How AI Supports Chronic Disease Management

2 New Digital Health Developments Using AI and AR to Support Parkinson’s and Neurological Disorders >> 🧠Rune Labs launches StrivePD Guardian, an AI-powered personalized coaching service for Parkinson’s disease, integrating expert coaching, health monitoring, and proactive risk detection 🧠 The service, validated in 2024, demonstrated significant outcomes, including a nearly 50% reduction in emergency room visits and an 80% improvement in medication adherence. 🧠 StrivePD Guardian uses FDA cleared Apple Watch monitoring and AI-driven analysis to provide personalized insights, proactive alerts, and caregiver support 👓Strolll a digital therapeutic firm, secured £10.35m in Series A funding to expand its AR-based physiotherapy solutions for neurological disorders. 👓 The AR glasses gamify physiotherapy exercises for Parkinson’s, stroke, and multiple sclerosis patients, improving mobility, balance, and rehabilitation adherence. 👓 Clinical trials in early 2024 showed full patient adherence, significant gait improvements, and a sevenfold increase in treatment capacity with 67% less staff time 👇Links to articles in comments below #DigitalHealth #AR #AI

AI Agents-Powered Digital Therapeutics (DTx) merge the precision and adaptability of artificial intelligence with rigorously validated, patient-centric digital healthcare solutions. This innovative synergy enables hyper-personalized, scalable, and proactive treatment interventions across a diverse spectrum of medical conditions, including chronic diseases, mental health disorders, and neurological impairments. By integrating real-time data from wearables, electronic health records, and patient-reported outcomes, AI agents dynamically adapt DTx programs, offering predictive care, early risk detection, and continuous monitoring. Leveraging methodologies like cognitive behavioral therapy (CBT), virtual reality, and gamification, these solutions empower patients while enhancing clinical efficiency and reducing costs. The collaboration of AI agents with DTx not only revolutionizes treatment delivery but also fosters equity in healthcare access, creating an ecosystem poised to transform patient outcomes globally. #DigitalTherapeutics #ArtificialIntelligence #HealthTech #AIinHealthcare #DigitalHealth #RemotePatientMonitoring #MentalHealth #ChronicDisease #BehavioralHealth #CognitiveTherapies #PrecisionMedicine #Telemedicine #VirtualHealth #PainManagement #CBT #PersonalizedHealth #NeuroRehabilitation #Oncology

#Oculomics involves applying #AI on retinal images to identify systemic and ocular disease. 📄 #Oculomics applied in a real-world setting to achieve improved clinical and financial outcomes is “Healthcare from the Eye.” 📄 2025 JAMA, Journal of the American Medical Association Ophthalmology PAPER: https://lnkd.in/eBVbEikr "Healthcare from the Eye" involves addressing multiple factors including: (1) #Technology (efficient and scalable data and AI management) (2) #Process (improved access to the technology and streamlined workflows) (3) #People (engagement, reimbursement)   Last week at the International Association for Research in Vision and Ophthalmology (#ARVO) conference, Andrea Cooley, DO, FACOS and Jessica Sexton (University of Texas at Tyler School of Medicine) shared their real-world experience of implementing AI (“Healthcare from the Eye”) in a rural clinic.   KEY FINDINGS 👁️ National rate for diabetic retinopathy (DR) screening is 60%.  🚨 The DR screening rate in the rural clinic was 0%. 🚨 First 50 patients screened using AI, 20% had moderate-to-severe DR. 🚨 The average HbA1c for this group was 10.5% 👀 If these high-risk individuals were to go untreated, they would lose their vision. ⏰ Goal is to bring these persons to care asap and continue to screen more patients.   Andrea Cooley, DO, FACOS: “Finding the patients is just the start. The barriers that prevent our patients from getting screened are the same barriers that prevent them from controlling their diabetes, establishing eye care, traveling to appointments, and affording treatment."   "Healthcare from the Eye is more than diagnosis of eye disease. This is an opportunity to build innovative population level models for chronic disease prevention and management."   "Right now, we’re living in a moment where things that felt insurmountable yesterday are possible today because AI is a tool to amplify our workforce, leverage data, and infuse innovation for everyone."   "This is how we transform the healthcare system from the inside out: by putting patients and health care teams back in the center where they belong."   LAUNCH OF ALLIANCE FOR HEALTHCARE FROM THE EYE 📣 Today (May 13, 2025), healthcare leaders from health systems, provider groups, payers, retail, pharmaceutical and life science, non-profits, and technology organizations announced the launch of “Alliance for Healthcare from the Eye” (#AHE). 📣 This is a multistakeholder consortium whose collective goal is to screen large populations for systemic and ocular disease using AI applied on retinal images and to bring high risk individuals to care in a timely manner.  📣 PRESS RELEASE: https://lnkd.in/eQuHumkc

The headline that caught my eye this week was "AI Trial to Spot Heart Condition Before Symptoms." Here's my take: Artificial intelligence holds substantial promise to improve quality and reduce costs in healthcare. One example from Leeds involves an algorithm that scours medical records for early warning signs of atrial fibrillation (AF) before symptoms appear — potentially preventing thousands of strokes. The results suggest that by analyzing existing medical records for patterns that human physicians might miss, AI can flag high-risk patients for early intervention. The trial has already identified cases like a 74-year-old former Army captain who had no symptoms but can now manage his condition effectively. This is particularly significant given that AF contributes to around 20,000 strokes annually in the UK alone. As Professor Chris Gale notes, too often the first sign of undiagnosed AF is a stroke — an outcome this technology could help prevent. The broader implication here is about AI's role in healthcare: not replacing physicians but augmenting their ability to identify risks earlier and intervene before conditions become critical.