Latest AI and machine learning research in fibromyalgia for healthcare professionals.
Alert fatigue remains a major barrier to the effective deployment of predictive models in emergency care, particularly in the context of rare but critical outcomes such as in-hospital mortality (IHM), which often occurs in less than 5.0% of patients admitted from the emergency department (ED). Severe class imbalance leads to low positive predictive value (PPV), undermining the clinical utility of ...
Robots traversing uneven terrain may require precise calculation of limb kinematics (e.g. foot position from joint angles and segment dimensions) and sensing of force for adaptive walking control. To facilitate these calculations, robots often have very rigid limb segments with a stiff load cell between the limb and end effector (e.g. foot). Insects also must compute kinematics and measure force w...
The radiology reading room today is busier than ever with increasing numbers of cases that contain more images, sequences, and complex findings. Conse...
Restful sleep is essential for health, yet many children with Attention Deficit Hyperactivity Disorder (ADHD) experience disturbances such as delayed ...
BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with complex comorbidities that complicate triage and ma...
Accurate recognition of muscle fatigue in the lower back is essential for preventing low back pain and reducing the risk of occupational injuries. How...
BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in multicenter, randomized controlled trials is lackin...
Poliomyelitis remains a global public health concern despite remarkable progress toward eradication. The continued circulation of vaccine-derived poli...
INTRODUCTION AND BACKGROUND: Chronic fatigue syndrome (CFS) is a debilitating multisystem disorder with persistent fatigue and functional impairment, ...
Performance in table tennis is known to be affected by both mental and physical fatigue. However, accurately predicting a player's fatigue state remai...
BACKGROUND: Multicomponent programs combining therapeutic exercise, cognitive-behavioral therapy, and pain neuroscience education demonstrate overall ...
Hydrogels are indispensable for the development of next-generation bioelectronics, soft robotics, and biomedical devices, where their mechanical prope...
OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-apneic sleep arousals, which are brief awakenings t...
The rising global burden of pathological aging engenders an urgent need for accessible tools enabling early detection of physical decline, which signi...
Online recruitment and data collection in qualitative research grew significantly during the COVID-19 pandemic, revealing a host of benefits including...
BACKGROUND: COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection to critical illness with multiorgan involvement. Wh...
RATIONALE: Identifying patients who could be safely managed at home versus those needing hospitalisation was a particular concern during early COVID-1...
This work uses three different modalities, namely SEM, BSE and scanning white light interference (SWLI) to image fatigue fracture surfaces of Ti-6Al-4...
PURPOSE: Frailty is increasingly recognized as a predictor of poor surgical outcomes, yet its preoperative assessment in patients with non-small-cell ...
BACKGROUND: Fibromyalgia (FM) is a complex and multifactorial syndrome characterized by widespread pain, fatigue, cognitive impairment, and other syst...