Latest AI and machine learning research in sports medicine for healthcare professionals.
OBJECTIVES: Accurate blood pressure measurement is essential for cardiovascular risk management, but conventional oscillometric devices are unreliable for atrial fibrillation and arterial stiffness. We evaluated the accuracy of a novel automated Korotkoff sound-based monitor (Ksens-BP), integrating a semiconductor strain-gauge sensor and artificial intelligence waveform classification, compared to...
Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery disease representing the primary driver of premature death. Cardiac rehabilitation (CR) is a cornerstone of secondary prevention that integrates exercise, risk factor modification, and education. CR reduces all-cause mortality, recurrent ischemic events, and improves quality of life. Yet, participat...
Accurate assessment of liver fibrosis in the left liver lobe remains clinically challenging due to motion artifacts that compromise the reliability of...
OBJECTIVE: This narrative review synthesizes machine learning (ML) applications across the stroke and post-stroke continuum from acute imaging and dia...
PURPOSE: To develop and validate a multimodal ensemble machine learning model integrating multi-sequence magnetic resonance imaging (MRI) radiomics, c...
When soft wearable electronic devices are deployed on the body, body motion-induced artifacts pose a major challenge for accurately decoupling concurr...
Disordered fibrous networks play vital mechanical roles but are difficult to model due to their sparse connectivity and complex nonaffine deformation....
PURPOSE: The progression of acute kidney injury (AKI) to end-stage kidney disease (ESKD) poses challenges due to high risks of comorbidities and poor ...
This scoping review was designed to address the core question: In the field of poststroke hand function rehabilitation, what is the current status of ...
Human motion recognition holds significant value in clinical rehabilitation, human-machine interaction (HMI), and sports science. Self-powered triboel...
Acute Kidney Injury (AKI) is a major health concern with high costs and poor outcomes, partly due to late diagnosis. This paper reviews the applicatio...
BACKGROUND: Botulism is a rare but potentially fatal illness caused by botulinum neurotoxin, with outbreaks reported globally in humans, animals, and ...
The Minimally Conscious State (MCS) is a condition in which a patient, following a brain injury, exhibits minimal yet definite behavioral evidence of ...
Spray-drying is regarded as a promising alternative to freeze-drying for probiotic powder production. However, maintaining probiotic viability remains...
Cardiovascular disease (CVD) is a leading cause of mortality worldwide, and the mechanical behavior of arterial wall tissue (AWT) is central to its in...
BACKGROUND: Existing models that use clinical history and cardiac imaging data remain inadequate for accurate prediction of the success of catheter ab...
BACKGROUND: Manipulation under anesthesia (MUA) is a commonly performed procedure to address postoperative stiffness after total knee arthroplasty (TK...
McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, and Jordan, MJ. The influence of sport representation and attitudes toward strength tr...
BACKGROUND: Large language models (LLMs) like ChatGPT are increasingly being recognized as credible tools for use across diverse healthcare settings. ...
Musculoskeletal injuries and interindividual variability in recovery remain critical challenges for sustaining elite athletic performance. Despite adv...