Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
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...
Digital data sources have become ubiquitous in modern culture in the era of digital technology but ...
The 2019 novel coronavirus(COVID-19) spreads rapidly, and the large-scale infection leads to the lac...
Traditional screening of cervical cancer type classification majorly depends on the pathologist's ex...
BACKGROUND: Less experienced clinicians sometimes make misdiagnosis of hip fractures. We developed c...
An individualized innovative disease management is of great importance for people with multiple scle...
Although progress is being made in affective computing, issues remain in enabling the effective expr...
The opportunistic exchange of information between vehicles can significantly contribute to reducing ...
The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of epilepsy...
Sensor technologies and data collection practices are changing and improving quality metrics across...
Although digoxin is important in heart rate control, the utilization of digoxin is declining due to ...