TL;DR: Researchers rebuilt 10-second movie clips that mice had watched, using only recordings from about 8,000 neurons in each mouse’s visual cortex. The blurry, low-resolution results matched the originals fairly well, but this is not mind reading. Key Findings 50 clips rebuilt: Ten 10-second movies from each of 5 mice. Pixel match of 0.57: About …
TL;DR: An iPad app that tracks 52 facial movements told apart people with Parkinson’s from people without it about 4 times in 5 in a 70-person study. Lopsided expressions mattered as much as smaller ones. Key Findings 34 people with Parkinson’s, 36 without: Each made 53 cued faces in front of an iPad. Best model …
TL;DR: In four online experiments with Chinese university students, a study-app assistant with a friendly face or chatty wording led to more positive feelings than a plain version. The boost was bigger in students who felt lonelier. Key Findings 4 experiments, 741 students: Each saw either a human-like or a plain study assistant. Happier with …
TL;DR: A new AI model that combines brain and muscle signals kept recognizing hand grips better than rival models when the muscle signals were artificially weakened to mimic fatigue. At the heaviest weakening, though, brain signals alone did better than any combined model. Key Findings Recordings from 25 healthy adults: Brain (EEG) and forearm muscle …
TL;DR: A 2026 randomized training study in Nature Communications found that sensory-guided joint learning—a combination of performance-triggered wrist vibration, Copy/New strategy cues, and an adaptive electroencephalography (EEG) decoder—produced a 19.0-percentage-point improvement in motor-imagery brain-computer interface (BCI) accuracy in healthy BCI-naïve adults, versus 6.3 and 3.0 points in two control groups. Key Findings Thirty-one healthy adults …
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 concerns shaped whether they expected to use them. Key Findings 357 psychology trainees: The cross-sectional survey included undergraduate and master’s psychology …
TL;DR: A 2026 preprint in medRxiv tested an interpretable machine-learning model for focal cortical dysplasia (FCD), a lesion linked to drug-resistant epilepsy, and found that hemispheric-asymmetry MRI features classified 39 of 50 subjects correctly in leave-one-out testing. Key Findings 50-subject MRI sample: The analysis used 25 FCD patients and 25 age-matched healthy controls from the …
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 and 88.4% specificity across 25 studies. Key Findings 25 studies and 23,171 participants were included: The review pooled adult studies that compared …
TL;DR: A 2026 systematic review in Sports Medicine – Open found that esports gameplay can raise heart rate, stress physiology, and energy expenditure, but the overall metabolic demand generally stayed in the light-activity range. Key Findings 176 records screened: The review searched PubMed, Embase, SPORTDiscus, Web of Science, and Scopus before narrowing to 5 eligible …
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 subordinate to human clinical judgement. Key Findings 26-person qualitative sample: Researchers interviewed 12 people living with dementia and ran …
