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Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Showing 281-300 of 6,934 articles

Machine Learning-Based Identification of Distinct Risk Factors for Moderate vs Severe Proximal Junctional Kyphosis After Adult Spinal Deformity Surgery.

BACKGROUND CONTEXT: Proximal junctional kyphosis (PJK) is a well-recognized complication of adult spinal deformity (ASD) surgery. However, traditional proximal junctional angle (PJA) thresholds (15°) and revision-predictive thresholds (28°) may represent distinct clinical entities with unique etiologies. PURPOSE: To analyze and compare predictive risk factors for moderate (PJA ≥15°) and severe (PJ...

Jun 17 2026 42309229

Rapid screening of spreading-type Bacillus using a YOLO-based classifier on sheet media.

Aerobic spore-forming bacteria cause food poisoning and spoilage and can be distinguished from other bacteria based on colony size and shape when grown on a sheet medium (MC-Media Padâ„¢ ACplus). We developed a classifier that can distinguish between these two types of colonies and automatically count them using the deep learning algorithm, YOLO. This YOLO-based classifier was trained using Bacillus...

Jun 17 2026 42309367
Heterogeneity of Clazosentan Benefit after Aneurysmal Subarachnoid Hemorrhage Demonstrated in an Externally Validated Causal Policy Tree.

BACKGROUND: Clazosentan reduces angiographic vasospasm after aneurysmal subarachnoid hemorrhage (aSAH), but functional benefit may vary across patient...

Jun 17 2026 42310190
Predicting oxygen levels in microbial habitats using a metagenome-based approach.

Oxygen is a primary driver of the distribution and activity of microbial life. Since oxygen levels are often difficult to measure in situ, one potenti...

Jun 16 2026 42300737
Machine learning to identify novel bleeding and residual thromboembolic risks in patients on anticoagulation.

Balancing thromboembolic prevention against bleeding risk remains a key challenge during oral anticoagulant (OAC) therapy. CHAâ‚‚DSâ‚‚-VASc cannot predict...

Jun 16 2026 42301346
Implementing Digital Respiratory Technologies for People With Respiratory Conditions: Scoping Review.

BACKGROUND: Digital health offers opportunities for safe, equitable, and accessible care, and its integration into respiratory care is a strategic pri...

Jun 16 2026 42302305
Automated Rigo Classification: An Innovative Artificial Intelligence System.

Although there is variation in clinicians' application of the Rigo classification system (RCS) to adolescent idiopathic scoliosis, no artificial intel...

Jun 15 2026 42290428
Toward Precision Cardiac Rehabilitation: Current Limitations and Future Opportunities of Omics and Artificial Intelligence.

Cardiovascular disease involves complex molecular, cellular, and physiological derangements that present challenges for traditional diagnostic and the...

Jun 15 2026 42295671
Artificial intelligence in pathology: a framework for preserving brain capital in the diagnostic apex.

AIM: To present a five-criterion calibration framework for evaluating artificial intelligence (AI) tools in pathology centered on preserving "brain ca...

Jun 15 2026 42286907
Proteomics as a Theranostic Compass in BCR::ABL1-Negative Myeloproliferative Neoplasms: Integrating Biomarker Discovery with Therapeutic Stratification.

Classic BCR::ABL1-negative myeloproliferative neoplasms (MPNs)-polycythaemia vera, essential thrombocythaemia, and primary myelofibrosis-are clonal ha...

Jun 14 2026 42289259
Physical therapy using digital therapeutics in infants with congenital muscular torticollis: a pilot study.

Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral sternocleidomastoid muscle stiffness. We evaluate...

Jun 14 2026 42289524
Explainable artificial intelligence models in predicting major cardiovascular events: insights from the PolyIran and PolyPars prospective studies.

Cardiovascular diseases are among the leading causes of global mortality and morbidity, underscoring the need for accurate and explainable predictive ...

Jun 14 2026 42289586
Predicting major adverse cardiovascular and cerebrovascular events in chronic heart failure: a machine learning study.

BACKGROUND: Heart failure (HF) is a clinical syndrome characterized by impaired cardiac diastolic and systolic function due to structural or functiona...

Jun 12 2026 42286995
Manual therapy promotes prefrontal neural efficiency in chronic non-specific neck pain: An fNIRS-Based randomized controlled trial.

BACKGROUND: Chronic non-specific neck pain (CNP) involves central sensitization and maladaptive cortical reorganization. The central neurophysiologica...

Jun 12 2026 42289173
AI automated grid placement in the OMERACT knee inflammation MRI scoring system (KIMRISS) for bone marrow lesion assessment: A multi-reader exercise.

OBJECTIVE: To validate the reliability and feasibility of AI-automated grid placement for bone marrow lesion (BML) scoring in the Knee Inflammation MR...

Jun 12 2026 42322930
Perceptions of challenges in clinical pediatric research: a survey of Italian pediatricians.

BACKGROUND: Clinical research is essential for advancing pediatric care, yet pediatricians often face unique structural, organizational, and methodolo...

Jun 12 2026 42286725
Engagement with an AI- and CGM-Integrated Digital Health Platform Is Associated with Clinically Significant Weight Loss.

BACKGROUND: Obesity affects millions of U.S. adults and is linked to cardiometabolic disease. This study examined whether user engagement with the Sig...

Jun 12 2026 42286892
Identification of Early Signs of Mental Health Disorders in Older Survivors of Cancer Using Patient-Generated Health Data: Observational Study.

BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to cancer experiences, fear of recurrence, and aging-rela...

Jun 12 2026 42284470
The INSPIRE doctoral network in safety pharmacology - Looking back and ahead.

The INSPIRE project, funded by the European Marie Skłodowska-Curie Action (MSCA) program, was a doctoral network designed to train early-stage researc...

Jun 12 2026 42285444
Fat matters: paraspinal muscle quality is associated with electromyographic fatigability and endurance in lumbar spinal stenosis.

BACKGROUND: Paraspinal muscle degeneration with fatty infiltration and atrophy is well-documented in symptomatic lumbar spinal stenosis (sLSS). Howeve...

Jun 11 2026 42620757
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