Rahimi's Lab
@Rahimis_lab
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Canada Research Chair in AI and Advanced Digital Primary Health Care at McGill University and Mila-Quebec AI Institute
Montreal, Quebec
Joined October 2024
Rahimi Lab presented at Research Canada Innovate! Ting Wang shared our work on integrating EDI in AI for healthcare, introducing the EDAI Framework for ethical, inclusive AI. #EquityInAI #HealthTech #RahimiLab
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📢 #Recrutement | #Femmes 50+ #recherchées pour une étude sur la #prévention des maladies #cardiovasculaires avec l’IA! 💙 Portez une bague intelligente, répondez à des questionnaires et recevez jusqu'à 100 $. Intéressée? 👉 cardio-twin.fmhs@mcgill.ca #SantéNumérique
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📢 Now #Recruiting! | #Women 50+ needed for a study on AI-driven #cardiovascular disease #prevention! 💙 Wear a smart ring, answer questionnaires & receive up to $100. Interested? 👉 cardio-twin.fmhs@mcgill.ca #DigitalHealth #AI #MedicalResearch
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How can we create better evaluations for healthcare AI? Ensuring fairness and accuracy is key to patient-centered care. Learn more from @ScienceNews : .#HealthcareAI #AIEthics #RahimisLab.
sciencenews.org
AI medical benchmark tests fall short because they don’t test efficiency on real tasks such as writing medical notes, experts say.
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We are excited to introduce Rahimi Lab’s HOPE Model—an AI-powered system using Wi-Fi sensing to detect early signs of depression in older adults. No wearables, no invasive tracking just smart, non-intrusive care. #AI #MentalHealth #ElderCare #Depression
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Can AI help #primary care #physicians support #adolescent #mentalHealth? .Our study explores #AI-powered #tools for #early #detection & #treatment, but challenges like bias & ethics remain. Collaboration is key to ensuring AI truly benefits #patients.Read:
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AI is reshaping healthcare, but how can we ensure it's ethical, inclusive, and impactful? At Rahimi’s Lab, we’re developing AI-driven solutions to improve patient care focusing on fairness, accessibility, and real-world impact. #ai #ethicalAI
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❌ Myth: AI is a brand-new technology. ✅ Reality: AI concepts date back to the 1950s!. 📍 1950s – Alan Turing & the Turing Test.📍 1997 – IBM’s Deep Blue beats Kasparov.📍 2010s – AI assistants like Siri, Alexa.📍 2023 – ChatGPT & generative AI take off.
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❌ Myth: AI models never make mistakes. ✅ Reality: AI is only as good as its training data. If that data is biased, incomplete, or flawed, AI makes errors. ⚠️ Facial recognition AI has shown biases. AI chatbots can spread misinformation. AI isn’t perfect—it’s just predictive!.
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❌ Myth: AI will take over all human jobs. ✅ Reality: AI automates repetitive tasks, but it also creates new job opportunities in AI development, ethics, and more. Instead of replacing us, AI enhances human work—think of AI-assisted doctors, artists & writers! ✍️💡.
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❌ Myth: AI has human-like intelligence, emotions, and independent thought. ✅ Reality: AI doesn’t "think"—it processes data & patterns. It lacks emotions, creativity, and real understanding. AI can generate ideas, but it doesn’t "feel" or "know" things like humans do! 🤯.
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🚀 AI Myths vs. Reality 🤖💡. AI is everywhere, but there’s still a lot of misinformation! some of the biggest AI myths 🧐👇. #AI #MachineLearning #Tech
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4/ 🔹 Deep Learning (DL) is a subset of ML that uses neural networks to process vast amounts of data. It powers self-driving cars 🚗💡, face recognition 📸, and even AI chatbots like ChatGPT!
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3/ 🔹 Machine Learning (ML) is a subset of AI that learns from data instead of following fixed rules. It gets better with experience – like Netflix recommending what to watch next 🍿 or fraud detection in banking! 💳
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2/🔹 Artificial Intelligence (AI) is the broadest term. It refers to machines that can mimic human intelligence – learning, reasoning, problem-solving, and decision-making. Think smart assistants like Siri or Alexa! 🎙️
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🚀 AI, ML, and DL – What’s the Difference? 🤖💡. We hear these terms all the time, but do you know how they’re connected? Let's break it down in this thread! 🧵👇.#AI #MachineLearning #DeepLearning #ML #DL #artificalintelligence
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A special thanks to Fonds de recherche du Québec, Natural Sciences and Engineering Research Council of Canada (NSERC), Jewish General Hospital Foundation, and Canada research chairs for making this research possible. #AI #Mental_Health #Artificial_Intelligence #AiInMedicine.
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Mental health challenges in adolescence can have lifelong consequences, making early identification and management crucial. Our study explores PCPs' challenges in addressing adolescent mental health and their attitudes toward AI as a potential solution.
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6 Most important moments in AI history!.1956: The Dartmouth Conference.1958: The Perceptron is Born.1966: ELIZA - The First Chatbot.1997: Deep Blue Beats Kasparov.2000: AI winter ends.2020: GPT-3 Changes the Game
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