Latest AI and machine learning research in preventive care for healthcare professionals.
We evaluate the performance of multiple text classification methods used to automate the screening o...
Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follo...
OBJECTIVE: Reportedly, two-thirds of the patients who were positive for diabetes during screening fa...
Target prediction and virtual screening are two powerful tools of computer-aided drug design. Target...
An appropriate screening approach and quality care are crucial for TB programmes in prisons. This s...
BACKGROUND: Intracranial hemorrhage (ICH) is considered an emergency that requires rapid medical or ...
OBJECTIVES: We desired an automated approach to expedite ordering additional antibody panels in our ...
OBJECTIVES: To develop and validate an artificial intelligence system, the Prenatal ultrasound diagn...
SUMMARY: Deep learning (DL) can significantly accelerate virtual screening of ultra-large chemical l...
MOTIVATION: Antibodies are one of the most important classes of pharmaceuticals, with over 80 approv...
BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arte...
Colorectal cancer incidence has continually fallen among those 50Â years old and over. However, the i...
BACKGROUND: Precise classification of incomplete antibody reactants (IAR) in the Coombs test is the ...
The use of humanoid robot technologies within global healthcare settings is rapidly evolving; howeve...
Most states have legalized medical cannabis, yet little is known about how medical cannabis use is ...
The ability to manipulate capripoxvirus through gene knockouts and gene insertions has become an inc...