Artificial Intelligence Medical Compendium

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

Showing 5,171 to 5,180 of 174,202 articles

Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports.

BMJ health & care informatics
OBJECTIVE: To evaluate the transferability of BERT (Bidirectional Encoder Representations from Transformers) to patient safety, we use it to classify incident reports characterised by limited data and encompassing multiple imbalanced classes. read more 

Human augmentation to deliver an enhanced and resilient people capability for Defence.

BMJ military health
From first tools, to flight, to advances in medicine and biotechnology, enhancing our innate abilities has been a constant goal and militaries the world over have long sought to advance the limits of human performance in their warfighters. Human augm... read more 

Multimodal prediction of tyrosine kinase inhibitors therapy outcomes in advanced EGFR-mutated NSCLC patients.

Journal of translational medicine
BACKGROUND: Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are effective first-line treatments for advanced non-small-cell lung cancer (NSCLC) patients with EGFR mutations. However, some patients do not respond we... read more 

Unveiling the impact of bisphenol a exposure on gene expression and immune response in diabetic nephropathy through integrative toxicogenomics and molecular dynamics approaches.

Diabetology & metabolic syndrome
BACKGROUND: Bisphenol A (BPA) exposure has been implicated in various health issues, including diabetic nephropathy (DN). Understanding the molecular mechanisms underlying BPA-induced DN is crucial for developing effective therapeutic strategies. read more 

Assessing the connectedness between green finance, financial developments, traditional energy consumption, economic growth, population aging and environmental degradation in RECP economies: A deep learning-based analysis.

Journal of environmental management
Climate change is a global pressing issue that cannot tackle without curbing CO emissions, which are a major contributor to climate change. Therefore, this study investigates the influencing effect of green finance especially in renewable energy, fin... read more 

Cycle-configuration descriptors: a novel graph-theoretic approach to enhancing molecular inference.

Journal of cheminformatics
Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular... read more 

Research on the impact of artificial intelligence applications on agricultural green development.

Scientific reports
A good ecological environment represents the most inclusive form of people's well-being, and it is also the greatest advantage and precious asset in rural areas. Therefore, it is of great significance to accelerate the green development of agricultur... read more 

Digital language measures capture episodic memory disruptions in people with human immunodeficiency virus: A machine learning study.

The Clinical neuropsychologist
Human immunodeficiency virus (HIV) often affects episodic memory. Yet, standard measures of this domain are derived from clinicians' simple counts of recalled and omitted pieces of information, undermining robustness, informativeness, and scalabilit... read more 

Evaluating the performances of various machine-learning solutions to manage and utilize the interleukin-6 test requests.

Computers in biology and medicine
OBJECTIVES: This study aims to develop and evaluate machine-learning (ML) models that can predict interleukin-6 (IL-6) test outcomes and support the management of inappropriate IL-6 test requests. read more 

Non-target screening and priority assessment of organic pollutants in tropical island watershed water.

Ecotoxicology and environmental safety
Numerous organic chemicals are present in aquatic environments, yet systematically identifying and prioritizing these compounds remains a major challenge, particularly in tropical island watersheds where data are scarce. In this study, we applied hig... read more