Artificial Intelligence Medical Compendium

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

Showing 25,511 to 25,520 of 217,759 articles

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection

arXiv Apr 27, 2026
Developing robust and clinically reliable EEG biomarkers requires evaluation frameworks that explicitly address cross population generalization in multi site settings such as Parkinsons disease (PD) detection. Models trained under i.i.d. assumptions ... read more 
Machine Learning eess.SP q-bio.NC

Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Unified and Generalized Approach

arXiv Apr 27, 2026
Blind omnidirectional image quality assessment (BOIQA) presents a great challenge to the visual quality assessment community, due to different storage formats and diverse user viewing behaviors. The main paradigm of BOIQA models includes two steps, i... read more 
Computer Vision and Pattern Recognition cs.AI

An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness

arXiv Apr 27, 2026
Artificial Intelligence and Machine Learning (AI/ML) models used in clinical settings are increasingly deployed to support clinical decision-making. However, when training data become stale due to changes in demographics, environment, or patient beha... read more 
Artificial Intelligence

Photon-controlled memristive synapses: recent progress toward brain-inspired neuromorphic computing.

Materials horizons Apr 27, 2026
As Moore's law approaches its limit, there is an urgent need for alternative computing architectures capable of meeting rapidly growing data-processing and memory demands. Photonic information processing, which utilizes photons instead of conventiona... read more 

Role of artificial intelligence augmented interventions in Rehabilitation: A scoping review.

Journal of bodywork and movement therapies Apr 27, 2026
BACKGROUND: World demographic patterns reveal that the percentage of older adults has been increasing at a rapid rate with a significant number of them being faced with chronic health problems and functional limitations. The development of artificial... read more 

Future Directions: Artificial Intelligence and Digital Tools in Bladder Cancer Care.

The Urologic clinics of North America Apr 27, 2026
This comprehensive review examines using artificial intelligence (AI) across the diagnostic, therapeutic, and prognostic landscape of bladder cancer. It highlights AI's capacity to enhance tumor detection, histopathologic interpretation, surgical pre... read more 

Personalizing anesthetic management in trauma patients using machine learning.

Current opinion in anaesthesiology Apr 27, 2026
PURPOSE OF THE REVIEW: Artificial intelligence in health is evolving rapidly, and there is a lot of hope that it may improve patient outcomes. The perioperative management of patients with major trauma is a challenge, as it requires rapid decision-ma... read more 

Beyond HLA-Ia: A multidimensional framework for Neoantigen immunotherapy.

Cellular immunology Apr 27, 2026
Glioblastoma (GBM) and other malignant gliomas are associated with aggressive progression, high recurrence rates, and poor long-term outcomes, while current standard therapies provide limited survival benefit. Neoantigen-based immunotherapy offers tu... read more 

Understanding the precipitation mechanism in pentavalent vanadium electrolytes through deep learning potential molecular dynamics.

Chemical science Apr 27, 2026
Vanadium flow batteries (VFBs) represent one of the promising options for large-scale energy storage, yet the precipitation of pentavalent (V(v)) species under elevated temperature and high state-of-charge severely limits energy density and cycle lif... read more 

Educational strategies in prenatal anomaly scanning: teaching, simulation and competence assessment.

European journal of obstetrics, gynecology, and reproductive biology Apr 27, 2026
INTRODUCTION: Prenatal anomaly scanning is a core component of obstetric care, yet remains highly operator-dependent. Variability in training contributes to inconsistent detection rates of fetal anomalies. Structured, multimodal educational strategie... read more 
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