Study shows that ADHD awareness may lead to increase in false self-diagnosis, but intervention can help
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 17-Nov-2025 18:11 ET (17-Nov-2025 23:11 GMT/UTC)
Growing awareness of ADHD may be leading some young adults to mistakenly believe they have the disorder, according to new U of T Scarborough research.
The study, published in Psychological Medicine, found that while mental health awareness programs are designed to help people recognize symptoms and seek support, they can trigger false self-diagnosis.
Do renewables always make power cheaper? In the UK, it depends on how much is on the system. Using causal machine learning on 2018–2024 market data, researchers find wind’s causal effect is U-shaped: at low penetration, +1 GWh can reduce prices by up to £7/MWh, the effect weakens mid-range, then strengthens again at higher penetration. The impacts have grown over time as renewables’ share rose, providing an evidence base for market design and support policy. These findings support adaptive support schemes and capacity planning that reflect changing marginal value rather than one-size-fits-all assumptions.
Motor imagery electroencephalography (MI-EEG) is crucial for brain-computer interfaces, serving as a valuable tool for motor function rehabilitation and fundamental neuroscience research. However, decoding MI-EEG signals is extremely challenging, and traditional methods overlook dependencies between spatiotemporal features and spectral-topological features. Now, researchers have developed a new topology-aware method that effectively captures the deep dependencies across different feature domains of EEG signals, ensuring accurate and robust decoding, paving the way for more brain-responsive technology.
Stroke is a major cause of non-traumatic disability worldwide. In a new IEEE/CAA Journal of Automatica Sinica breakthrough aimed at aiding patients with motor impairments, researchers demonstrated the development and control of CASIA-EXO upper-limb exoskeleton for motor learning in post-stroke rehabilitation. The proposed technology employs a novel control strategy to steadily individualize the training trajectory and intervention level as per the changing requirements and motor abilities of the patient.
Virtual reality (VR) use is often linked to reduced blinking, raising concerns about dry eye. This study examined the ocular surface during a 30-minute VR gaming session using a compact imaging system to observe the tear film in real time. Over the session, the tear film’s lipid-layer interference grade increased, indicating thickening of the lipid layer. Under these experimental conditions, this change may be associated with a lower likelihood of dry eye during VR use.
In recent years, significant advancements in educational technology, particularly the rise of online learning platforms, have transformed the way students engage with educational content. This study developed an intelligent digital human-based teaching system that leverages the capabilities of large language models to provide personalized, interactive, and real-time support.
A synthesis of four studies showcasing how to use artificial intelligence technologies to design collaborative learning scenarios that have implications.