Latest AI and machine learning research in clinical trials for healthcare professionals.
The widespread adoption of virtual residency interviews in response to the COVID-19 pandemic led to ...
OBJECTIVES: Despite the rapid growth of generative artificial intelligence (AI), virtually no resear...
Current methods for radiological classification in traumatic brain injury (TBI), such as the Marshal...
An LLM-based AI tool significantly improved identification of potentially eligible patients and scre...
IMPORTANCE: Depression most commonly first emerges during adolescence, making early prevention criti...
BACKGROUND: Sensor-based footwear is increasingly discussed as a promising tool for mobility monitor...
The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapid...
INTRODUCTION: Soft robotic gloves (SRGs) integrated with brain-computer interfaces (BCIs) have demon...
Counterfeit and substandard pharmaceuticals represent a critical global health crisis, with the Worl...
Artificial intelligence (AI) is increasingly embedded in language education, and learners' acceptanc...
The presence of mono- and dual-species biofilms in food industry poses a critical threat with respec...
AIMS: Heart failure (HF) requires scalable strategies to detect decompensation early and reduce hosp...
BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient level...
Safety instrumented systems (SISs) play a crucial role in preventing major accidents in the petroche...
INTRODUCTION: Integrated digital diagnostics can support complex surgeries in many anatomic sites, a...
Artificial intelligence (AI) and machine learning (ML) are beginning to enhance key workflows across...
Recently developed machine learning-enabled approaches to quality tolerance limit (QTL) surveillance...
UNLABELLED: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is characterized by...
Computer self-efficacy plays a crucial role in users' AI usage, but the research on this aspect is i...
Accurate characterization of vehicle speed distributions is essential for evaluating driving safety ...
The effectiveness of middle meningeal artery (MMA) embolization for chronic subdural hematoma is wel...