Latest AI and machine learning research in sports medicine for healthcare professionals.
One of the major challenges in natural product discovery is the prioritization of compounds with useful activities from microbial sources. Here, we utilize a machine learning model that predicts the antibacterial activity of a natural product from its biosynthetic gene cluster (BGC) into our genome mining pipeline. Using this approach, we prioritized the strain Amycolatopsis azurea DSM 43854 as a ...
BACKGROUND: Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). PURPOSE: This study evaluates the reliability and interchangeability of MRF-derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis. STUDY TYPE: Prospective single-center comparative s...
Cardiovascular disease (CVD) continues to claim more lives than any other condition worldwide. Traditional clinic visits capture only brief snapshots ...
BACKGROUND: Stroke is a leading cause of long-term upper limb disability, severely impacting patients' independence and quality of life. Robot-assiste...
The perioperative management of gastric cancer is a crucial factor influencing patient prognosis. The traditional model has limitations such as fragme...
BACKGROUND: Peripheral nerve injury with deficits has poor functional prognosis, making motor function assessment during nerve regeneration crucial. R...
OBJECTIVE: Transcranial magnetic stimulation (TMS), as a non-invasive means of neuromodulation, plays a crucial role in rehabilitation. Recent studies...
Recent rapid developments in artificial intelligence (AI) technologies are leading to significant changes in social and economic structures. These cha...
BackgroundTelerehabilitation (TR) delivers rehabilitation services through digital and information technologies. Recent advances in artificial intelli...
PURPOSE: To map contemporary uses of artificial intelligence (AI) to identify conventional and unconventional risk factors for sports injuries in athl...
Mild traumatic brain injury (mTBI) is associated with substantial morbidity worldwide. Emerging evidence demonstrates that both impact- and blast-rela...
Hepatic ischemia-reperfusion injury (HIRI) is a frequently encountered complication during liver surgical procedures, characterized by ischemia-induce...
BACKGROUND AND AIM: Computer-aided detection (CADe) facilitates colorectal lesion detection, but it remains unclear whether CADe affects endoscopist's...
In deaths due to injury, photographs of changes on deceased bodies are routinely taken during the forensic examination; the task of differentiating th...
BACKGROUND AND OBJECTIVES: Severe traumatic brain injury (TBI) in children is associated with poor outcomes, but evidence surrounding the role of oper...
The rapid progress of artificial intelligence (AI) and the internet of things (IoT) has driven growing demand for high-performance, skin-compatible vi...
Traumatic brain injury (TBI) remains a formidable clinical, neuropathological, and forensic challenge, constituting a leading cause of death as well a...
OBJECTIVE: Generative artificial intelligence (GenAI) has rapidly expanded across education. While its educational benefits are widely recognized, con...
Contrast-induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventi...