Latest AI and machine learning research in clinical trials for healthcare professionals.
STUDY OBJECTIVE: To evaluate the effects of ventilation with low tidal volume and positive end-expir...
Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate thei...
OBJECTIVE: To annotate a corpus of randomized controlled trial (RCT) publications with the checklist...
BACKGROUND: The efficacy of artificial intelligence (AI)-driven automated medical-history-taking sys...
OBJECTIVE: To examine whether tailored robotic platform training could improve postural stability co...
Coronary luminal dimensions change during the cardiac cycle. However, contemporary volumetric intrav...
Vehicle automation safety must be evaluated not only for market success but also for more informed d...
The introduction of Automated Vehicles (AVs) into the transportation network is expected to improve ...
BACKGROUND: Regaining gait capacity is an important rehabilitation goal post stroke. Compared to cli...
Robotic interventional neuroradiology is an emerging field with the potential to enhance patient saf...
Drug development is time-consuming and inherently possesses a high failure rate. Pharmaceutical form...
IMPORTANCE: Decision aids can help inform appropriate selection of total knee replacement (TKR) for ...
Artificial intelligence (AI) encompasses technologies recapitulating four dimensions of human intell...
BACKGROUND: Wearable ankle robotics could potentially facilitate intensive repetitive task-specific ...
The field of Artificial Intelligence (AI) is going through a period of great expectations, introduci...
Dietary supplements (DSs) have been widely used in the U.S. and evaluated in clinical trials as pote...
Traffic congestion is monotonically increasing, especially in large cities, due to rapid urbanizatio...
Human muscle fatigue is the main result of diminishing muscle capability, leading to reduced perform...
A central ambition of the robotics field has been to increasingly miniaturize such systems, with per...
To compare the performance of artificial intelligence (AI) and Radiographic Assessment of Lung Edema...
Machine learning (ML) was used to determine whether early response can predict efficacy outcome in p...