Latest AI and machine learning research in product alert for healthcare professionals.
To explore the influence of high-voltage electrical burns on the number of platelet aggregation, β-thromboglobulin (β-TG) and platelet factor 4 (PF-4) and the interventional effects of ulinastatin in rats with high-voltage electrical burns. A total of 240 Sprague-Dawley rats were divided into sham injury (SI) group, simple electrical burn (SEB) group, normal saline (NS) group, and ulinastatin (U...
This is a retrospective case-control study.The aim of this study was to compare the surgical results of percutaneous kyphoplasty (KP) and posterior spinal fixation with vertebroplasty (PSF+VP) for treatment of Kümmell disease (KD).KD is rare form of post-traumatic delayed avascular necrosis of the vertebral body. It is reported that KP is an effect measure for treatment of KD. Some studies have re...
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is...
BACKGROUND: To prevent persistent post-surgery pain, early identification of patients at high risk is a clinical need. Supervised machine-learning tec...
OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media dat...
The goal of this study was to determine how individuals post-stroke response to the lateral assistance force applied to the pelvis during treadmill wa...
In this paper, we present an assist-as-needed scheme that effectively adapted the assistance provided by an ankle rehabilitation robot according to pa...
Fine-meshed perioperative measurements are offering enormous potential for automatically investigating clinical complications during general anesthesi...
In times of steadily increasing numbers of administered drugs, the detection of adverse drug events (ADEs) is an important aspect of improving patient...
Tc-Macroaggregated Albumin (Tc-MAA) has been used as a perfusion agent. This study described development of the Ga-MAA via commercially available kits...
There is a problem associated with contemporary studies of philosophy of mind, which focuses on the identification and convergence of human and machin...
The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic he...
Spikes in Lamotrigine concentrations levels and associated clinical toxicity may occur unpredictably. This study describes the development and validat...
This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from ...
The ability of correlation integral for automatic seizure detection using scalp EEG data has been re-examined in this paper. To facilitate the detecti...
Response to prescribed analgesic drugs varies between individuals, and choosing the right drug/dose often involves a lengthy, iterative process of tri...
This thesis contains four studies all focusing on women with endometrial cancer undergoing robotic-assisted laparoscopic hysterectomy (RALH). Women wi...
Robotics is an emerging field in rehabilitation medicine. Robots have the potential to complement traditional clinical assessments because they can me...
While many factors depend on successful implantation and outcome of left ventricular assist devices (LVAD), echocardiography remains an integral part ...