Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
STUDY OBJECTIVE: While patient-centered communication and shared decisionmaking are increasingly rec...
This article presents the hardware-software design and implementation of an open, integrated, and sc...
The demand for water resources during urbanization forces the continuous exploitation of groundwater...
Breast cancer is one among the most frequent reasons of women's death worldwide. Nowadays, healthcar...
Patients with rare diseases are a major challenge for healthcare systems. These patients face three ...
Machine learning approaches are just emerging in eating disorders research. Promising early results ...
Embedding optical camera communication (OCC) commercially as a favorable complement of radio-frequen...
A rapid, on-site, and accurate SARS-CoV-2 detection method is crucial for the prevention and control...
INTRODUCTION: Neurodegenerative diseases (NDDs) are a series of chronic diseases, which are associat...
Haptic communication, the exchange of force and tactile information during dancing or moving a table...
Repetitive industrial tasks can be easily performed by traditional robotic systems. However, many ot...
OBJECTIVES: Rapid communication of CT exams positive for pulmonary embolism (PE) is crucial for time...
Forward error correction coding is the most common way of channel coding and the key point of error ...
Robotics, once combined with cold atmospheric plasma, represent key elements of the next generation ...
Ultrasound is one of the critical methods for diagnosis and treatment in thyroid examination. In cli...
Brucellosis is one of the major public health problems in China, and human brucellosis represents a ...
INTRODUCTION: Quantitative analysis of Mycobacterium tuberculosis using microscope is very critical ...
In recent years, the incidence of thyroid nodules has shown an increasing trend year by year and has...
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-reversible...
Machine learning reveals pathways to neuroendocrine tumor (NET) diagnosis. Patients with NET and a...
Natural language processing software programs are used primarily to mine both structured and unstruc...