Join us on June 5, 2024, at 1 PM (ET) for a webinar on tackling the reproducibility and generalizability challenges in #MachineLearning ! Learn strategies for data accessibility, leakage prevention, preprocessing, algorithm selection, and more to ensure reliable ML outcomes. Farhad Maleki Society for Imaging Informatics in Medicine (SIIM) Register: ⬇ https://lnkd.in/dqrDUg2J Objectives: - Equip participants with strategies to facilitate data accessibility, prevent data leakage, and standardize data preprocessing to enhance the reproducibility of machine learning projects. - Provide insights into selecting appropriate algorithms, promoting code sharing, and managing dependencies effectively to achieve reliable machine learning outcomes. - Advocate for the adoption of comprehensive and transparent research documentation standards to improve the clarity and reproducibility of machine learning research. - Demonstrate how to utilize advanced tools and frameworks and adhere to community standards to significantly improve the reproducibility of machine learning systems. #ML #DataScience #Healthcare #Webinar #AI
Zahra Azizi, MD, MSc’s Post
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Less than a week till #HRS2024! #HeartRhythmSociety Join us on May 19 for "Harmonizing Heart Health: Exploring the Synchronization of Rhythm Control and Digital Health" Discover insights on arrhythmia management, antiarrhythmic drugs, digital health, and remote patient monitoring. ⬇️ Chairs: Jagmeet Singh MD, PhD, MGH David Spragg, MD, Johns Hopkins Hospital Digital Health and Innovation: How Will ChatGPT, DALL-E and Generative AI Change Heart Rhythm Cardiology? 9:30am-9:42am May 19 (Eastern) Zahra Azizi Revolutionizing Cardiac Monitoring: The Convergence of Digital Health and Rhythm Control 9:42am-9:54am May 19 (Eastern) Mintu Turakhia Mintu Turakhia MD MS How Can Partnerships Between Academia and Industry Improve Management of Cardiac Arrhythmias? 9:54am-10:06am May 19 (Eastern) Nino Isakadze Nino Isakadze Advice from an FDA Expert: Barriers, Implementation and Adoption of Digital Health Technology 10:06am-10:18am May 19 (Eastern) ANEESH DEORAS Q&A 10:18am-10:30am May 19 (Eastern) Stanford Center for Digital Health (CDH) Stanford University School of Medicine iRhythm Technologies, Inc. Stanford University #Cardiology #DigitalHealth #AIinArrhythmia #HRS2024 https://heartrhythm.com/
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🚨The first randomized trial of medical #AI 🤖💻⬇️☠️ reduced mortality! - ‼️AI-enabled #ECG identifies high-risk hospital patients, reducing 90-day mortality: 3.6% vs. 4.3% (HR = 0.83, 95% CI = 0.70–0.99) - Study➡️15,965 patients, 39 physicians, multisite trial - Intervention➡️AI reports + alerts to physicians on high-risk mortality - ‼️Greatest benefits for patients with high-risk ECGs: mortality reduction (HR = 0.69, 95% CI = 0.53–0.90) - ‼️High-risk patients received more intensive care; cardiac death significantly lower: 0.2% vs. 2.4% (HR = 0.07, 95% CI = 0.01–0.56) - ClinicalTrials.gov : NCT05118035 https://lnkd.in/dw29XcPE Nature Portfolio #DoesAISavesLives?
AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial - Nature Medicine
nature.com
