Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Obesity, a multifactorial and complex health condition, has emerged as a significant glo...
Aortic stenosis (AS) is frequently identified at an advanced stage after clinical symptoms appear. ...
OBJECTIVE: To investigate the signature genes of fatty acid metabolism and their association with im...
OBJECTIVE: We developed an optimized decision support system for retinal fundus image-based glaucoma...
AIMS: To examine whether sublingual microcirculation can be used as an effective and noninvasive met...
OBJECTIVE: This paper aims to address the challenges in abstract screening within systematic reviews...
Ischemic stroke (IS) has a high recurrence rate. Machine learning (ML) models have been developed ba...
OBJECTIVES: The high incidence of coronary artery heart disease (CHD) poses a significant burden and...
Diabetes mellitus (DM) is a significant public health issue in Germany, affecting 8 million individu...
This study introduces a Generative Artificial Intelligence (GenAI) assistant designed to address key...
This study leverages data from a Canadian database of primary care Electronic Medical Records to dev...
We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare i...
Type 2 Diabetes (T2D) is a prevalent lifelong health condition. It is predicted that over 500 millio...
In light of the global increase in breast cancer cases and the crucial importance of the density of ...
This study developed and validated a machine learning model for predicting glycemic control in child...
Atrial fibrillation (AF) prediction and screening are of important clinical interest because of the ...
Traditional Chinese medicine(TCM) placebos are simulated preparations for specific objects and the c...
BACKGROUND: Homologous recombination plays a vital role in the occurrence and drug resistance of gas...