CancerLLM is 7.61% Better Enhancing clinical research and healthcare delivery...
The Utility of Multimodal AI in Medicine...
Can LLM dialogues become a template for psychological exploration?
‘Right to Repair for Your Body’: The Rise of Make Your Own Medicine
Do People Prefer Human Doctors and Psychiatrists or AI?
Artificial intelligence for early detection of lung cancer...
The Case for Artificial Intelligence in Home Care...
Why AI Will Break Biotech’s Death Spiral
Doctor, Bot, or Both
The Utility of Multimodal AI in Medicine...
Can LLM dialogues become a template for psychological exploration?
‘Right to Repair for Your Body’: The Rise of Make Your Own Medicine
Do People Prefer Human Doctors and Psychiatrists or AI?
Artificial intelligence for early detection of lung cancer...
The Case for Artificial Intelligence in Home Care...
Why AI Will Break Biotech’s Death Spiral
Doctor, Bot, or Both
UNDER CONSTRUCTION 9/24
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Innovaccer Recognized in Frost & Sullivan Report for Advancing AI in Healthcare Delivery...
Pioneering Depression Treatment With Groundbreaking Brain-Computer Interface (BCI) + AI... 🚼AI Bias In The U.S. Maternal Health Crisis? The testing of AI in medicine is a mess👩⚕️👨⚕️🚒🏥 👩⚕️ChatGPT Is Absolutely Atrocious At Being a Doctor A personal trainer whose clients include 90 year olds shares her biggest tip for staying strong and healthy ‘Right to Repair for Your Body’: The Rise of DIY, Pirated Medicine
Jason Koebler.·Sep 4, 2024 at 9:53 AM
I’ve been videochatting with Mixæl Swan Laufer for about 30 minutes about an exciting discovery when he points out that to date, the best way he’s been able to bring attention to his organization is “the old school method of me performing a bunch of federal felonies on stage in front of a bunch of people.” I stop him and ask: “In this case, what are the felonies?” “Well, the list is pretty long,” he said. Here. |
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‘Right to Repair for Your Body’: The Rise of Make Your Own Medicine
Do People Prefer Human Doctors and Psychiatrists or AI? Artificial intelligence for early detection of lung cancer... The Case for Artificial Intelligence in Home Care... Cracking the code: Deploying an AI-enabled nursing workforce...
Artificial intelligence helps doctors uncover 3 new types of Parkinson’s disease... AI Tool Offers More Accurate Detection of Immune-Related Adverse Events in Cancer Patients... Medical Robots Market Report: Technological Advancements in Medical Industry and Growth of AI to Boosts the Demand... $10M gift launches new Mayo AI program How Artificial Intelligence is Used in Healthcare... Your tongue could be key to early disease detectionADELAIDE, Australia — An ancient medical technique could be making a high-tech comeback. Researchers from Australia and Iraq have developed a cutting-edge system that can diagnose diseases just by looking at your tongue.
This isn’t your grandmother’s “stick out your tongue and say ‘ah'” — it’s artificial intelligence meets traditional Chinese medicine, and it could revolutionize the way we detect illnesses. Here. https://www.healthcareitnews.com/
https://www.beckershospitalreview.com/innovation/10m-gift-launches-new-mayo-ai-program.html |
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Replaying Our Dreams: The Future of AI-Driven Dream RecordingImagine waking up in the morning, grabbing a cup of coffee, and then replaying your dreams from the night before like a movie.
Sounds like science fiction, right? But, according to experts, the technology to make this possible may be closer than we think. Recent developments in brain imaging and AI have brought us one step closer to making dream recording a reality. A 2023 Japanese research study used functional magnetic resonance imaging (fMRI) scanners to record brain activity in sleeping participants. The study focused on sleep onset, where people experience visual imagery, and used machine learning to classify perceived objects based on brain activity. While this is a significant breakthrough, it's still a far cry from recording and replaying full-blown dreams. To move from sleep onset imagery to full dream recording, researchers need an enormous amount of detailed fMRI data from dreaming subjects. However, gathering this data consistently and reliably is a significant challenge. Additionally, accurate dream recollection is crucial for verifying the AI's predictions about what was dreamed. Assuming researchers can collect the necessary fMRI data, the next step would involve using this data to train an AI capable of translating brain activity into a visual or textual representation of the dream. Generative models, such as OpenAI's Sora and Google DeepMind's Lumiere, can create video sequences that mimic the chaotic and surreal nature of dreams. However, these AIs aren't actually "reading" minds; they're matching patterns of brain activity to images they've encountered before. The idea of recording and replaying dreams raises several ethical questions. For instance, how would this technology impact our personal experiences, and could individuals feel pressured to share or manipulate their dreams? How accurate would these recordings be, and could they lead to misunderstandings or misinterpretations? Furthermore, how would we overcome the hurdles of bulky and noisy fMRI machines to record brain activity without disturbing sleep? While we're still years, if not decades, away from practical application, the rapid pace of AI research and development suggests that someone, somewhere, is already working on dream-recording AI. As research into brain activity and AI continues to evolve, what seems like science fiction today could very well be tomorrow's reality. Replaying our dreams remains in the realm of speculation, but the possibility of making it a reality is exciting and thought-provoking. As we continue to push the boundaries of AI and brain imaging, we may one day be able to relive our dreams like a movie. Until then, our dreams remain our own – fleeting, mysterious, and unrecorded. Generated by Meta Llama 3.1-405B 👩Google Taps AI to Revamp Costly Health-Care Push Marred by Flops...
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