Artificial Intelligence Medical Compendium

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

Showing 73,151 to 73,160 of 235,503 articles

Examining the Role of Artificial Intelligence in Assessment: A Comparative Study of ChatGPT and Educator-Generated Multiple-Choice Questions in a Dental Exam.

European journal of dental education : official journal of the Association for Dental Education in Europe
AIM: To compare the item difficulty and discriminative index of multiple-choice questions (MCQs) generated by ChatGPT with those created by dental educators, based on the performance of dental students in a real exam setting. MATERIALS AND METHODS: A... read more 

Exploring the impacts of key drivers on ground-level ozone in Southeast China using machine learning.

Journal of environmental sciences (China)
As a major atmospheric contaminant, ground-level ozone (O3) necessitates comprehensive analysis of the determinants influencing its concentration. Although recent researches have greatly improved our understanding of O3 formation in urban areas, the ... read more 

AI-based identification of Chinese vascular plants from herbarium specimens: a tool for all herbaria with Chinese holdings.

The New phytologist
Documenting the geographic ranges of the World's > 350 000 named species of vascular plants requires artificial intelligence (AI) because there are insufficient experts to speedily identify dried plants, a task that requires access to thousands of al... read more 

Temporal Evolution and Projections of Violence Against Women in Brazil: Scenarios from 2013 to 2033.

Journal of interpersonal violence
This study aims to analyze the historical evolution of violence against women across all life stages in Brazil between 2013 and 2023. Using data from the Notifiable Diseases Information System and population projections from the Brazilian Institute o... read more 

A two-step joint model based on deep learning realizes intelligent recognition of exfoliated cells in serous effusion.

Computational biology and chemistry
Cytological examination of serous effusion is critical for diagnosing malignancies, yet it heavily relies on subjective interpretation by pathologists, leading to inconsistent accuracy and misdiagnosis, especially in regions with limited medical reso... read more 

Machine learning pipeline with custom grid search for colorectal Raman spectroscopy data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Colorectal cancer remains a major health burden, and its early detection is crucial for effective treatment. This study investigates the use of a handheld Raman spectrometer in combination with machine learning to classify colorectal tissue samples c... read more 

AI-driven diagnosis of Lassa fever: Evidence from Nigerian clinical records.

Computational biology and chemistry
BACKGROUND: Neglected Tropical Diseases (NTDs), particularly Lassa fever, remain a significant public health challenge in Nigeria, often presenting with symptoms similar to malaria. These similarities contribute to misdiagnoses, delayed treatments, a... read more 

In silico evaluation of pharmacokinetic properties and molecular docking for the identification of potential anticancer compounds.

Computational biology and chemistry
INTRODUCTION: In the pharmaceutical field, the rapid and accurate characterization of physicochemical properties is essential for drug development. In this context, in silico methodologies facilitate the early-stage prediction of ADME (Absorption, Di... read more 

MiR-138 reprograms dental pulp stem cells into GABAergic neurons via the GATAD2B/MTA3/WNTs axis for stroke treatment.

Biomaterials
Prolonged periods of ischemia and hypoxia pose significant challenges to exogenous stem cell transplantation, including minimal cell survival, varied differentiation, and poor integration with existing neural networks. Dental pulp stem cells (DPSCs) ... read more 

BM3D filtering with Ensemble Hilbert-Huang Transform and spiking neural networks for cardiomegaly detection in chest radiographs.

Computational biology and chemistry
Cardiomyopathy is a life-threatening condition associated with heart failure, arrhythmias, thromboembolism, and sudden cardiac death, posing a significant contribution to worldwide morbidity and mortality. Cardiomegaly, which is usually the initial r... read more