issues surrounding the use of AI in health and medicine, including equity across the innovation cycle, barriers to entry for large-scale AI, and flexible governance to maximize impact. Read here: https://ow.ly/z4tr50QkNvZ #ArtificialIntelligence #Medicine #HealthTech

🚀💓 Ever marveled at the power of AI? Did you know it can now predict inherited cardiac arrhythmia? 😮 ECG and Artificial Intelligence, when combined, bring about an exciting development in the field of Precision Medicine. Digging into the deep, this incredible technology lights up the path towards revolutionizing healthcare and saving countless lives. 🏥💡🌠 #AI #HealthcareInnovation #PredictiveMedicine #CardiacHealth #ECG #ArtificialIntelligence #PrecisionMedicine #RevolutionInMedicine https://lnkd.in/gEaHWvy6

More patients per day with a new way of working At FUESMEN, the change to MR Workspace with dual monitor setup helped the team in driving an efficient workflow. Dr. Noceti appreciates how scans, for example in brain studies, are automatically positioned and angulated, thanks to AI [1]. He finds it amazing how fast post-processed angiography and spectroscopy images appear on the second screen, which allows him to see relevant information quickly and, on several occasions, he could skip subsequent sequences, which shortens overall exam time, particularly for complex studies. Read more in the article: https://lnkd.in/diCqV95Z #MR #MRI #MRWorkspace [1] According to the definition of AI from the EU High-Level Expert Group.