Artificial Intelligence Medical Compendium

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

Showing 151 to 160 of 156,510 articles

Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer.

Scientific reports
Deep learning has been used for automatic planning of radiotherapy targets, such as inferring the clinical target volume (CTV) for a given new patient. However, previous deep learning methods mainly focus on predicting CTV from CT images without cons...

Accuracy and Reliability of ChatGPT in Answering Patient Questions About Lung Cancer and Its Surgery: An Expert Panel Evaluation by Thoracic Surgeons.

Journal of cancer education : the official journal of the American Association for Cancer Education
This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses to frequently asked patient questions concerning lung cancer and its surgical treatment, through an expert panel of thoracic surgeons. A total of 36 fr...

Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions.

Scientific reports
Deep neural networks have significantly enhanced visual data-based fire detection systems. However, high false alarm rates, shallow-layered networks, and poor recognition in challenging environments continue to hinder their practical deployment. To a...

Estimation of soil free Iron content using spectral reflectance and machine learning algorithms.

Scientific reports
Spectral reflectance technology has emerged as a promising tool for estimating soil properties while offering a rapid, non-destructive, and cost-effective alternative to traditional methods. Free iron is an important soil property, and it reflects th...

Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.

Scientific reports
The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), has underscored the need to understand the virus's evolution due to its global health impact. This study employed RNA sequencing (RNA-Seq) to analyze g...

D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustainability framework with NQS assessment and UN-SDG integration.

BMC chemistry
The novel anti-glaucoma ophthalmic preparation containing latanoprost, netarsudil, and benzalkonium chloride has posed a significant challenge due to its complexity and the lack of environmentally sustainable quantification methods, with only a singl...

A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.

Scientific reports
Early and accurate detection of oral cancer plays a pivotal role in improving patient outcomes. This research introduces a custom-designed, 19-layer convolutional neural network (CNN) for the automated diagnosis of oral cancer using clinical images o...