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Emotional AI systems like Replika and Xiaoice offer accessible companionship and promise of connection for users facing isolation or psychological distress.

When used with guidance in collaborative human-AI interaction, ChatGPT helped university students complete all four cognitive presence phases and enhanced critical thinking, with self-reported improvements in triggering, exploration, and integration.

The UK's upcoming G20 presidency could be used to secure agreement on a process toward a global treaty regulating artificial intelligence.

ChatGPT-4o answered expert-validated true/false questions on vertical root fractures and tooth cracks with 86.1% accuracy, outperforming ChatGPT-3.5 and Gemini in a 5,400-response repeated test.

AI trained on millions of human smell responses can predict and reconstruct fragrances from tiny samples, enabling lab production of compounds from endangered plants without repeated harvesting.

LLMs demonstrated capacity to detect false claims and increase users' resistance to misinformation, with personalized corrections showing effectiveness.

Preclinical studies indicate AI-optimized, ligand-functionalized polymeric-lipid nanoparticles can improve tumor-specific accumulation and reduce systemic side effects for breast cancer subtypes.

Systematic review of 11 studies (36,863 patients) found ultrasound-based ML models achieved high pooled sensitivity and specificity with external validation, and AI assistance improved junior readers' specificity and cut examination time by 61% without loss of accuracy.

Guideline-augmented prompting increased blinded preference win rates and improved response consistency for LLMs answering orthopaedic anaesthesia questions compared to human experts.

Patients using guideline-grounded rheumatology chatbots reported high usability and satisfaction, with most answers rated safe and correct in real-world deployment.

Sony Music nearly doubled its enforcement volume against AI-generated impersonations of its artists.

AI models analyzing sinus-rhythm ECGs can identify atrial risk phenotypes and help select patients for prolonged rhythm monitoring to improve AF detection yield.

Generative AI achieved higher diagnostic accuracy when given text-only input compared to image-only input in radiology tasks.

XGBoost model achieved moderate and relatively stable discrimination for identifying current MCI status among older adults with chronic conditions across 2018 internal and 2020 temporal validation, with highly stable TreeSHAP explanations.

Automated extraction of psychological and subjective variables from unstructured forensic certificates was feasible with high specificity, with 24 of 35 variables meeting an 85% reliability threshold under at least one pipeline.