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Fibromyalgia

Latest AI and machine learning research in fibromyalgia for healthcare professionals.

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Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with sym...

Enhancing online interaction through avatar-based dialogue systems utilizing the approaching movement.

The rise in online interactions has introduced multiple challenges, including confusion during virtu...

Fatigue and stamina prediction of athletic person on track using thermal facial biomarkers and optimized machine learning algorithm.

Athletic person's fatigue and stamina prediction plays a vital role for improving the overall perfor...

Voice fatigue subtyping through individual modeling of vocal demand reponses.

Recognizing individual variability is essential for developing targeted, personalized medical interv...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

Railway traffic characterisation data based on weigh-in-motion and machine learning: A case study in Portugal.

Metallic railway bridges built during the 20th century are ageing, but their continued operation is ...

Inflammatory, fibrotic and endothelial biomarker profiles in COVID-19 patients during and following hospitalization.

Survivors of severe COVID-19 often suffer from long-term respiratory issues, but the molecular drive...

Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning.

Driver drowsiness is a critical issue in transportation systems and a leading cause of traffic accid...

Robot-Assisted Retrograde Intrarenal Surgery: A Mini Review of the Literature on Robotic Surgery Platforms for Endoscopic Stone Surgery.

Retrograde intrarenal surgery (RIRS) has become a cornerstone in renal stone management, with roboti...

Experimental and machine learning-driven assessment of IS 2062 steel under double-base propellant combustion conditions.

The degradation behavior of IS 2062 structural steel under extreme combustion conditions induced by ...

Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes.

This study leveraged machine learning (ML) models to explore the relationship between three-dimensio...

Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a...

A machine learning model using clinical notes to identify physician fatigue.

Clinical notes should capture important information from a physician-patient encounter, but they may...

Performance-Recoverable Closed-Loop Neuroprosthetic System.

Soft bioelectronics mechanically comparable to living tissues have driven advances in closed-loop ne...

CMOS LIF Neurons with Local Membrane Dynamic Biasing Based on Reciprocal Inhibition for Self-Oscillatory Neural Networks.

This paper presents a CMOS-based neuron network that can emulate self-oscillatory biasing behaviors ...

AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

This systematic review aimed to explore the current applications, potential benefits, and issues of ...

Electrocardiogram-Based Artificial Intelligence for Detection of Low Ejection Fraction: A Contemporary Review.

Artificial intelligence (AI) is transforming the role of electrocardiography (ECG) in cardiovascular...

Dysregulated neural coding in the vagus nerve during long sepsis.

Sepsis is a life-threatening condition characterized by organ dysfunction resulting from the body's ...

A high recognition accuracy tactile sensor based on boron nitride nanosheets/epoxy composites for material identification.

Tactile sensors based on triboelectric nanogenerators (TENGs) showed great potential for self-driven...

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