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AI tool aids in diagnosing autism, according to U of L researchers. #AutismDiagnosis 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Researchers at the University of Louisville have developed an AI tool that could potentially aid in the diagnosis of autism. The tool uses machine learning to analyze brain scans and identify patterns associated with autism. This could potentially lead to earlier and more accurate diagnosis of the condition. The researchers hope that this technology will ultimately improve outcomes for individuals with autism. Hashtags: #chatGPT 1. #AIDiagnosisAutism 2. #AutismResearch

Employees With ADHD Are Turning to AI, But It's Not a Cure Apps can help neurodivergent workers, but experts urge caution. Read more here: https://lnkd.in/dJpfYkgP . . Like 💝 Comment below ⏬ Share ✅ For More Such Updates Follow Us @qnewshub @qnewscrunch . . #qnewshub #qnewscrunch #StartupFunding

🚀 AI breakthroughs in early autism detection for toddlers! 🌟 - Machine learning identifies autism earlier. 🌱 - Potential life-changing benefits for families. 🏠 - Amazing work by Dr. Kristiina Tammimies! 👏📚 How will AI shape future healthcare? Share your thoughts! 💬 #HealthcareInnovation #AI #AutismAwareness #MachineLearning #EarlyIntervention

How AI is Transforming Early Autism Diagnosis Artificial intelligence (AI) is reshaping healthcare, particularly in early autism diagnosis. Autism spectrum disorder (ASD) affects millions, and early detection is key to improving outcomes. Traditional diagnosis often relies on observing behaviors that only become apparent as a child develops. AI, however, can detect subtle signs far earlier, offering transformative possibilities for early intervention. How AI Supports Early Detection of Autism 1. Behavioral Analysis: AI analyzes videos of a child’s behavior, detecting subtle patterns in eye movement, expressions, and gestures, allowing for earlier identification. 2. EEG Analysis: AI-driven EEG technology can identify brainwave patterns linked to autism, making it possible to detect signs in infancy. 3. Speech and Language: By examining tone, rhythm, and vocabulary, AI can spot atypical language development, an early sign of autism. 4. Genetic Data: AI models analyze genetic data to pinpoint variations linked to autism, aiding in risk assessment. 5. Support for Parents: AI-powered tools provide parents with real-time insights, helping them track developmental milestones and know when to seek a professional evaluation. #AI #AutismDiagnosis #HealthcareInnovation #EarlyDetection

AI-assisted early detection of Autism Spectrum Disorder (ASD) through sensory and behavioral analysis. Researchers at the University of Arkansas are leading an innovative project where machine learning identifies subtle sensory cues in both neurotypical children and children with ASD. Using sensory stimuli like specific smells and tastes—such as peppermint and lemon, which are known to trigger strong reactions in children with ASD—AI algos analyze biometric data and behavioral responses. This AI-driven method aims to detect atypical responses that could serve as early indicators of autism, enabling faster and potentially more accessible screening for families. Their ultimate goal of is to create a reliable, low-cost tool that complements traditional diagnostic approaches, which often require time-intensive evaluations. By providing an efficient first-step screening, AI could empower parents to seek timely professional insights and early intervention when needed. Credits : University of Arkansas click "Follow" for more interesting insights and resources on AI/ML & Data Science: Arpit Singh • • #artificialintelligence #machinelearning #deeplearning #computervision #innovation #ai #technology

As someone with ADHD, I've made a game-changing discovery: generative AI tools, particularly large language models, are remarkably effective in helping overcome task-related challenges. I recently had the opportunity to share these insights during an online talk for "Kavim U'Machshavot", the Israeli Association for ADHD. The response was overwhelming – this approach could be transformative for many. Whether you're managing ADHD yourself or supporting others who do, these generative AI strategies could significantly improve productivity and focus. If you're interested in learning how generative AI and language models can support ADHD in professional settings, you can find the link to the recorded talk in the comments below. #ADHA #GenerativeAI #LanguageModels #Productivity

IN OUR TIMES, NO ONE HAD ADHD BECAUSE IF WE MISSBEHAVED, we regret it very quickly… 🤔 Can you cure ADHD with proper spanking? Not really. But I still hear those “stories” of “wise, old people”. Good thing we have science. And AI. 🤖 Help in diagnosing and suggesting possible causes and treatments can be vital in taking care of children's psychological health! Konrad Komnata — a real MedTech specialist who understands the role of AI — shared this and much more. He not only talks but implements successful solutions. Here is a full story about AI, Nivalit and life. Lets spend some Quality Time with Konrad learning about him, his perspective and his story! 🔗 🔗🔗 https://lnkd.in/dH27HRK6

Kuldeepuk Kohli is advocating for a better life for all with a focus on the application of Artificial Intelligence in supporting healthcare professionals and caregivers in the treatment of autistic children and adults. Recent studies have shown that AI, especially the Exception and ResNet50V2 architectures, have achieved remarkable accuracy in diagnosing autism spectrum disorder (ASD). This research underscores the significant impact AI could have in enhancing the diagnosis, treatment, and overall care of individuals with ASD. #Healthcare #AI #AutismAwareness

AI: A New Tool in Early Autism Detection? 🤳🏻 Researchers have developed an AI-based screening system that could identify toddlers at risk of autism with about 80% accuracy. This machine learning model analyzes data from children under two years old, using 28 easily obtainable measures to predict the likelihood of autism. While the model shows promise, experts caution against early diagnoses, noting that some children may develop normally despite early signs. The system's effectiveness in identifying severe cases underscores its potential, but further development is needed. 💻 https://lnkd.in/dusVb5-K ✍ Post prepared by Amir Nakhei | AI Division #AutismScreening #ArtificialIntelligence #EarlyDetection #MachineLearning #PediatricHealth #AutismResearch #AIinHealthcare #AutismAwareness

👀 Could eye-tracking technology powered by AI be the future of autism detection? In a world where early diagnosis is critical, this innovative project on Autism Detection Using Eye-Tracking and Machine Learning explores a revolutionary approach. By tracking and analyzing subtle eye movement patterns, machine learning algorithms are helping identify early signs of autism more accurately and non-invasively. This breakthrough not only has the potential to transform the way autism is detected but could also lead to earlier interventions, making a huge difference in the lives of individuals and families affected by autism. Want to know more about how this cutting-edge tech is shaping the future of healthcare? Dive into the details here: https://lnkd.in/dWeYz7rB #MachineLearning #AutismDetection #EyeTracking #HealthcareInnovation #AI #DataScience #AutismAwareness #TechForGood