Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
The aim of the study was to optimize the pre-hospital first aid management strategy for patients with infectious diseases in Huizhou city, which is expected to provide a basis for the epidemic prevention and control, to save lives, and increase the pre-hospital first aid efficiency. At the Department of Emergency, Huizhou Third People's Hospital as the research subject, the common pre-hospital fir...
Stochasticity is an inherent feature of biological neural activities. We propose a noise-injection scheme to implement a GHz-rate stochastic photonic spiking neuron (S-PSN). The firing-probability encoding is experimentally demonstrated and exploited for Bayesian inference with unsupervised learning. In a breast diagnosis task, the stochastic photonic spiking neural network (S-PSNN) can not only a...
Sexual abuse of children is an important issue with severe consequences, so self-care education programs increase children's awareness, knowledge, and...
Vertically partitioned data is distributed data in which information about a patient is distributed across multiple sites. In this study, we propose a...
The advancement of healthcare towards P5 medicine requires communication and cooperation between all actors and institutions involved. Interoperabilit...
Application of Artificial Intelligence (AI) tools has recently gained interest in the fields of medical imaging and radiotherapy. Even though there ha...
PURPOSE: Infectious keratitis, especially viral keratitis (VK), in resource-limited settings, can be a challenge to diagnose and carries a high risk o...
OBJECTIVES: Chronic suppurative otitis media (CSOM) and middle ear cholesteatoma (MEC) are the 2 most common chronic middle ear diseases. In the proce...
Accurate and reliable information about three-dimensional (3D) knee joint laxity can prevent misdiagnosis and avoid incorrect treatments. Nevertheless...
In scientific communication, "my" patient should be differentiated from the "average" patient of randomized controlled clinical trials. Communication ...
A significant portion of data in Electronic Health Records is only available as unstructured text, such as surgical or finding reports, clinical notes...
In rolling shutter (RS)-based optical camera communication (OCC) links, selecting the appropriate camera's exposure time is critical, as it limits the...
Emergency care is one of the cornerstone parts of the world health organization's action plan. Rapid response and immediate care are considered in agi...
Cardiothoracic diseases are a serious threat to human health and chest X-ray image is a great reference in diagnosis and treatment. At present, it has...
Telemedicine, which integrates medicine, communication, engineering, information and other disciplines, is a hot emerging cross field in recent years....
More than 40 years after the first implantable cardioverter-defibrillator (ICD) implantation, sudden cardiac death (SCD) still accounts for more than ...
In ever more pressured health-care systems, technological solutions offering scalability of care and better resource targeting are appealing. Research...
An increase in the number of surgical robots from four to nine at a large academic medical center in the northeastern United States created several ch...
Multi- and few-mode fibers (FMFs) promise to enhance the capacity of optical communication networks by orders of magnitude. The key for this evolution...
A deep learning channel estimation scheme in orthogonal frequency division multiplexing for X-ray communication (XCOM) is studied. The scheme uses sim...