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TL;DR: A 2026 study in Journal of Medical Internet Research found that psychology trainees were generally open to artificial intelligence-based precision mental health technologies (AI-PMHTs), but fear, perceived risk, resistance to change, and reliability con…
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TL;DR: A 2026 systematic review and Bayesian meta-analysis in Journal of Medical Internet Research found that artificial intelligence models trained only on overnight pulse-oximetry oxygen-saturation data detected obstructive sleep apnea with 91.1% sensitivity…
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TL;DR: A 2026 preprint in medRxiv reported that people living with dementia (PLwD) and carers were generally open to artificial intelligence (AI) support in structured medication reviews, but only when AI remained validated, transparent, secure, and subordinat…
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TL;DR: A 2026 open-label feasibility trial in IBRO Neuroscience Reports tested an AI-guided variable levodopa schedule in 5 people with Parkinson’s disease and found 4 patients improved on UPDRS, but the study was far too small and uncontrolled to prove effica…
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TL;DR: A 2026 conceptual paper in Integrative Psychological and Behavioral Science argued that heavy reliance on AI-generated language can create “Protein Shake Brain,” a state where thoughts are fluent and available but not fully owned by the person using the…
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TL;DR: A 2026 machine-learning study in PLOS One used student mental-health survey features to test an interpretable FT-Transformer plus LSTM model, which reached 95% accuracy for low, medium, and high risk prediction in a public dataset. Key Findings 95% accu…
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Brain-machine interfaces (BMIs) are emerging devices that connect the human brain to computers and machines, enabling an unprecedented two-way flow of information and control. BMIs offer extraordinary new capabilities but also present profound ethical dilemmas…
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A 2016 study exploring whether machine learning can accurately predict criminality based solely on facial images has sparked debate on the social implications of such technology. The research, conducted by Chinese academics Xiaolin Wu and Xi Zhang, claims to b…
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Artificial intelligence systems are increasingly being used to assist professionals like doctors and judges make important decisions that impact human lives. However, these AI systems are prone to biases that can lead to systematic errors. A new set of experim…
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Scientists have developed a new way to identify hit songs that people will love by measuring listeners’ brain activity responses using machine learning AI. This approach was much more accurate than asking people if they liked each song. Key Facts: Researchers…
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