Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 371 to 380 of 6,574 articles

An academic evaluation of ChatGpt's ability and accuracy in creating patient education resources for rare cardiovascular diseases.

Scientific reports
Generative Pre-trained Transformer (ChatGPT) is a web-based artificial intelligence assistant with the potential to provide information, answer questions, and make recommendations on various topics. Rare cardiovascular diseases (rCVD) are among the h... read more 

Predictiveness and drivers of highly pathogenic avian influenza outbreaks in Europe.

Scientific reports
Avian Influenza (AI) outbreaks are on an increasing trajectory. This disease carries a substantial economic burden, resulting in considerable losses to farmers with profound impacts on economies. As the outbreaks continue in birds and other unusual h... read more 

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Scientific reports
Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression. Here, we identified TLR-related genes, providing novel ins... read more 

The impact of artificial intelligence on green economy efficiency under integrated governance.

Scientific reports
This study investigates the impact of Artificial Intelligence (AI) on Green Economic Efficiency (GEE) using panel data from 30 Chinese provinces spanning from 2011 to 2020. The empirical results demonstrate that AI significantly enhances GEE, with it... read more 

Prognosis of air quality index and air pollution using machine learning techniques.

Scientific reports
Air pollution constitutes a significant challenge for both public health and environmental sustainability. Pollutants like PM, O, NO, SO, and CO cause serious health problems and ecological damage. This study utilizes five machine learning (ML) model... read more 

An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy.

Scientific reports
B-ultrasound results are widely used in early pregnancy loss (EPL) prediction, but there are inevitable intra-observer and inter-observer errors in B-ultrasound results especially in early pregnancy, which lead to inconsistent assessment of embryonic... read more 

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions.

Scientific reports
In high energy density physics (HEDP) and inertial confinement fusion (ICF), predictive modeling is complicated by uncertainty in parameters that characterize various aspects of the modeled system, such as those characterizing material properties, eq... read more 

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Scientific reports
Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fibrosis (IPF). This study aimed to elucidate pathogenic pathways connecting obesity and IPF and identify diagnostic biomarkers for obesity-related pulmo... read more 

A lightweight framework to secure IoT devices with limited resources in cloud environments.

Scientific reports
Billions of IoT devices increasingly function as gateways to cloud infrastructures, making them an inevitable target of cyber threats because of the limited resources and low processing capabilities of IoT devices. This paper proposes a lightweight d... read more 

Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management.

Scientific reports
Elevated postprandial glucose levels present a global epidemic and a major challenge in type-2 diabetes (T2D) management. A key barrier to developing effective dietary interventions for T2D management is the wide inter-individual variation in glycemi... read more