Anxiety & Stress

Anxiety about artificial intelligence from patient and doctor-physician.

OBJECTIVE: This paper investigates the anxiety surrounding the integration of artificial intelligence (AI) in doctor-patient interactions, analyzing the perspectives of both patients and healthcare providers to identify key concerns and potential solutions.

Zinc or/and Vitamin E Supplementation Mitigates Oxidative Stress, Neuroinflammation, Neurochemical Changes and Behavioural Deficits in Male Wistar Rats Exposed to Bonny Light Crude Oil.

Crude oil, a major key economic driver in developing countries, is also of environmental concern, linked to neurotoxicity and behavioural problems. Despite the known neurotoxic effects of crude oil and the potential benefits of zinc and vitamin E, there is a paucity of research specifically addressing their combined efficacy in mitigating neurochemical changes and behavioural deficits induced by ...

How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.

Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. ...

Evaluating virtual reality technology in psychotherapy: impacts on anxiety, depression, and ADHD.

BACKGROUND: Mental health issues pose a significant challenge for medical providers and the general public. The World Health Organization predicts tha...

Machine Learning-Engineered Nanozyme System for Synergistic Anti-Tumor Ferroptosis/Apoptosis Therapy.

Nanozymes with multienzyme-like activity have sparked significant interest in anti-tumor therapy via responding to the tumor microenvironment (TME). H...

Anxiety in aquatics: Leveraging machine learning models to predict adult zebrafish behavior.

Accurate analysis of anxiety behaviors in animal models is pivotal for advancing neuroscience research and drug discovery. This study compares the pot...

Machine learning-assisted implantable plant electrophysiology microneedle sensor for plant stress monitoring.

Plant electrical signals serve as a medium for long-distance signal transmission and are intricately linked to plant stress responses. High-fidelity a...

Photoplethysmography as a noninvasive surrogate for microneurography in measuring stress-induced sympathetic nervous activation - A machine learning approach.

The sympathetic nervous system (SNS) is essential for the body's immediate response to stress, initiating physiological changes that can be measured t...

Screening for Depression and Anxiety Using a Nonverbal Working Memory Task in a Sample of Older Brazilians: Observational Study of Preliminary Artificial Intelligence Model Transferability.

BACKGROUND: Anxiety and depression represent prevalent yet frequently undetected mental health concerns within the older population. The challenge of ...

Release of complex imaging reports to patients, do radiologists trust AI to help?

BACKGROUND: As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. However, these reports are often too co...

Spectrum of errors in nodule detection and characterization using machine learning: A pictorial essay.

In academic and research settings, computer-aided nodule detection software has been shown to increase accuracy, efficiency, and throughput. However, ...

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations approach.

BACKGROUND: Early detection of anxiety symptoms can support early intervention and may help reduce the burden of disease in later life in the elderly ...

Screening social anxiety with the Social Artificial Intelligence Picture System.

Social anxiety disorder (SAD) is a prevalent anxiety disorder marked by strong fear and avoidance of social scenarios. Early detection of SAD lays the...

A pilot evaluation of school-based LEGO® robotics therapy for autistic students.

There is emerging evidence that LEGO® therapy is an effective way of supporting younger autistic children develop their communication and social skill...

Understanding veterinary practitioners' responses to adverse events using a combined grounded theory and netnographic natural language processing approach.

Support that mitigates the detrimental impact of adverse events on human healthcare practitioners is underpinned by an understanding of their experien...

Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification.

Tomato cultivation is expanding rapidly, but the tomato sector faces significant challenges from various sources, including environmental (abiotic str...

Research hotspots and trends of neuroimaging in social anxiety: a CiteSpace bibliometric analysis based on Web of Science and Scopus database.

BACKGROUND: This study focused on the research hotspots and development trends of the neuroimaging of social anxiety (SA) in the past 25 years.

Strategies for creation of data reserve and stress testing of medical AI products.

With the fast development of artificial intelligence (AI) and its applications in medicine, it is often said that the time for intelligent medicine is...

Research on mood monitoring and intervention for anxiety disorder patients based on deep learning wearable devices.

BackgroundAnxiety disorders are common mental health issues that have a significant effect on people's quality of life. Conventional techniques for tr...

Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops.

Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep ...