Artificial Intelligence Medical Compendium

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

Showing 36,551 to 36,560 of 223,137 articles

Introduction to Focus Issue: Nonautonomous dynamical systems: Theory, methods, and applications.

Chaos (Woodbury, N.Y.) Apr 1, 2026
This Focus Issue forms one part (NDS-G) of the Double Focus Issue on nonautonomous dynamical systems in the sciences that was published together with a second Focus Issue on nonautonomous dynamical systems in climate (NDS-C). Nonlinear dynamics has a... read more 

Accelerated Aging and Aging Velocity from Deep Learning-based Chest Radiograph-derived Age for Predicting Cause-specific Mortality.

Radiology. Artificial intelligence Apr 1, 2026
Purpose To assess the prognostic value of deep learning-derived radiographic age and aging velocity for predicting mortality in an Asian cohort. Materials and Methods This retrospective cohort study included Korean adults who underwent posteroanterio... read more 

Modeling sperm whale seasonal dynamics using probabilistic machine learning of passive acoustic data.

JASA express letters Apr 1, 2026
Seasonal variability in sperm whale acoustic activity in the northern Gulf of Mexico remains poorly understood. Using two years of passive acoustic data, hourly click counts were analyzed to characterize seasonal patterns in whale presence and behavi... read more 

Multi-layer residual beamforming for underwater acoustic source bearing estimation.

JASA express letters Apr 1, 2026
Deconvolution beamforming maintains robustness against array mismatch and limited snapshots in underwater source localization, yet its resolution and accuracy require improvement. Inspired by deep learning architectures, this work proposes a multi-la... read more 

Follow-Up Bias in Tumor Dynamic Modeling: A Comparison of Classical and Neural-ODE Approaches.

CPT: pharmacometrics & systems pharmacology Apr 1, 2026
Tumor dynamic models are vital for evaluating oncology treatments and guiding clinical drug development decisions. However, few studies rigorously assess their predictive capabilities, especially when forecasting tumor trajectories from clinical tria... read more 

From Quantum Mechanics to Coarse-Grained Models: Bridging the Gap toward Polymer Rational Design.

Journal of chemical theory and computation Apr 1, 2026
In the rational design of novel polymers, the role of simulation methods based on classical physics is often hindered by the limited accuracy and transferability of the available models, at both the full-atomistic (FA) and coarse-grained (CG) level. ... read more 

Radiologic Error as an Emergent Property of Complex Adaptive Systems: Implications for Diagnostic Safety and Governance.

AJR. American journal of roentgenology Apr 1, 2026
Radiologic error remains an enduring challenge in diagnostic medicine. Despite study of radiologic error since the mid-twentieth century, interpretive discrepancy rates have remained remarkably stable across modalities, institutions, and technologic ... read more 

Comparing Accuracy Across Nonequivalent Protocol Spaces in Artificial Intelligence-Based CT and MRI Protocoling.

AJR. American journal of roentgenology Apr 1, 2026
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Detection of Interstitial Lung Abnormalities on Chest Radiographs: Diagnostic Performance of Radiologists and Artificial Intelligence.

AJR. American journal of roentgenology Apr 1, 2026
Background: Interstitial lung abnormalities (ILA) on chest CT are receiving growing attention given their association with progression to interstitial lung disease. Radiography's role in ILA detection is not well described. Objective: To evaluate the... read more 

Reply to "Comparing Accuracy Across Nonequivalent Protocol Spaces in Artificial Intelligence-Based CT and MRI Protocoling".

AJR. American journal of roentgenology Apr 1, 2026
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