AIMC Topic: Humans

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Hierarchical agent transformer network for COVID-19 infection segmentation.

Biomedical physics & engineering express
Accurate and timely segmentation of COVID-19 infection regions is critical for effective diagnosis and treatment. While convolutional neural networks (CNNs) exhibit strong performance in medical image segmentation, they face challenges in handling co...

An Optimised Mobilenet V2 Attention Parallel Network for Predicting Drug-Drug Interactions Through Combining Local and Global Features.

Biopharmaceutics & drug disposition
Drug-drug interactions (DDIs) are an important concern in the clinical practice and drug development process as these may lead to serious adverse effects on patient safety. Thorough DDI prediction is important for effective medication management and ...

Machine learning-based prediction of mortality risk in AIDS patients with comorbid common AIDS-related diseases or symptoms.

Frontiers in public health
OBJECTIVE: Early assessment and intervention of Acquired Immune Deficiency Syndrome (AIDS) patients at high risk of mortality is critical. This study aims to develop an optimally performing mortality risk prediction model for AIDS patients with comor...

Sustainable visions: unsupervised machine learning insights on global development goals.

PloS one
The 2030 Agenda for Sustainable Development of the United Nations outlines 17 goals for countries of the world to address global challenges in their development. However, the progress of countries towards these goal has been slower than expected and,...

An efficient deep learning-based strategy to screen inhibitors for GluN1/GluN3A receptor.

Acta pharmacologica Sinica
The GluN1/GluN3A receptor, a unique excitatory glycine receptor recently identified in the central nervous system, challenges traditional perspectives of N-methyl-D-aspartate (NMDA) receptor diversity and glycinergic signaling. Its role in emotional ...

AI am the future: artificial intelligence in pediatric rheumatology.

Current opinion in rheumatology
PURPOSE OF REVIEW: There is a growing interest in the applications of artificial intelligence in pediatric rheumatology. Although concerns with training datasets, ethical considerations, and the need for a major utilization of explainable artificial ...

Endoscopists' knowledge, perceptions, and attitudes toward the use of artificial intelligence in endoscopy: a systematic review.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: Artificial intelligence (AI) is rapidly evolving in the field of GI endoscopy. This systematic review aims to summarize the current perspectives of endoscopists on AI in endoscopy and to identify its challenges.

Assessing GPT-4's accuracy in answering clinical pharmacological questions on pain therapy.

British journal of clinical pharmacology
AIMS: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, in answering clinical pharmacological questions related to pain therapy, with a focus on its potential as a tool for delivering patient-facing medical ...

Unveiling the power of R: a comprehensive perspective for laboratory medicine data analysis.

Clinical chemistry and laboratory medicine
R language has gained traction in laboratory medicine for its statistical power and dynamic tools like RMarkdown and RShiny. However, there is limited literature summarizing R packages and functions tailored for laboratory medicine, making it difficu...