Latest AI and machine learning research in clinical trials for healthcare professionals.
The field of pediatric critical care has been hampered in the era of precision medicine by our inability to accurately define and subclassify disease phenotypes. This has been caused by heterogeneity across age groups that further challenges the ability to perform randomized controlled trials in pediatrics. One approach to overcome these inherent challenges include the use of machine learning algo...
The safety of road construction is one of the most important concerns of construction managers for the following reasons: long-span construction operation, no fixed monitoring cameras, and huge impacts on existing traffic, while the managers still rely on manual inspection and a lack of image records. With the fast development of Unmanned Aerial Vehicle (UAV) and Artificial Intelligence (AI), moni...
BACKGROUND: To observe the effects of different positive end-expiratory pressure (PEEP) ventilation strategies on pulmonary compliance and complicatio...
In the field of regulatory science, reviewing literature is an essential and important step, which most of the time is conducted by manually reading h...
Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in practice is critical. Clinical evaluation aims to confirm a...
Accurate crash frequency prediction is critical for proactive safety management. The emerging connected vehicles technology provides us with a wealth ...
Robotic surgical training is undergoing a period of transition now that new robotic operating platforms are entering clinical practice. As this occurs...
Low-temperature plasmas have quickly emerged as alternative and unconventional types of radiation that offer great promise for various clinical modali...
In the prioritized vehicle traffic environment, motorized transportation has been obtaining more spatial and economic resources, posing potential thre...
BACKGROUND: Magnetic resonance imaging (MRI)-guided biopsies are an accurate, but technically challenging, method for screening and diagnosis of breas...
BACKGROUND: Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requireme...
Raman spectroscopy, combined with machine learning techniques, holds great promise for many applications as a rapid, sensitive, and label-free identif...
Laparoscopic simple prostatectomy (LSP) and robot-assisted simple prostatectomy (RASP) are important approaches for large benign prostatic hyperplasia...
Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns, despite a lack of understanding of its performance i...
Collision avoidance plays a major part in the control of the wheeled mobile robot (WMR). Most existing collision-avoidance methods mainly focus on a s...
Centralized statistical monitoring is sometimes employed as an alternative to onsite monitoring for randomized control trials. Current central monitor...
BACKGROUND: Robotic surgery (RS) may offer benefits compared with freehand/conventional surgery (FS) in the treatment of patients with spinal disease....
In considering the need of people all over the world for high-quality food, there has been a recent increase in interest in the role of nondestructive...
It is of great significance to explore the characteristic factors of postoperative nursing safety events in patients with otolaryngology surgery and t...