Latest AI and machine learning research in preventive care for healthcare professionals.
The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptomatic to critical forms. High mortality and morbidity rates have been associated with risk factors such as comorbidities, age, sex, and virulence factors specific to viral variants. Material and Methods: We retrospectively evaluated imaging characteristics using the Brixia radiological score in relati...
Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and ability to elicit targeted immune responses. However, challenges in antigen and adjuvant design hinder their development. Recent advancements in in-silico approaches, including reverse vaccinology, structural vaccinology, and machine learning, have revolutionized vaccine development from empirical practi...
BACKGROUND: Breast cancer screening is considered an effective early detection strategy. Artificial intelligence (AI) may both offer benefits and crea...
The global impact of SARS-CoV-2 underscores the need for antiviral treatments beyond vaccines. This study targets Nsp14-MTase, a viral protein essenti...
The analysis of blood metabolites may help identify individuals at risk of having COPD and offer insights into its underlying pathophysiology. This st...
Making an early diagnosis of cancer still in the early stages, when completely asymptomatic, is the challenge modern medicine has been setting for sev...
The generation of realistic medical images from text descriptions has significant potential to address data scarcity challenges in healthcare AI whi...
Early detection of lung cancer is crucial for improving survival rates because it allows for potentially curative treatments; however, most lung cance...
Emerging contaminants (ECs) can exert irreversible health impacts on humans, even at trace concentrations. Currently, nontargeted screening of ECs has...
Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doctors and surgeons for diagnosis, treatments or medi...
This paper proposes a novel methodology for probabilistic dynamic security assessment and enhancement of power systems that considers load and gener...
Purpose To evaluate cancer detection and marker placement accuracy of two artificial intelligence (AI) models developed for interpretation of screenin...
Purpose To test a commercial artificial intelligence (AI) system for breast cancer detection at the BC Cancer Breast Screening Program. Materials and ...
Diabetic retinopathy (DR) is a frequent complication of diabetes, affecting millions worldwide. Screening for this disease based on fundus images has ...
Purpose To assess patient perceptions of artificial intelligence (AI) use in the interpretation of screening mammograms. Materials and Methods In a pr...
BACKGROUND: Artificial intelligence (AI) could improve accuracy and efficiency of breast cancer screening. However, many women distrust AI in health c...
Accurate detection of breast cancer from high-resolution mammograms is crucial for early diagnosis and effective treatment planning. Previous studie...
Purpose: The scarcity of high-quality curated labeled medical training data remains one of the major limitations in applying artificial intelligence...
Liver cirrhosis is an insidious condition involving the substitution of normal liver tissue with fibrous scar tissue and causing major health compli...
Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy is an effective tool for screening and preventing c...