Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Robotics, once combined with cold atmospheric plasma, represent key elements of the next generation of personalized medicine and contribute to the effective yet immediate response to pandemics. Plasma robots can serve as CAP delivery vehicle to assist in tumor therapeutics and viral disease prevention in addition to the already prevalent utilities of robots in precision surgery, diagnosis, and ris...
Ultrasound is one of the critical methods for diagnosis and treatment in thyroid examination. In clinical application, many reasons, such as large outpatient traffic, time-consuming training of sonographers, and uneven professional level of physicians, often cause irregularities during the ultrasonic examination, leading to misdiagnosis or missed diagnosis. In order to standardize the thyroid ultr...
Brucellosis is one of the major public health problems in China, and human brucellosis represents a serious public health concern in Xinjiang and requ...
INTRODUCTION: Quantitative analysis of Mycobacterium tuberculosis using microscope is very critical for diagnosing tuberculosis diseases. Microbiologi...
In recent years, the incidence of thyroid nodules has shown an increasing trend year by year and has become one of the important diseases that endange...
Diabetic retinopathy (DR) is a disease resulting from diabetes complications, causing non-reversible damage to retina blood vessels. DR is a leading c...
Machine learning reveals pathways to neuroendocrine tumor (NET) diagnosis. Patients with NET and age-/gender-matched non-NET controls were retrospec...
Natural language processing software programs are used primarily to mine both structured and unstructured data from the electronic health record and o...
Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restr...
The 2019 novel coronavirus(COVID-19) spreads rapidly, and the large-scale infection leads to the lack of medical resources. For the purpose of providi...
Traditional screening of cervical cancer type classification majorly depends on the pathologist's experience, which also has less accuracy. Colposcopy...
BACKGROUND: Less experienced clinicians sometimes make misdiagnosis of hip fractures. We developed computer-aided diagnosis (CAD) system for hip fract...
An individualized innovative disease management is of great importance for people with multiple sclerosis (pwMS) to cope with the complexity of this c...
Although progress is being made in affective computing, issues remain in enabling the effective expression of compassionate communication by healthcar...
The opportunistic exchange of information between vehicles can significantly contribute to reducing the occurrence of accidents and mitigating their d...
The electroencephalogram (EEG) is a fundamental tool in the diagnosis and classification of epilepsy. In particular, Interictal Epileptiform Discharge...
Sensor technologies and data collection practices are changing and improving quality metrics across various domains. Surgical skill assessment in Rob...
Although digoxin is important in heart rate control, the utilization of digoxin is declining due to its narrow therapeutic window. Misdiagnosis or del...
Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial and temporal scales, attributable to variations of ...
BACKGROUND: Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is es...