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Developing a Behavioral Phenotyping Layer for Artificial Intelligence-Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial.
JMIR research protocols
Aug 6, 2025
BACKGROUND: Digital interventions for mental health are pivotal for addressing barriers such as stigma, cost, and accessibility, particularly for underserved populations. While the effectiveness of digital interventions has been established, poor adh...
Beyond the Conveyor Belt: The Influence of Robotization on Work Characteristics. A Qualitative Study in Manufacturing Companies.
The Spanish journal of psychology
Aug 6, 2025
The numbers of robots in organizations grow at an increasing rate. However, very little is known about how robotization (i.e., the implementation of robots at work) affects the work characteristics of the jobs it impacts. This qualitative study focus...
Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study.
Scientific reports
Aug 6, 2025
Psychogenic erectile dysfunction (pED) is a prevalent male sexual dysfunction lacking organic etiology. Endeavors have been made in previous studies to disclose the brain pathological mechanisms of pED. However, the cortical morphological characteris...
Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan's resource-limited settings.
BMC health services research
Aug 6, 2025
BACKGROUND: Artificial Intelligence (AI) can empower clinicians to make data-driven decisions, treatments and streamline administrative tasks. However, it is vital to understand their perception towards AI for seamless implementation in practice. The...
Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.
Translational psychiatry
Aug 6, 2025
Cognitive behavioral therapy (CBT) and pharmacotherapy are primary treatments for major depressive disorder (MDD). However, their differential effects on the neural networks associated with rumination, or repetitive negative thinking, remain poorly u...
An improved domain-adversarial network for predicting hemodialysis adequacy.
Biomedical physics & engineering express
Aug 6, 2025
Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease (ESRD). However, current real-time monitoring methods during dialysis are costly, complex, and not widely adopted. Therefore, this study aims to prop...
Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Aug 6, 2025
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1: = 17...
Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Aug 6, 2025
Identification of the neuron type is critical when using extracellular recordings in awake, behaving animal subjects to understand computation in neural circuits. Yet, modern recording probes have limited power to resolve neuron identity. Here, we pr...
Beyond unimodal analysis: Multimodal ensemble learning for enhanced assessment of atherosclerotic disease progression.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 5, 2025
Atherosclerosis is a leading cardiovascular disease typified by fatty streaks accumulating within arterial walls, culminating in potential plaque ruptures and subsequent strokes. Existing clinical risk scores, such as systematic coronary risk estimat...
An AI-driven video based goniometer for knee joint range of motion (ROM) Assessment: Reliability and validity compared to traditional goniometry.
Computers in biology and medicine
Aug 5, 2025
BACKGROUND: Accurate measurement of knee joint range of motion (ROM) is crucial in clinical and rehabilitation settings. Traditional goniometry, which is widely used, requires calibration and is subject to human errors and measurement inconsistencies...
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