Artificial Intelligence Medical Compendium

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

Showing 1,281 to 1,290 of 200,346 articles

Correction to: Integrating transcriptomics, network pharmacology, and GraphBAN neural networks to identify biomarkers and regulatory mechanisms of classical traditional Chinese medicine formulations in ulcerative colitis.

Naunyn-Schmiedeberg's archives of pharmacology Jun 1, 2026
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Predicting depressive symptoms among Chinese college students using recurrent neural networks with longitudinal data.

Scientific reports Jun 1, 2026
College students face a higher risk of depression than their non-college peers. However, the predictors of depressive symptoms among college students and their relative importance remain inconclusive. This study aimed to develop predictive models for... read more 

CCDC6, a ferroptosis-related gene, modulates stemness features of pancreatic cancer cells in vitro.

BMC cancer Jun 1, 2026
OBJECTIVE: Pancreatic cancer (PC) poses a significant threat to patient quality of life. Ferroptosis, a novel form of non-apoptotic cell death, is implicated in pancreatic tumorigenesis and therapy resistance. This study aims to identify key ferropto... read more 

A novel and accurate EEG emotion classification model based on multiple attention local binary patterns.

BMC medicine Jun 1, 2026
BACKGROUND: Electroencephalography (EEG) signals play a crucial role in understanding brain activity because they provide useful information about real emotions and intentions. Many machine learning models have been used for automatic EEG-based emoti... read more 

[From digitalization to embodied intelligence: technological innovation and paradigm shift in clinical stomatology].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jun 1, 2026
In the critical stage of digital and intelligent transformation of stomatology, artificial intelligence (AI) technology has shown significant advantages in diagnosis, treatment planning and other fields. However, limited by the nature of disembodied ... read more 

[A brief discussion on data-intelligent complete denture prosthesis].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jun 1, 2026
Complete denture prosthodontics, a core modality for the rehabilitation of edentulous patients, mainly includes implant-supported fixed prostheses and mucosa-supported removable prostheses. The clinical workflow is complex and places high demands on ... read more 

[Application of artificial intelligence in preoperative planning of dental implants: technical status, clinical validation and future prospects].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jun 1, 2026
Digital technology has become deeply integrated into oral implantology, driving a paradigm shift in clinical practice from"experience-driven"to"precision-guided". However, current digital planning workflows remain heavily reliant on physicians' perso... read more 

[Automatic micro-CT pulp cavity image segmentation based on few-shot transfer learning].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology Jun 1, 2026
Objective: To develop a micro-CT pulp cavity image segmentation model based on few-shot transfer learning, enabling efficient and accurate segmentation of the pulp cavity with limited training samples, thereby supporting three-dimensional(3D) anatomi... read more 

Radiomics-Based Machine Learning versus the MAP Score for Predicting Haematocrit Decline after Laparoscopic Partial Nephrectomy.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP Jun 1, 2026
OBJECTIVE: To evaluate and compare the ability of the Mayo Adhesive Probability (MAP) score and radiomics-based machine learning approaches to predict the degree of postoperative haematocrit (Hct) reduction using preoperative computed tomography (CT)... read more 

Building Machine Learning Model for Emotional Analysis of Twitter (X) Discourse during Flood Disasters: A Case Study of Chennai, India.

Disaster medicine and public health preparedness Jun 1, 2026
OBJECTIVE: The aim of this study is to develop disaster specific classification model specific to India, that extracts population emotional states during disasters from geo-referenced social media data. The developed model is also examined considerin... read more 
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