Latest AI and machine learning research in covid-19 for healthcare professionals.
Radiotherapy plays an important role in controlling the local recurrence of esophageal cancer after ...
The intra- and inter-observer variability in diagnosis of thoracic CT images may affect the diagnosi...
There is a scarcity of data regarding the impact of cytomegalovirus (CMV) infection complicating the...
Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitiv...
MOTIVATION: Monoclonal antibodies are essential tools in the contemporary therapeutic armory. Unders...
MOTIVATION: Despite of the lack of folded structure, intrinsically disordered regions (IDRs) of prot...
Police officers currently use the colloidal gold rapid testing method to detect heroin in the urine ...
OBJECTIVE: This study aimed to use the radiomics signatures of a machine learning-based tool to eval...
SIGNIFICANCE: Label-free quantitative phase imaging is a promising technique for the automatic detec...
Recent Coronavirus (COVID-19) is one of the respiratory diseases, and it is known as fast infectious...
OBJECTIVES: Socially assistive robots (SARs) need to be studied from older adults' perspective, give...
The results of research on the use of artificial intelligence (AI) for medical imaging of the lungs ...
Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Un...
The models used to estimate disease transmission, susceptibility and severity determine what epidemi...
P. petiolosa as a typical Chinese herbal medicine has been generally utilized as Chinese native medi...
OBJECTIVE: In an effort to improve the efficiency of computer algorithms applied to screening for co...
We propose a conceptually simple framework for fast COVID-19 screening in 3D chest CT images. The fr...
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more th...
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an exis...
Segmentation of pneumonia lesions from CT scans of COVID-19 patients is important for accurate diagn...
Pulmonary lobe segmentation in computed tomography scans is essential for regional assessment of pul...