Artificial Intelligence Medical Compendium

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

Showing 771 to 780 of 6,689 articles

Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer.

Scientific reports Jul 4, 2025
Deep learning has been used for automatic planning of radiotherapy targets, such as inferring the clinical target volume (CTV) for a given new patient. However, previous deep learning methods mainly focus on predicting CTV from CT images without cons... read more 
Radiotherapy Planning, Computer-Assisted Female Psoas Muscles Uterine Cervical Neoplasms Deep Learning Organs at Risk Humans Tomography, X-Ray Computed

Enhancing smart city sustainability with explainable federated learning for vehicular energy control.

Scientific reports Jul 4, 2025
The rise of electric and autonomous vehicles in smart cities poses challenges in vehicular energy management due to un-optimized consumption, inefficient grid use, and unpredictable traffic patterns. Traditional centralized machine learning models an... read more 

Integrating AI predictive analytics with naturopathic and yoga-based interventions in a data-driven preventive model to improve maternal mental health and pregnancy outcomes.

Scientific reports Jul 4, 2025
Maternal mental health during pregnancy is a crucial area of research due to its profound impact on both maternal and child well-being. This paper proposes a comprehensive approach to predicting and monitoring psychological health risks in pregnant w... read more 
Adult Mental Health Female Young Adult Maternal Health Bayes Theorem Yoga Pregnancy Outcome Support Vector Machine Machine Learning Pregnancy Humans

Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning.

Scientific reports Jul 4, 2025
In Unmanned Aerial Vehicle (UAV) networks, multi-class aerial image classification (AIC) is crucial in various applications, from environmental monitoring to infrastructure inspection. Deep Learning (DL), a powerful tool in artificial intelligence (A... read more 

A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs.

Scientific reports Jul 4, 2025
Rheumatoid arthritis (RA) is a chronic autoimmune disease affecting millions worldwide, leading to inflammation, joint damage, and reduced quality of life. Although biological disease-modifying antirheumatic drugs (bDMARDs) are effective, they are co... read more 
Arthritis, Rheumatoid Treatment Outcome Remission Induction Antirheumatic Agents Support Vector Machine Middle Aged Risk Assessment Adult Male Humans Female Aged Machine Learning

Neural network assisted annotation and analysis tool to study in-vivo foveolar cone photoreceptor topography.

Scientific reports Jul 4, 2025
The foveola, the central region of the human retina, plays a crucial role in sharp color vision and is challenging to study due to its unique anatomy and technical limitations in imaging. We present ConeMapper, an open-source MATLAB software that int... read more 
Retinal Cone Photoreceptor Cells Fovea Centralis Image Processing, Computer-Assisted Ophthalmoscopy Humans Neural Networks, Computer Software

Leveraging pathological markers of lower grade glioma to predict the occurrence of secondary epilepsy, a retrospective study.

Scientific reports Jul 4, 2025
Epilepsy is a common manifestation in patients with lower grade glioma (LGG), often presenting as the initial symptom in approximately 70% of cases. This study aimed to identify clinical and pathological markers for epileptic seizures in patients wit... read more 
Retrospective Studies Female Humans Machine Learning Adult Biomarkers, Tumor Brain Neoplasms Risk Factors Aged Epilepsy Neoplasm Grading ROC Curve Glioma Male Middle Aged

Intelligent brain tumor detection using hybrid finetuned deep transfer features and ensemble machine learning algorithms.

Scientific reports Jul 4, 2025
Brain tumours (BTs) are severe neurological disorders. They affect more than 308,000 people each year worldwide. The mortality rate is over 251,000 deaths annually (IARC, 2020 reports). Detecting BTs is complex because they vary in nature. Early diag... read more 
Neural Networks, Computer Machine Learning Humans Magnetic Resonance Imaging Deep Learning Algorithms Support Vector Machine Brain Neoplasms

A hybrid self attentive linearized phrase structured transformer based RNN for financial sentence analysis with sentence level explainability.

Scientific reports Jul 4, 2025
As financial institutions want openness and accountability in their automated systems, the task of understanding model choices has become more crucial in the field of financial text analysis. In this study, we propose xFiTRNN, a hybrid model that int... read more 

Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.

Scientific reports Jul 4, 2025
The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), has underscored the need to understand the virus's evolution due to its global health impact. This study employed RNA sequencing (RNA-Seq) to analyze g... read more 
Transcriptome SARS-CoV-2 Evolution, Molecular Sequence Analysis, RNA Gene Expression Profiling RNA, Viral Humans COVID-19
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