Liat Feinberg’s Post

The Clock Drawing Test (CDT), a century-old cognitive assessment tool, has evolved significantly with digital advancements. Linus Health's DCTclock™, an iPad-based, AI-enhanced version, incorporates the Boston Process Approach, focusing on the process and errors in cognitive tasks. This evolution highlights the fusion of traditional neuropsychological tests with modern technology, enhancing diagnostic capabilities for cognitive impairments, including Alzheimer’s. Linus Health's platform represents a leap forward in accessible, sophisticated cognitive assessment tools. #DigitalHealth #CognitiveAssessment #Innovation #BrainHealth #AlzheimersResearch #LinusHealth Read more about it here: https://lnkd.in/gZAee8PT

🌐 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐓𝐡𝐞𝐫𝐚𝐩𝐞𝐮𝐭𝐢𝐜𝐬 𝐟𝐨𝐫 𝐌𝐞𝐧𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 🌿 - 📱 Emerging Technology: Digital therapeutics (DTx) are app-based interventions shown to effectively manage mental health conditions like anxiety and depression by offering cognitive behavioral therapy digitally. 🚀💡 - 🌍 Accessibility: Breaking geographical barriers by providing access to those in remote areas or with mobility constraints, digital therapeutics ensure a wider reach of mental health care. 🏞️ - 🔍 Evidence-Based: Robust clinical trials underpin the efficacy of DTx, with evidence supporting their integration into standard care processes, enhancing therapeutic adherence and outcomes. 📊🩺 - 🤝 Personalized Care: Through AI and machine learning, digital therapeutics customize interventions, facilitating adaptive care tailored to individual needs and preferences. 🎯💻 Stay ahead in the realm of mental health research! Discover insights faster with SciQst - your go-to for generating comprehensive biomedical literature reviews. Check it out at https://www.sciqst.com 📚✨ #DigitalTherapeutics #MentalHealth #Innovation #BiomedicalResearch #SciQst

⭐ Would you like to meet us at the American Society of Pain and Neuroscience ASPN 6th Annual Conference in Miami from July 11-14?⭐ 'Building bridges to better health' is this year's theme and among the highlights you will find cutting edge updates and discussions on topics in pain and neuroscience. Are you interested in learning how Paindrainer can empower you and your clinic to remotely monitor patients, improve their quality of life, and alleviate their pain? If so, please contact Erik Frick or Liliam López to schedule a meeting. Paindrainer® is powered by AI and is fully adaptive to each user, a feature called 360° patient-centricity©. The Paindrainer® mobile application enables each user to manage their pain and provides guidance on how to achieve a personalized activity balance to attain an improved functional level and alleviate pain. Together with Paindrainer Care Portal, Paindrainer offers a complete reimbursable RTM solution. #Ai #patientcentric #RTM #clinicalevidence #chronicpainmanagement #paindrainer

Practical use of Mainly.AI's platform in #precisionmedicine. #ai #makeaieasier #mainlyai

The Future is Here Change will never be as slow as it is now. Somebody smart said that. They were right. I have long invested in comprehensive physicals to ensure performance and wellness as a leader (Health by Design). More recently I was exploring the innovative healthcare work of Medici and it included getting a DNA/genetic assessment enhanced by cutting edge #AI and consultation delivered by New Amsterdam Genomics. (thanks, PJ Smyth and Dr Clinton Phillips!) Today I met with scientists and physicians to review what my genetics say about disease risk, diet/nutrition fits, lifestyle choices, athletic considerations, what medications will work for my metabolism and more. Rather than shooting blindly at this diet, trying that dosage of such and such medication or hoping I'm not at risk for certain genetic time bombs - I got to know ME. Now my medical team can do targeted care, performance improving lifestyle plans and even know whenever I do need pharmaceuticals which products and regimen will yield the best results. Imagine what "normal" will be like for my kids. The world is changing FAST. Medicine is getting less barbaric and general - although there is still a lot of ART to the "practice" of medicine. Science and things like AI are sure dialing it in at a pace that encourages and excites me.

👀🧬Exciting news in the world of AI and healthcare! 👨🏼🔬🇬🇧🇩🇪Researchers from University College London and University Medical Center Goettingen have harnessed AI to create a groundbreaking blood test that can detect Parkinson's disease up to seven years before symptoms appear. 😳 ✅This test, which analyzes eight specific biomarkers, has shown 100% accuracy in initial trials. 📈🔬Not only does this innovation predict Parkinson's early, but it has also been effective in identifying the disease in patients with Rapid Eye Movement Sleep Behavior Disorder (iRBD), forecasting its onset years in advance. 😃Early detection could enable treatments to slow or even halt disease progression.🦾 ✅The team is refining the test and developing simpler methods, such as a blood spot test, aiming for widespread availability within 18 months to five years, contingent on funding.💰 🤖🚀This AI-driven advancement promises to revolutionize Parkinson's disease diagnosis and treatment. 👉🏻Follow Invinci AI to stay updated with the latest & greatest AI Developments On Earth. 🌎 📲Secure Your Company’s Future, BOOK Your AI Consultation TODAY. 😉📈 🚀BOOK NOW: https://invinci.ai/ 🤖 #invinciai #ai #healthcare #medicine #parkinson #germany #england #london #göttingen

🚀 Pioneering Advances in Parkinson’s Disease Diagnosis! 🚀 Have you ever thought of detecting Parkinson's Disease just by analyzing vocal sounds? This groundbreaking idea is our latest research, which we proudly presented at the IMSA 2024 Conference. Our study addresses the traditional challenges in Parkinson’s Disease diagnosis, which often rely on subjective clinical assessments prone to errors, especially in the early stages. By leveraging a large dataset with diverse speech-related traits, we’ve been able to push the boundaries of machine learning in healthcare. Key highlights from our research include: - Utilizing a broad spectrum of classifiers and employing multiple data balancing techniques to ensure robustness and generalizability. - Demonstrating the superior accuracy of the Random Forest model, outperforming previous studies. - Developing a user-friendly graphical user interface (GUI) for practical application. - Incorporating SHAP (SHapley Additive exPlanations) analysis to provide transparency and insights into the speech characteristics affected by PD. Imagine a future where diagnosing Parkinson's Disease is as simple as analyzing a person's voice. This innovation not only offers a non-invasive, accessible method but also promises greater accuracy and early detection, ultimately improving patient outcomes. I extend my heartfelt gratitude to my brilliant colleagues Hala Soliman ,Mena Osman ,Mohammed El-Shourbagi and Basant Ahmed , under the expert supervision of Dr. Noura Alrashidy and Dr .mohammed abd el Aziz. for their unwavering support and collaboration. Stay tuned for more updates on our journey to revolutionize Parkinson’s Disease diagnosis! Modern Sciences and Arts University IEEE #ParkinsonsResearch #MachineLearning #HealthcareInnovation #IMSA2024 #Teamwork #DataScience #AI #HealthTech #IEEE

🧠 Aphasia affects as many people as Parkinson's disease, leaving stroke survivors unable to speak or write - but new research offers hope for reconnection. With AHW Momentum Grant funding, researchers at the Medical College of Wisconsin are exploring an innovative solution using artificial intelligence to help people with aphasia communicate again. The team is working with patients who already have brain monitoring devices to collect data that will help train AI systems to understand and decode brain signals. This groundbreaking work could eventually help people with aphasia reconnect with their families, friends, and communities. Visit our website to learn more about this exciting project 🔗 https://lnkd.in/gxXFFw_E #Research #BrainHealth #WisconsinHealth #ArtificialIntelligence #AHWEndowment

Many youngsters have shared their concerns about the rising number of sudden cardiac deaths (SCD) in recent times. It’s a legitimate fear, as these events can happen unexpectedly and often without warning. But what if we could catch the warning signs before it’s too late? One of the most powerful tools we have in cardiovascular health is the ECG. This simple test, when thoroughly analyzed, can detect early signs of heart issues that may lead to SCD. Yet, with technology advancing, we’re discovering that traditional ECG analysis is just the beginning. That’s where Bionic, our Clinical Decision Support System (CDSS), comes into play. Powered by AI and integrated with Large Language Models (LLMs), Bionic is revolutionizing how we interpret ECG data. Not only does it analyze subtle variations in heart activity, but it also learns and improves over time through its memory capabilities. Each analysis helps refine future diagnostics, offering deeper insights and a more personalized approach to heart health. By harnessing the power of AI and innovation, we're creating opportunities to reshape the future of healthcare—bringing smarter, faster, and more accessible solutions that can make a real impact in the world. #HeartHealth #ECG #AI #LLM #HealthcareInnovation #SuddenCardiacDeath #InvestInHealth #CollaborativeInnovation

Have you ever been afraid to move your body after an injury as a result of pain or fear of worsening the injury? That's called "kinesiophobia", according to Ross Zafonte, President of Spaulding Rehabilitation Hospital, and machine learning could be a remedy. More AI research needs to be dedicated to physical medicine and rehabilitation (PM&R) Zafonte said in his keynote at #AICures2024. In 2023, a record high of 56% physicians in their final year of residency training were contacted by recruiters over 100 times, the highest number since 1991. With a population of over 85-year-olds expected to triple in the U.S. by 2050, the existing PM&R shortfall must be urgently addressed. During his keynote, Zafonte spoke about the importance of machine learning not just in offering precision therapy, but also for scaling therapeutic practice. He highlighted robotic-assisted therapies and video tracking techniques as new ways ML has been used in rehabilitation medicine, noting that the remote flexibility of these approaches could significantly benefit patients who are kinesiophobic. #OccupationalHealthMonth #aiforgood #aiforhealth #healthcareinnovation