Artificial Intelligence Medical Compendium

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

Showing 4,751 to 4,760 of 174,202 articles

[Minimally invasive liver surgery: current trends and future perspectives].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025
In recent years, the continuous optimization of minimally invasive surgical instruments and equipment for liver procedures, coupled with advancements in surgeons' technical expertise and theoretical frameworks, has propelled the personalized and prec... read more 

Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Aug 20, 2025
PURPOSE: Shear wave elastography (SWE) has been investigated as a complement to B-mode ultrasound for breast cancer diagnosis. Although multicenter trials suggest benefits for patients with Breast Imaging Reporting and Data System (BI-RADS) 4(a) brea... read more 

[Preoperative discrimination of colorectal mucinous adenocarcinoma using enhanced CT-based radiomics and deep learning fusion model].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025
To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods. This is a retrospective case series study. Clini... read more 

[Exploration of the application of artificial intelligence assisted bleeding point recognition in laparoscopic pancreatic surgery].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025
To explore the clinical application value of artificial intelligence models in identifying bleeding events and hemorrhagic points during laparoscopic pancreatic surgery. This single-center retrospective cohort study collected surgical videos of 25 ... read more 

Detecting Reading-Induced Confusion Using EEG and Eye Tracking

arXiv Aug 20, 2025
Humans regularly navigate an overwhelming amount of information via text media, whether reading articles, browsing social media, or interacting with chatbots. Confusion naturally arises when new information conflicts with or exceeds a reader's comp... read more 
Human-Computer Interaction Artificial Intelligence

A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation.

Scientific data Aug 20, 2025
Multi-modality magnetic resonance imaging(MRI) data facilitate the early diagnosis, tumor segmentation, and disease staging in the management of nasopharyngeal carcinoma (NPC). The lack of publicly available, comprehensive datasets limits advancement... read more 
Humans Magnetic Resonance Imaging Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms

Determination of miRNA in tear extracellular vesicles significantly associated with treatment-requiring retinopathy of prematurity: a pilot study.

Scientific reports Aug 20, 2025
Retinopathy of prematurity (ROP) develops in some premature infants and may be characterized by permanent severe retinal damage necessitating early detection and prompt treatment. The purpose of this study was to investigate whether specific miRNAs i... read more 
Humans Biomarkers Female Infant, Newborn Male Pilot Projects Extracellular Vesicles MicroRNAs Vascular Endothelial Growth Factor A Tears Infant, Premature Retinopathy of Prematurity

Correction: A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management.

Scientific reports Aug 20, 2025
read more 

A study on the effectiveness of machine learning models for hepatitis prediction.

Scientific reports Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ... read more 
Humans Neural Networks, Computer Machine Learning Algorithms Female Aged Adult Male Middle Aged Support Vector Machine Hepatitis

Assessment of the Accuracy of Modern Artificial Intelligence Chatbots in Responding to Endodontic Queries.

Australian endodontic journal : the journal of the Australian Society of Endodontology Inc Aug 20, 2025
This study aims to compare the accuracy of modern AI chatbots, including Gemini 1.5 Flash, Gemini 1.5 Pro, ChatGPT-3.5 and ChatGPT-4, in responding to endodontic questions and supporting clinicians. Forty yes/no questions covering 12 endodontic topic... read more 
Popular Topics
Recent Journals