Here’s your biweekly AI in Healthcare and Digital Health video brief covering key developments across digital health, AI regulation, and clinical innovation, spanning policy updates, real-world AI performance, and emerging signals shaping future healthcare delivery.
🎯 Watch Our Video Summary Capturing AI in Healthcare and Digital Health News from the Last Two Weeks
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🗓️ Explore more details and sources for the period 1– 14 December 2025
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Top Stories Covered In This Video
Chapters
0:00 Introduction
0:10 Experts Warn AI Chatbots May Increase Loneliness Risks Among Younger Users
0:30 UK and Singapore Launch Joint Regulatory Innovation Corridor for Accelerated Therapy Access
0:54 Deep Learning Model Assesses Parkinson’s Gait with Comparable Results to Specialists
1:17 Investor Michael Burry Criticizes AI Market, Predicts Potential “Netscape Fate” for Open-AI
1:35 Humanoid RobotScience Corp’s Prima Retinal Implant Shows Promising Results for Advanced Macular Degeneration
2:00 Google’s GenTabs Experiment Transforms Tabs and Chat Context into Interactive Web Apps
2:16 Microsoft’s Copilot Usage Report Reveals Health Dominates Mobile Usage
2:36 European Commission Opens Antitrust Probe into Google’s AI Practices and Publisher Content Use
2:56 WHO Refreshes Global Strategy on Digital Health, Prioritizing Safety, Privacy, and Interoperability
3:26 How to reach us
Transcript
Welcome to the latest edition of AI, Digital Health, and Regulation Updates, covering breakthroughs in the past two weeks. Brought to you by LucidQuest.
Experts in The BMJ warn that growing reliance on AI chatbots for companionship, especially among younger people, may worsen loneliness risks. They advise clinicians to gently screen for problematic chatbot use, particularly around the holidays, and to develop evidence-based strategies and safeguards.
The UK’s MHRA and Singapore’s HSA launched a joint regulatory innovation corridor. Developers can seek coordinated advice to design better trials and accelerate access to therapies in cancer, neurodegeneration, obesity, rare diseases, and advanced diagnostics. Flagship Pioneering will be the first participant.
An early-access npj Digital Medicine paper reports a smartphone-video deep learning model that assessed Parkinson’s gait. It achieved AUC 0.87 and F1 0.806, comparable to three specialists, detected medication-response signals, and surfaced interpretable digital biomarkers.
Investor Michael Burry defended his bearish AI-market views, predicting a “Netscape fate” for OpenAI and questioning Nvidia demand, while calling out reports of GPU warehousing. He argued the industry is primed for a very large IPO.
TechCrunch profiled Science Corp’s Prima retinal implant, a rice-grain chip for advanced macular degeneration used with camera glasses and a battery. In 38-patient trials, 80 percent could read again, two letters at a time. EU submission is in, with US timing uncertain and an initial cost near $200,000 per procedure.
Google introduced GenTabs, built with Gemini 3, an experiment that converts your tabs and chat context into interactive web apps and links outputs to sources. A macOS waitlist is open through the Disco program.
Microsoft’s Copilot Usage Report analyzed 37.5 million de-identified conversations. Health dominates mobile usage, advice-seeking is rising, coding peaks on weekdays while gaming trends on weekends, and late-night sessions skew to religion and philosophy.
The European Commission opened an antitrust probe into Google’s use of publisher content in AI Overviews and YouTube data practices. Concerns include inadequate compensation and opt-out controls. Penalties could reach 10 percent of global revenue if violations are found.
The WHO refreshed its Global Strategy on Digital Health 2020–2027, with plans to revise for 2028–2033. Priorities include knowledge-sharing, national digital strategies, robust governance on safety, privacy, interoperability, and people-centered systems, noting 129 countries with strategies and 1,600 officials trained.
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Why It matters
- Regulators are experimenting with concurrent reviews to cut duplication and time to access in high-need areas.
- Clinicians are being asked to recognize AI-related behaviors as part of mental health risk assessment.
- Smartphone-native diagnostics and digital biomarkers could scale trial endpoints and home monitoring.
- Usage data show AI moving from Q&A to advice, shaping product design and safety expectations.
- Antitrust and content-use scrutiny will influence AI product features, data sourcing, and publisher economics.
🗓️ Explore more details and sources for the period 1– 14 December 2025
📚 Find your one-stop page for the full AI and Digital Health archive.
