Latest AI and machine learning research in clinical trials for healthcare professionals.
The aim of this study is to evaluate the role of convolutional neural network (CNN) in predicting axillary lymph node metastasis, using a breast MRI dataset. An institutional review board (IRB)-approved retrospective review of our database from 1/2013 to 6/2016 identified 275 axillary lymph nodes for this study. Biopsy-proven 133 metastatic axillary lymph nodes and 142 negative control lymph nodes...
Interindividual differences in pain sensitivity vary as a function of interactions between sensory, cognitive-affective, and dispositional factors. Trait mindfulness, characterized as the innate capacity to nonreactively sustain attention to the present moment, is a psychological construct that is associated with lower clinical pain outcomes. Yet, the neural mechanisms supporting dispositional min...
Numerous advances have been made in prosthesis design, instrumentation and postoperative rehabilitation for unicompartmental knee arthroplasty; howeve...
To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulation endoscopy. When the master of YunSRobot was in...
The effect of 5 plant species (arborvitae [], boxwood [ sp., Japanese honeysuckle [], rhododendron [ sp.], and zebra grass []) and 2 rates of lambda-c...
Recently, the interest of industry, government agencies and healthcare professionals in technology for aging people has increased. The challenge is wh...
Present study is conducted to investigate the efficacy and safety of application of low-molecular-weight heparin calcium in the prophylaxis of deep ve...
Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-specific glycoprotein-based enzyme-linked immunosorbent...
Robotic and sensor-based neurologic rehabilitation for the upper limb is an established concept for motor learning and is recommended in many national...
INTRODUCTION: Previous randomized controlled trials have demonstrated the efficacy of antifibrinolytic agents in the reduction of intraoperative blood...
BACKGROUND: An assist-as-needed robot-assisted gait training protocol was recently developed. It allows active movement during training, but its exact...
This study is aimed at assessing of a robot intervention in a task-based upper-arm rehabilitation procedure. Robotic devices have significantly been u...
Continuous electronic fetal monitoring (EFM) is used worldwide to visually assess whether a fetus is exhibiting signs of distress during labor, and ma...
In this systematic review, we sought to summarize the 3 recent sodium-glucose cotransporter 2 inhibitor (SGLT2i) trials (Dapagliflozin Effect on Cardi...
The impact of transcranial direct current stimulation (tDCS) is controversial in the neurorehabilitation literature. It has been suggested that tDCS s...
OBJECTIVE: Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to pr...
PURPOSE: We prospectively assessed the early radiographic and clinical outcomes (minimum follow-up of 2 years) of robot-assisted pedicle screw fixatio...
OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the risks of e-cigarettes are underexamined. Most e-ciga...
BACKGROUND: Preliminary evidence showed additional effects of anodal transcranial direct current stimulation over the damaged cerebral hemisphere comb...
ICD encoded diagnoses are a popular criterion for eligibility algorithms for study cohort recruitment. However, "official" ICD encoded diagnoses used ...