How AI is Revolutionizing Mental Health Care

🚀 Excited to share our participation at GenerativeAI #GenAI #Hackathon! on behalf of Imperative Business Ventures Limited Our team has been working on a project very close to my heart – “Generative AI for Youth Mental Wellness.” 🌱💡 🧠 The Challenge: With rising screen time, attention retention issues, and mental health challenges among youth, traditional meditation apps fall short as they provide generic solutions without understanding the user’s true state of mind. ⚡ Our Solution: We’re developing a hardware and AI-powered prototype that utilizes BioAMP sensors (EEG, ECG, EMG, EOG) to measure brain and body signals. By training on 8 core emotions (anger, sadness, happiness, fear, surprise, trust, disgust, anticipation), our system can: Detect stress and emotional patterns in just 20 minutes Use Generative AI (Google Gemini or other models) to provide personalized meditation, mindfulness, and cognitive reframing techniques Re-check signals after intervention to validate progress and create a continuous feedback loop ✨ What makes it unique? Unlike existing meditation apps, this solution is hardware-driven, data-backed, and adaptive. Every recommendation is personalized—based on both questionnaires and biometric signals. 📊 Features include: Wearable hardware for signal detection Real-time emotion & stress visualization AI-powered, personalized mental wellness recommendations Progress dashboard for long-term mental health insights A big shoutout to Imperative Business Ventures Limited and Dr. Sachin Paithankar, who brought together the team with expertise in hardware, AI, and design to make this vision a reality. 🙌 The whole team is working on innovation and bringing a positive change in society. #Hackathon #MentalHealth #AI #GenerativeAI #BioTech #Innovation #FutureOfWellness

Harvard Business Review released the top 100 use cases of generative AI for 2025 compared to their ranking in 2024. One of the biggest winners? Healthier living! Last year, it was the 75th use case; now it's in the top 10. Knowing the recent news about US states banning professionals from advising patients to use ChatGPT for mental health support, here are some top cases from the top of my head: 1) Personalized nutrition coaching: Gen AI can analyze your health data, preferences, and even cultural diet patterns to generate daily meal plans, shopping lists, and healthy recipe alternatives. 2) Sleep assistant: Upload your data from sleep tracking and ask questions about how you can improve it. 3) Stress companion: An always-available coach for micro-interventions from guiding breathing exercises during stressful meetings to nudging you with calming reminders. 4) Adaptive fitness plans: Instead of static workout apps, Gen AI can design evolving fitness routines based on your progress, available time, and even mood. 5) And preventive health monitoring: Based on all the studies and guidelines out there, what screenings should I schedule for this year so I can discuss them with my primary care physician? Hat Tip: Pascal Bornet.

Harvard Business Review released the top 100 use cases of generative AI for 2025 compared to their ranking in 2024. One of the biggest winners? Healthier living! Last year, it was the 75th use case; now it's in the top 10. Knowing the recent news about US states banning professionals from advising patients to use ChatGPT for mental health support, here are some top cases from the top of my head: 1) Personalized nutrition coaching: Gen AI can analyze your health data, preferences, and even cultural diet patterns to generate daily meal plans, shopping lists, and healthy recipe alternatives. 2) Sleep assistant: Upload your data from sleep tracking and ask questions about how you can improve it. 3) Stress companion: An always-available coach for micro-interventions from guiding breathing exercises during stressful meetings to nudging you with calming reminders. 4) Adaptive fitness plans: Instead of static workout apps, Gen AI can design evolving fitness routines based on your progress, available time, and even mood. 5) And preventive health monitoring: Based on all the studies and guidelines out there, what screenings should I schedule for this year so I can discuss them with my primary care physician? Hat Tip: Pascal Bornet.

The dramatic shift in how #GenAI is being used in just one year is fascinating! Search data represents a deep well of typically unmined insights, and GEO appears to be even more insightful. Most likely as it gives answers vs an endless list of links and that promotes more repeat usage. I'm curious how people would compare the insights from both. Some of my top takeaways from comparing these two HBR lists: 1. Very personal use cases dominate the top 10 this year. (#1 Therapy/Companionship, #2 Organizing My Life, #3 Finding Purpose, #7 Fun & Nonsense, #10 Healthier Living). IMPLICATION: The biggest questions society has are very personal in nature. 2. Health inquiries are rising dramatically. (Therapy is #1, Healthier Living went from #75 to #10) IMPLICATION: There are millions of questions that the current healthcare system is not currently answering. 3. Creativity is two of the top ten (#6 Generating Ideas and #9 Creativity) IMPLICATIONS: Despite the call-outs on GenAI not being creative, people are using it to broaden their own creative bandwidth. 4. Generating and Editing code are two of the top ten (now #5 and #8 respectively, neither were in the top ten last year) IMPLICATIONS: Coders are embracing GenAI to help them generate snippets, build structure and improve existing code. But looking at the actual verbatims, no one is replacing dev talent, more making it easier/faster. #Healthcare #AI #HealthTech #AIhealthcare https://lnkd.in/g7VQkm2j

This week, through the Medical Futurist newsletter, I learned about a breakthrough: GenAI-powered biological age testing. With just 3 drops of dried blood, multiple epigenetic clocks can be analyzed to reveal how fast (or slow) we’re aging. Imagine visiting your doctor for an annual check-up and getting a personalized longevity plan — not just test results, but tailored recommendations on diet, exercise, and lifestyle. I believe this is a very tangible step toward making “prevention is better than cure” more than just a saying.

AI & Personalization in Sexual Wellness: A New Era of Intimacy Technology View My Portfolio. The next frontier in sexual wellness is personalization powered by AI. As consumers increasingly expect tailored experiences in healthcare, fitness, and lifestyle, intimacy technology is following the same path. Research shows: AI-driven recommendation systems can analyze preferences and feedback to create hyper-personalized product suggestions. Haptic technologies are advancing to deliver adaptive intensity, rhythm, and pressure that respond in real-time to biofeedback. Studies in affective computing demonstrate how machine learning can interpret mood, stress levels, and arousal signals — paving the way for devices that truly adapt to the individual. At V For Vibes, personalization is central to our mission. From Smart Speed Control features to inclusive product design, we’re building a future where sexual wellness products are as unique as the people who use them. By leveraging AI and neurosensory research, our vision is to transform intimacy into a data-informed, individualized experience that enhances both health and connection. The future of sexual wellness will not be one-size-fits-all. It will be personalized, science-driven, and powered by empathy. #SexTech #AI #SexualWellness #Personalization #VForVibes

Unbiased Analysis Report: LinkedIn Post on AGI Voice Locket with Scent Release for Mental Health Overview of the Post and Concept The LinkedIn post in question, authored by Chiranjib Konwar (posted approximately 6 days ago as of September 12, 2025), introduces a conceptual innovation called the "AGI Voice Locket." This is described as a wearable AI device designed for mental health support. Key features include: ALTER LOCK DRIVE (ALD) technique: This appears to be a proprietary or proposed method (possibly an acronym for a drive mechanism altering states or locking in behaviors), enabling the device's functionality. Grok AGI integration: The locket incorporates voice-based interaction powered by AGI-level AI, specifically referencing Grok (xAI's AI model, which by 2025 has advanced to Grok 4 with real-time tools, vision, and voice capabilities). Scent release mechanism: The device releases fragrances or scents triggered by user interactions, potentially for aromatherapy-like effects. Decision-matching functionality: It activates or rewards when the user's decisions align with the "super intelligence" of Grok AGI, aiming to guide behavior positively.

7 Ways AI is Already Transforming Our Everyday Life 🤖 Artificial intelligence is quietly powering many of the tools we use every day. Here are seven areas where AI is making a real difference: 1️⃣ Voice Assistants & Smart Devices From setting alarms to answering questions, AI-driven assistants understand natural language and adapt to different voices and accents. 2️⃣ Smart Home Automation AI connects to home systems, letting us control lighting, heating, appliances, and multimedia with just a voice command. 3️⃣ Navigation & Transport Apps like Google Maps rely on AI to analyze real-time data, predict traffic, and suggest the fastest routes. 4️⃣ E-commerce Recommendations AI studies browsing history and shopping behavior to suggest the most relevant products, improving both user experience and sales. 5️⃣ Fraud Detection in Payments Transaction monitoring systems use AI to identify suspicious patterns and prevent fraud, protecting both consumers and businesses. 6️⃣ Health & Fitness Apps Wearables powered by AI track steps, sleep, heart rate, and activity, then generate personalized insights for healthier lifestyles. 7️⃣ Mental Wellbeing Support AI-based chatbots provide relaxation techniques, coping strategies, and even a safe space to talk, making mental health support more accessible. These applications show how AI is quietly woven into our routines, enhancing convenience, safety, and personal wellbeing. 👉 Which of these apps do you find the most impactful in your daily life?

https://lnkd.in/eKqrPTWu AI is advancing from detecting emotional distress to actively regulating emotions. Emotional regulation algorithms predict mood shifts and intervene in real time through prompts, environmental changes, or social suggestions. They could enhance therapy, wellness, crisis intervention, and productivity but also raise concerns about autonomy, privacy, manipulation, and dependence on AI. While these systems hold promise for improving well-being, strong safeguards are needed to ensure they support rather than control human emotional lives.

I evaluate AI models for a living. Then one day I realized I needed to evaluate myself. I just pre-ordered my new Apple Watch Series 11. I've learned to treat my body like we treat AI systems: measure rigorously, iterate constantly, accept reality. Hypertension notifications? That's exactly the kind of eval metric I need. A feature so sexy, I ordered it in titanium! ✨⌚✨ For context: I manage hypertension and AFib. For years, I approached it casually — taking meds, cutting salt, trying to eat a bit better, adding a dose of fitness here-and-there amidst a fast-paced tech career, and burning a little less midnight oil, just hoping for the best. Then something clicked. The same "evals" we use to improve AI models could transform how I manage my health. In AI, evals are ruthless truth-tellers. No ego, no wishful thinking — just data showing whether your model outputs have improved or degraded. We can't cherry-pick the results we like. We iterate based on evidence, not hope. My Apple Watch has become my eval framework. Heart rate variability (HRV), irregular rhythms, blood pressure trends — all tracked, analyzed, optimized. Just like evaluating AI model performance, I have learned (the hard way) to evaluate my life's metrics. The parallels are profound: 📈 - Accept uncomfortable data: When my watch shows concerning patterns at 2am, I can't ignore them. In AI and in health, denial kills progress. 📉 - Small gains compound: A 2% model performance improvement seems trivial — until you stack twenty. Same with reducing blood pressure by 5 points or improving HRV gradually. 🚴🏾♂️ - Discipline beats brilliance: The best AI isn't built in bursts of genius but through methodical testing and iteration. My health has improved gradually, not through dramatic changes, but with consistent, measured adjustments. 👍🏾 - Trust verified progress: When evals show real improvement, we believe them. When my heart health metrics incrementally improved over months, I learned that success was possible — in code and in life. This evaluation mindset has spread to all areas of my life… Financial investments? Backtest. Execute on expected values. Relationships? Seek feedback. Measure quality time. Personal growth? Track habits. Be deliberate. The maturity to embrace honest evaluation didn't come naturally — neither in engineering nor in life. But once you experience disciplined measurement and humble acceptance of reality, there's no going back. We're entering an era where AI frameworks can teach us profound lessons about being human. The tools we build to optimize the performance of machines can indeed optimize ourselves. For me, the Series 11 isn't just a gadget upgrade — it's an investment in better evaluation infrastructure. Because whether evaluating AI models or evaluating our lives, the principle remains: You can't optimize what you don't measure. #AI #Engineering #HealthTech #PersonalGrowth #AppleWatch #Hypertension #Wellness