Artificial Intelligence Medical Compendium

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

Showing 27,391 to 27,400 of 218,826 articles

Cluster dose prediction in carbon ion therapy: Using transfer learning from a pretrained dose prediction U-Net - A proof of concept.

Biomedical physics & engineering express
The cluster dose concept offers an alternative to the radiobiological effectiveness (RBE)based model for describing radiation-induced biological effects. This study examines the application of a neural network to predict cluster dose distributions, w... read more 

Multi-model study of fast VMAT segment dose calculation with deep learning.

Physics in medicine and biology
OBJECTIVE: Deep learning (DL) methods enable photon dose calculation under two main coordinate representations: Beam's Eye View (BEV) and patient coordinates. We evaluate dose calculation accuracy and speed under these coordinate paradigms and with r... read more 

Wave-reg: Full-stage wavelet-guided image registration framework with cross-scale correction.

Physics in medicine and biology
Complicated deformation remains a critical challenge in medical image registration. Although deep learning-based spatial domain registration networks have achieved improved accuracy and efficiency, they still suffer from irreversible information loss... read more 

A multimodal fusion network for heart sound abnormality detection and classification.

Physiological measurement
OBJECTIVE: Accurate physiological assessment of cardiac function from heart sounds remains challenging due to background noise, variable heart rates, and the need for reliable cardiac-cycle segmentation. This study aimed to develop a fully E2... read more 

Target-site Dynamics Explain a Large Share of Apparent MicroRNA Differential Expression.

RNA (New York, N.Y.)
MicroRNA (miRNA) abundance reflects a dynamic balance between biogenesis, target engagement, and decay, yet differential expression analyses typically ignore changes in target-site availability driven by alternative polyadenylation (APA). We introduc... read more 

Using Large Language Models to Identify Patient-Oncologist Communication Domains: A Feasibility Study.

Journal of palliative medicine
BACKGROUND: The American Society of Clinical Oncology (ASCO) convened a multidisciplinary panel in 2017, resulting in patient-oncologist communication guidelines. Ideally, these conversations should be documented in the medical records. However, char... read more 

Machine learning analysis of continuous glucose monitoring identifies a novel dysglycemic phenotype found in most people with cystic fibrosis.

Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society
BACKGROUND: Cystic fibrosis related diabetes (CFRD) is a common complication in people with cystic fibrosis (PwCF), yet traditional diagnostic tools such as fasting glucose, HbA1c, and the oral glucose tolerance test (OGTT) often fail to detect early... read more 

Updates on tuberculosis imaging.

Seminars in nuclear medicine
Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major diagnostic and therapeutic challenges persist despite advances in microbiologic and molecular testing. Over the past decade, molecular imaging, espec... read more 

Advances in molecular diagnostic strategies during the SARS-CoV-2 pandemic.

Expert review of molecular diagnostics
INTRODUCTION: The SARS-CoV-2 pandemic provided critical insights into pandemic preparedness. The community spread can be slowed down or contained through effective, rapid and robust diagnosis of infected individuals. AREA COVERED: During the pandemic... read more 

Fetal Fraction and Uterine Leiomyoma Volume: New Insights From Interpretable Modeling.

Prenatal diagnosis
OBJECTIVE: This study aims to develop a predictive model to estimate the likelihood of achieving a sufficient fetal fraction (FF) for non-invasive prenatal testing (NIPT) based on maternal characteristics such as age, body mass index (BMI), gestation... read more