Latest AI and machine learning research in sports medicine for healthcare professionals.
Here we propose CovSF, a deep learning model designed to track and forecast short-term severity prog...
In this study, we explore the potential of ten quantitative (radiofrequency-based) ultrasound parame...
Drug-induced liver injury (DILI) is a significant concern with prescription medications and suppleme...
Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...
BACKGROUND: With a focus on postoperative dysfunctions that may occur after maxillofacial tumor rese...
BACKGROUND: Traumatic spinal cord injury (TSCI), a severe central nervous system injury, despite tre...
BACKGROUND: Distal radius fractures (DRFs) are common fracture types and elderly patients often stru...
OBJECTIVE: Ultrasound shear strain is a potential biomarker of myofascial dysfunction. However, the ...
Traumatic brain injury (TBI) is a major public health concern associated with an increased risk of n...
Ulnar nerve injuries often lead to muscle atrophy and reduced hand function, necessitating precise m...
The pursuit of strong yet ductile alloys has been ongoing for centuries. However, for all alloys dev...
BACKGROUND: Outcomes after arthroscopic rotator cuff repair (RCR) are frequently measured through cl...
BACKGROUND: With the recent advances in technology and its increased use in society, healthcare prac...
This narrative review explores the transformative impact of artificial intelligence (AI) in sport, c...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a spectrum of chronic pathologic...
To compare the performance of sports injury prognostic machine learning models when trained on (i) b...
BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation....
Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...
Rationale Integrating artificial intelligence (AI) into education has introduced transformative poss...
OBJECTIVE: This study aims to determine the diagnostic performance of sub-5-min combined sixfold par...
As the workhorse of industrial amino acid production, Corynebacterium glutamicum is the focus of thi...