Latest AI and machine learning research in preventive care for healthcare professionals.
INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...
BACKGROUND: Identifying structural heart diseases (SHDs) early can change the course of the disease,...
OBJECTIVE: Diabetic retinopathy (DR) screening rates are poor in remote Western Australia where comm...
In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...
Septic acute respiratory distress syndrome (ARDS) is a complex and noteworthy type, but its molecula...
Scoring functions (SFs) of molecular docking is a vital component of structure-based virtual screeni...
MOTIVATION: Progress in sequencing technology has led to determination of large numbers of protein s...
BACKGROUND: We use real-world data to develop a lung cancer screening (LCS) eligibility mechanism th...
BACKGROUND: The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activ...
Background The ScreenTrustCAD trial was a prospective study that evaluated the cancer detection rate...
INTRODUCTION: Artificial intelligence (AI) is transforming various aspects of everyday life, includi...
Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public healt...
This systematic review evaluates the application of machine learning (ML) models for diagnosing pulm...
This study aims to utilize male blood metabolite signatures for (i) distinguishing between healthy i...
Purpose To evaluate the performance of eight lung cancer prediction models on patient cohorts with s...
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiv...
Using methylation characteristics of human genes to construct machine learning predictive models fo...
BACKGROUND: This research aims to use deep learning to create automated systems for better breast ca...
Background Combined mammography and MRI screening is not universally accessible for women with inter...
Purpose To evaluate the change in digital breast tomosynthesis artificial intelligence (DBT-AI) case...