Artificial Intelligence Medical Compendium

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

Showing 42,281 to 42,290 of 223,853 articles

Managing Cognitive Bias in Human Labeling Operations for Rare-Event AI: Evidence from a Field Experiment

arXiv
Many operational AI systems depend on large-scale human annotation to detect rare but consequential events (e.g., fraud, defects, and medical abnormalities). When positives are rare, the prevalence effect induces systematic cognitive biases that infl... read more 

Prediction of Grade, Gender, and Academic Performance of Children and Teenagers from Handwriting Using the Sigma-Lognormal Model

arXiv
Digital handwriting acquisition enables the capture of detailed temporal and kinematic signals reflecting the motor processes underlying writing behavior. While handwriting analysis has been extensively explored in clinical or adult populations, its ... read more 

FBCIR: Balancing Cross-Modal Focuses in Composed Image Retrieval

arXiv
Composed image retrieval (CIR) requires multi-modal models to jointly reason over visual content and semantic modifications presented in text-image input pairs. While current CIR models achieve strong performance on common benchmark cases, their accu... read more 

Quantum mechanical framework for quantization-based optimization: from Gradient flow to Schroedinger equation

arXiv
This work presents a quantum mechanical framework for analyzing quantization-based optimization algorithms. The sampling process of the quantization-based search is modeled as a gradient-flow dissipative system, leading to a Hamilton-Jacobi-Bellman (... read more 

One Supervisor, Many Modalities: Adaptive Tool Orchestration for Autonomous Queries

arXiv
We present an agentic AI framework for autonomous multimodal query processing that coordinates specialized tools across text, image, audio, video, and document modalities. A central Supervisor dynamically decomposes user queries, delegates subtasks t... read more 

One Supervisor, Many Modalities: Adaptive Tool Orchestration for Autonomous Queries

arXiv
We present an agentic AI framework for autonomous multimodal query processing that coordinates specialized tools across text, image, audio, video, and document modalities. A central Supervisor dynamically decomposes user queries, delegates subtasks t... read more 

PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation

arXiv
Ambiguous Medical Image Segmentation (AMIS) is significant to address the challenges of inherent uncertainties from image ambiguities, noise, and subjective annotations. Existing conditional variational autoencoder (cVAE)-based methods effectively ca... read more 

PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation

arXiv
Ambiguous Medical Image Segmentation (AMIS) is significant to address the challenges of inherent uncertainties from image ambiguities, noise, and subjective annotations. Existing conditional variational autoencoder (cVAE)-based methods effectively ca... read more 

Shadowless Projection Mapping for Tabletop Workspaces with Synthetic Aperture Projector

arXiv
Projection mapping (PM) enables augmented reality (AR) experiences without requiring users to wear head-mounted displays and supports multi-user interaction. It is regarded as a promising technology for a variety of applications in which users intera... read more 

Enhancing Image Aesthetics with Dual-Conditioned Diffusion Models Guided by Multimodal Perception

arXiv
Image aesthetic enhancement aims to perceive aesthetic deficiencies in images and perform corresponding editing operations, which is highly challenging and requires the model to possess creativity and aesthetic perception capabilities. Although recen... read more