Latest AI and machine learning research in fibromyalgia for healthcare professionals.
OBJECTIVE: This study examines how roadside land-uses, namely commercial, residential, educational, and recreational establishments located on a typical Indian Highway, i.e., National Highway, influence the temporally distributed bus driver inattention, such as distraction, drowsiness, and falling asleep behaviors and their associated influence on the crash severity occurring on the entire study c...
BACKGROUND: Chronic musculoskeletal pain is often inadequately managed with pharmacologic therapy. Although transcutaneous electrical nerve stimulation (TENS) and electrical muscle stimulation (EMS) are established noninvasive modalities, conventional systems lack personalization and adherence monitoring. OBJECTIVE: To evaluate real-world outcomes associated with the EcoAI adaptive dual-modality (...
Breast cancer prognosis and treatment outcomes are shaped by intricate interplay between tumor biology, systemic comorbidities, and patient-reported f...
BackgroundPatients with fibromyalgia require clear and reliable medical information to manage a complex chronic condition. AI-based tools may offer va...
This study applied an unsupervised machine-learning technique to characterize weekly physiological-load states in professional basketball players usin...
PURPOSE: This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examin...
Machine learning-assisted passive thermography has emerged as a powerful tool for characterizing fatigue damage through self-heating-induced temperatu...
Previous clinical studies have reported that not all depressed patients respond to antidepressants. Therefore, finding potential predictive molecular ...
Flexible and stretchable strain sensors have attracted growing interest for applications in health monitoring and human-machine interfaces. Convention...
This correspondence addresses three significant concerns regarding the current peer review process for systematic reviews and meta-analyses. First, wh...
Cognitive fatigue is a state of reduced mental performance resulting from prolonged periods of cognitive activity. It is characterized by a sense of t...
Continuous glucose monitoring (CGM) provides dense and dynamic glucose profiles that enable reliable estimation of glycemic metrics, such as time-abov...
UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) experience residual pain even in remission. Digital he...
Digital dental implant planning using panoramic radiographs and cone beam computed tomography (CBCT) imaging is labor-intensive and prone to error due...
OBJECTIVES: Early vocal changes such as hoarseness or voice fatigue are common and often attributed to normal aging or benign conditions, which can de...
Motor unit diversity arises from differences in the contractile properties of muscle fibres and the intrinsic electrical properties of their motoneuro...
The assessment of coronal balance is critical for cosmetic appearance and quality of life in patients with adolescent idiopathic scoliosis (AIS), yet ...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into scholarly publishing workflows, extending beyond manuscript preparation into ...
Electronic health records (EHRs) can support patient safety across medical settings but require thoughtful adaptation to serve specialty care. This ar...