Latest AI and machine learning research in surveys for healthcare professionals.
The extraction of bioactive compounds from medicinal plants is a crucial process in pharmaceutical and herbal medicine industries, yet it presents numerous challenges that can compromise quality, efficiency, and standardization. This study integrates Failure Mode and Effects Analysis (FMEA) with an advanced multi-criteria decision-making framework based on ZE-numbers, employing the ZE-based Best-W...
BACKGROUND: Underreporting of seizures, particularly focal onset impaired awareness seizures (FIAS), compromises the effectiveness of patient care and condition management in patients with epilepsy. Traditional reliance on patient self-reporting can lead to inaccuracies, hindering effective treatment. Wearable-based seizure detection algorithms offer a promising solution, however, developing an ef...
INTRODUCTION: Artificial intelligence (AI) can complete tasks that once required human cognitive effort. As a result, assessments that traditionally m...
OBJECTIVE: To evaluate radiologists' opinions on the clinical applications of artificial intelligence (AI), especially AI-based computer-aided detecti...
Representing signals using coordinate networks dominates the area of inverse problems recently, and is widely applied in various scientific computing ...
Self-collection of biospecimens at-home, without specialized equipment or training, are increasingly being adopted in clinical practice due to conveni...
BACKGROUND: Postoperative delirium (POD) following cardiac surgery is a severe complication, and early identification of delirium risk remains a chall...
Artificial intelligence (AI) is rapidly reshaping the landscape of health care, from clinical diagnostics and disease surveillance to the prediction o...
BACKGROUND: Internalizing disorders are among the most common psychiatric conditions in adolescence, often associated with long-term adverse outcomes....
PURPOSE: As a result of the emergence of Artificial Intelligence (AI), new applications for measuring active range of motion (AROM) in telerehabilitat...
Background: Cognitive Processing Therapy (CPT) is an effective, widely supported treatment for PTSD, but patient response varies considerably. Optimal...
Video-mediated listening has been recognized for its potential to facilitate learners' comprehension, engagement, and motivation by providing richer c...
BACKGROUND AND OBJECTIVE: Neuroimaging AI systems increasingly influence clinical decisions, yet demographic exclusions in training datasets may compr...
BackgroundPrecise anthropometric data are vital for ergonomic assessment and farm machinery design. Manual methods, although dependable, are labor-int...
BACKGROUND: Mental health disorders are a growing public health concern among university students globally and in India, exacerbated by stigma and lim...
Synthetic data, generated through advanced artificial intelligence models, are gaining traction in healthcare research, particularly in high-stakes fi...
Proteolysis-targeting chimeras (PROTACs) are heterobifunctional molecules composed of an E3 ligase ligand, a linker, and a warhead targeting a protein...
CONTEXT: Obesity is an independent risk factor for chronic kidney disease, and accurate estimation of the glomerular filtration rate (GFR) is crucial....
OBJECTIVE: Systematic reviews depend on rigorous risk-of-bias (RoB) assessments to ensure credibility, yet manual evaluation using the Cochrane RoB 2 ...
BACKGROUND: Accurate and noninvasive breast cancer grading and therapy monitoring remain critical challenges in oncology. Traditional methods often re...