Artificial Intelligence Medical Compendium

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

Showing 57,551 to 57,560 of 227,388 articles

AI-driven low-cost rehabilitation exergame as a lightweight framework for stroke assessment.

NPJ digital medicine
Stroke is a leading cause of long-term disability, often affecting upper-limb motor function and requiring continuous assessment. The Fugl-Meyer Assessment (FMA), though a clinical gold standard, is time-consuming and demands specialized personnel. T... read more 

The role of brain health and resilience in reshaping trajectories of late-life neuropsychiatric disorders.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Global population aging and increased chronic stress due to numerous mass disasters including those related to pandemics, climate change, war, displacement, and political unrest all challenge our collective resilience, with a growing burden of late-l... read more 

Artificial Intelligence-Based Multi-Stage System for Automated Angle's Classification of Malocclusion from Intraoral Images in Orthodontics.

Journal of imaging informatics in medicine
This study presents a multi-stage deep learning pipeline for automated Angle's classification of occlusion using intraoral images in orthodontics. The pipeline integrates three key stages: (1) a binary Occlusion Side Classifier (OSC) to determine whe... read more 

Variability Regularized Feature Selection (VaRFS) for optimal identification of robust and discriminable features from medical imaging.

Npj imaging
Computerized features derived from medical imaging have shown great potential in building machine learning models for predicting and prognosticating disease outcomes. However, the performance of such models depends on the robustness of extracted feat... read more 

A comprehensive multi-task deep learning model for kidney cancer: histological subtyping, clinical staging, and anatomical complexity grading.

European radiology
OBJECTIVES: To develop and validate a multi-task deep learning (MTDL) model using multiphase contrast-enhanced CT (CECT) for simultaneously assessing histological subtypes, clinical stages, and anatomical complexity grades of solid malignant renal tu... read more 

Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation.

European radiology
OBJECTIVE: To evaluate the diagnostic performance of semi-supervised learning models for aggressive prostate cancer detection on MRI compared to fully supervised models trained with additional expert annotations. MATERIALS AND METHODS: We used 1500 M... read more 

AI-Guided Conformational Dynamics of p53 L1 Loop Reveal an Allosteric Switch Regulating DNA Binding and Cancer Hotspots.

Journal of chemical information and modeling
The tumor suppressor p53 regulates transcription in response to cellular stress, with mutations in its DNA-binding domain (DBD) found in most human cancers. The L1 loop within the DBD is believed to play a critical role in DNA recognition, yet its co... read more 

Data-Integrated Elucidation of Structure-Activity Relationships toward the Rational Design of Perfluoroiodoarene-Based Halogen-Bond Donor Catalysts.

The Journal of organic chemistry
Understanding and predicting catalyst performance from structural and electronic information remains a central challenge in organocatalysis. Here, we present a data-integrated framework that quantitatively combines experimental, computational, and ma... read more 

Graph Neural Networks for Polymer Characterization and Property Prediction: Opportunities and Challenges.

Journal of chemical information and modeling
Using machine learning to accelerate the characterization and prediction of properties of many-molecule systems, such as polymers, is appealing, yet challenging. Polymers are large, complex molecules that have unique properties and potential applicat... read more