Latest AI and machine learning research in sports medicine for healthcare professionals.
Accurate interpretation of knee MRI scans relies on expert clinical judgment, often with high variability and limited scalability. Existing radiomic approaches use a fixed set of radiomic features (the signature), selected at the population level and applied uniformly to all patients. While interpretable, these signatures are often too constrained to represent individual pathological variations....
Laser-induced inertial cavitation (LIC)-where microscale vapor bubbles nucleate due to a focused high-energy pulsed laser and then violently collapse under surrounding high local pressures-offers a unique opportunity to investigate soft biological material mechanics at extremely high strain rates (>1000 1/s). Traditional rheological tools are often limited in these regimes by loading speed, reso...
Isometric exercises appeal to individuals seeking convenience, privacy, and minimal dependence on equipments. However, such fitness training is ofte...
Human gait analysis with wearable sensors has been widely used in various applications, such as daily life healthcare, rehabilitation, physical ther...
The integration of artificial intelligence (AI) and machine learning-enabled medical technologies into clinical practice is expanding at an unpreceden...
Effective rehabilitation assessment is essential for monitoring patient progress, particularly in home-based settings. Existing systems often face c...
Stroke rehabilitation often demands precise tracking of patient movements to monitor progress, with complexities of rehabilitation exercises present...
Stress affects physical and mental health, and wearable devices have been widely used to detect daily stress through physiological signals. However,...
Prosthetic rehabilitation after amputation poses significant challenges, often due to functional limitations, residual limb pain (RLP), and phantom li...
Photobiomodulation therapy (PBMT) emerged as a significant non-invasive method of stimulating regeneration of the skeletal muscle tissue. This review ...
Breast cancer reconstruction, a vital part of comprehensive cancer therapy, can be performed concurrently with cancer resection, improving both physic...
INTRODUCTION: Intensive care unit-acquired weakness (ICUAW) is a common and severe complication in critically ill patients, associated with high morbi...
BACKGROUND: Deaths related to physical trauma impose a heavy burden on society, and the Abbreviated Injury Scale (AIS) is an important tool for injury...
Machine learning technology has been extensively applied in the medical field, particularly in the context of disease prediction and patient rehabilit...
Laser-induced thermal injury is a common form of skin damage in clinical treatment, and accurately assessing the extent of injury and treatment effica...
In recent years, the fusion of the medical and computer science domains has gained significant traction in the scientific research landscape. Progress...
The high incidence and mortality rates of gastric cancer pose a significant burden on human health and public health systems. Peritoneal metastasis is...
Septic shock exhibits diverse etiologies and patient characteristics, necessitating tailored fluid management. We aimed to compare resuscitation strat...
In this work, we present a novel approach to process the DIC measurements of multiple biaxial stretching protocols. In particular, we develop a opti...
Advances in markerless motion capture are expanding access to biomechanical movement analysis, making it feasible to obtain high-quality movement da...