Artificial Intelligence Medical Compendium

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

Showing 7,551 to 7,560 of 207,466 articles

[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 

Waterproof Pressure Sensor Leveraging Nano-/Microdeformation of Microstructure under Pressure for Collecting Wide-Range Human Physiological Signals Underwater Stably.

ACS sensors Jun 1, 2026
Underwater physical signal collection is crucial for helping athletes evaluate health and optimize training methods. However, it is difficult for existing underwater devices to simultaneously collect stable and accurate subtle pulse signals and large... read more 

Advancing Lithium-Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence-Driven Design Paradigms.

Advanced materials (Deerfield Beach, Fla.) Jun 1, 2026
Lithium-oxygen batteries (LOBs) are regarded as one of the most promising next-generation energy storage systems, owing to their exceptionally high theoretical energy density. However, their practical application remains severely hindered by sluggish... read more 

Packed by the Surface: Relating Surface Structure and Solvation Properties at Solid/Water Interfaces.

Journal of chemical theory and computation Jun 1, 2026
Our progress in interfacial chemistry has traditionally relied on understanding how surfaces interact directly with reactive species. However, a growing number of studies highlight an equally important, indirect role of surfaces: reshaping the local ... read more 

Integrated Network Pharmacology and Machine Learning to Reveal the Mechanisms of Schisandrin A Against Triple-Negative Breast Cancer.

Journal of cellular and molecular medicine Jun 1, 2026
This study aimed to elucidate the mechanism of action of Schisandrin A in the intervention of triple-negative breast cancer (TNBC). Through the application of network pharmacology and the integration of targets from multiple databases, the research i... read more 
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