Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 241 to 250 of 156,985 articles
Microfluidic Biochip-Based Multiplexed Profiling of Small Extracellular Vesicles Proteins Integrated with Machine Learning for Early Disease Diagnosis.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Jul 7, 2025
Accurate early diagnosis is essential for preventing diseases and improving cure and survival rates. There are no reliable early-diagnosis biomarkers for most major diseases. Here, esophageal squamous cell carcinoma (ESCC) is used as a disease model ...
Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications
arXiv
Jul 7, 2025
Neurosymbolic AI (NSAI) has recently emerged to mitigate limitations
associated with deep learning (DL) models, e.g. quantifying their uncertainty
or reason with explicit rules. Hence, TinyML hardware will need to support
these symbolic models to b...
Efficient Unlearning with Privacy Guarantees
arXiv
Jul 7, 2025
Privacy protection laws, such as the GDPR, grant individuals the right to
request the forgetting of their personal data not only from databases but also
from machine learning (ML) models trained on them. Machine unlearning has
emerged as a practica...
Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration
arXiv
Jul 7, 2025
Historical documents represent an invaluable cultural heritage, yet have
undergone significant degradation over time through tears, water erosion, and
oxidation. Existing Historical Document Restoration (HDR) methods primarily
focus on single modal...
Multi-component metabolite electrochemical detection and analysis based on machine learning.
Analytical methods : advancing methods and applications
Jul 7, 2025
Metabolic molecules are highly correlated with various physiological indicators and diseases, so it is particularly important to monitor the levels of multiple metabolites in the body. Due to the similar electrochemical properties of uric acid (UA), ...
Learning With Self-Calibrator for Fast and Robust Low-Light Image Enhancement.
IEEE transactions on pattern analysis and machine intelligence
Jul 7, 2025
Convolutional Neural Networks (CNNs) have shown significant success in the low-light image enhancement task. However, most of existing works encounter challenges in balancing quality and efficiency simultaneously. This limitation hinders practical ap...
Prediction model of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery- XGBoost machine learning model can be interpreted based on SHAP.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Jul 7, 2025
Hear-Your-Click: Interactive Video-to-Audio Generation via Object-aware Contrastive Audio-Visual Fine-tuning
arXiv
Jul 7, 2025
Video-to-audio (V2A) generation shows great potential in fields such as film
production. Despite significant advances, current V2A methods, which rely on
global video information, struggle with complex scenes and often fail to
generate audio tailor...
Multilayer perceptron deep learning radiomics model based on Gd-BOPTA MRI to identify vessels encapsulating tumor clusters in hepatocellular carcinoma: a multi-center study.
Cancer imaging : the official publication of the International Cancer Imaging Society
Jul 7, 2025
OBJECTIVES: The purpose of this study is to mainly develop a predictive model based on clinicoradiological and radiomics features from preoperative gadobenate-enhanced (Gd-BOPTA) magnetic resonance imaging (MRI) using multilayer perceptron (MLP) deep...
A comparative approach of machine learning models to predict attrition in a diabetes management program.
PLOS digital health
Jul 7, 2025
Approximately 11.6% of Americans have diabetes and South Carolina has one of the highest rates of adults with diabetes. Diabetes self-management programs have been observed to be effective in promoting weight loss and improving diabetes knowledge and...
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