Clinical AI models can memorise patient data despite de-identification, risking privacy breaches, especially for rare or sensitive conditions. Robust evaluation and regulatory updates are vital to protect individuals in this evolving landscape.
Discover more at https://smarterarticles.co.uk/de-identified-and-still-exposed-how-clinical-ai-memorises-individual-patients?pk_campaign=rss-feed
#HumanInTheLoop #HealthcareAI #DataPrivacy #AIinMedicine
De-Identified and Still Exposed: How Clinical AI Memorises Individual Patients

Somewhere inside a foundation model trained on millions of supposedly de-identified electronic health records, a ghost lingers. Not a l...

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🚨 "Experts Sound Alarm" 🚨 because ChatGPT Health can't tell the difference between a papercut and a heart attack. 🤖🩺 Apparently, relying on AI for medical advice is as sensible as asking a goldfish for stock tips. 🐟📈
https://www.theguardian.com/technology/2026/feb/26/chatgpt-health-fails-recognise-medical-emergencies #ExpertsSoundAlarm #ChatGPTHealth #AIinMedicine #MedicalAdvice #PapercutVsHeartAttack #HackerNews #ngated
‘Unbelievably dangerous’: experts sound alarm after ChatGPT Health fails to recognise medical emergencies

Study finds ChatGPT Health did not recommend a hospital visit when medically necessary in more than half of cases

The Guardian

This briefing highlights a methodological advance with clear relevance to mental health practice: mapping gene-driven regulatory networks in Alzheimer’s-affected brain tissue illuminates how genetic processes may propagate neurodegenerative changes that influence behavior, cognition, and mood. The emphasis on cause-and-effect relationships across multiple neural cell types provides a concrete example of how integrative analyses can clarify complicated biological pathways relevant to mental health outcomes.

Article Title: AI uncovers the hidden genetic control centers driving Alzheimer’s

Link to Science Daily Mind-Brain News: https://ift dot tt/fOlusyH

Scientists have created the most detailed maps yet of how genes control one another inside the brains of people with Alzheimer’s disease. Using a powerful new AI-based system called SIGNET, the team uncovered cause-and-effect relationships between genes across six major brain cell types, revealing which genes are truly driving harmful changes. The most dramatic disruptions were found in excitatory neurons, where thousands of genetic interactions appear to be extensively rewired as the disease progresses.

via Mind & Brain News -- ScienceDaily https://ift dot tt/xw6gCdY

February 15, 2026 at 09:15AM

#alzheimers #neuroscience #genetics #aiinmedicine #mentalhealthresearch

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Our focus: Building reliable, validated AI solutions for healthcare.

Why we started:
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AI Finds Sperm, Skin Cells Made Into Eggs for Fertility Help

https://newsletter.tf/ai-sperm-skin-eggs-fertility-2025/

New ways to help people have babies. AI can find sperm and skin cells can be turned into eggs for fertility treatments.

#FertilityTreatment, #AIinMedicine, #InVitroGametogenesis, #NewHope, #ScienceNews

Breakthroughs in Fertility Treatment: AI Identifies Sperm, Skin Cells Become Eggs

https://newsletter.tf/ai-sperm-skin-eggs-fertility-2025/

AI is now helping find sperm, and skin cells can be turned into eggs to help with fertility.

#FertilityTreatment, #AIinMedicine, #InVitroGametogenesis, #NewHope, #ScienceNews

AI Finds Sperm, Skin Cells Made Into Eggs for Fertility Help

Scientists have made two big steps in helping people have children. One uses AI to find sperm when it's hard to find. Another turns skin cells into eggs that can be used in fertility treatments. These new methods offer more hope for people who want to start a family.

https://newsletter.tf/ai-sperm-skin-eggs-fertility-2025/

#FertilityTreatment, #AIinMedicine, #InVitroGametogenesis, #NewHope, #ScienceNews

AI Finds Sperm, Skin Cells Made Into Eggs for Fertility Help

New ways to help people have babies. AI can find sperm and skin cells can be turned into eggs for fertility treatments.

AI now outperforms doctors in diagnostics, but patient trust remains low, especially with complex cases. Building trust depends on how AI is introduced and integrated into the doctor-patient relationship. The future of healthcare balances machine precision with human empathy.
Discover more at https://smarterarticles.co.uk/ai-diagnoses-better-than-doctors-why-patients-still-refuse-to-trust-it?pk_campaign=rss-feed
#HumanInTheLoop #DigitalHealth #AIinMedicine #HealthcareInnovation
AI Diagnoses Better Than Doctors: Why Patients Still Refuse to Trust It

The numbers are startling, and they demand attention. An estimated 795,000 Americans die or become permanently disabled each year becau...

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