Artificial Intelligence Medical Compendium

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

Showing 141 to 150 of 156,510 articles

Decision trees for combining morphological traits and measurements of the skull for osteological sex estimation.

Journal of forensic sciences
Forensic anthropologists commonly estimate osteological sex using separate metric and morphological analyses, without integrating both data types into a single statistical model. Combining data types into one classification model has the potential to...

Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients.

Journal of translational medicine
BACKGROUND: The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating complications related to portal hypertension in patients with liver cirrhosis, is often associated with an increased risk of postoperative complications...

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...

Computational Strategies to Enhance Vitamin B Biosynthesis Potential of Microbes.

Current microbiology
Vitamin B is a vital nutrient for the normal functioning of many metabolic processes. It has a characteristic corrinoid ring structure with a cobalt ion. Its complex chemical structure demands 30 enzyme-catalyzed steps for synthesis. Deficiency of th...

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...

A hybrid self attentive linearized phrase structured transformer based RNN for financial sentence analysis with sentence level explainability.

Scientific reports
As financial institutions want openness and accountability in their automated systems, the task of understanding model choices has become more crucial in the field of financial text analysis. In this study, we propose xFiTRNN, a hybrid model that int...

eNCApsulate: neural cellular automata for precision diagnosis on capsule endoscopes.

International journal of computer assisted radiology and surgery
PURPOSE: Wireless capsule endoscopy (WCE) is a noninvasive imaging method for the entire gastrointestinal tract and is a pain-free alternative to traditional endoscopy. It generates extensive video data that requires significant review time, and loca...