Artificial Intelligence Medical Compendium

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

Showing 33,761 to 33,770 of 221,422 articles

Auditing Demographic Bias in Facial Landmark Detection for Fair Human-Robot Interaction

arXiv
Fairness in human-robot interaction critically depends on the reliability of the perceptual models that enable robots to interpret human behavior. While demographic biases have been widely studied in high-level facial analysis tasks, their presence i... read more 

MAR-GRPO: Stabilized GRPO for AR-diffusion Hybrid Image Generation

arXiv
Reinforcement learning (RL) has been successfully applied to autoregressive (AR) and diffusion models. However, extending RL to hybrid AR-diffusion frameworks remains challenging due to interleaved inference and noisy log-probability estimation. In t... read more 

Frailty Estimation in Elderly Oncology Patients Using Multimodal Wearable Data and Multi-Instance Learning

arXiv
Frailty and functional decline strongly influence treatment tolerance and outcomes in older patients with cancer, yet assessment is typically limited to infrequent clinic visits. We propose a multimodal wearable framework to estimate frailty-related ... read more 

Generative Phomosaic with Structure-Aligned and Personalized Diffusion

arXiv
We present the first generative approach to photomosaic creation. Traditional photomosaic methods rely on a large number of tile images and color-based matching, which limits both diversity and structural consistency. Our generative photomosaic frame... read more 

Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning

arXiv
Psychological stress is clinically relevant in cardio-oncology, yet it is typically assessed only through patient-reported outcome measures (PROMs) and is rarely integrated into continuous cardiotoxicity surveillance. We estimate perceived stress in ... read more 

IQ-LUT: interpolated and quantized LUT for efficient image super-resolution

arXiv
Lookup table (LUT) methods demonstrate considerable potential in accelerating image super-resolution inference. However, pursuing higher image quality through larger receptive fields and bit-depth triggers exponential growth in the LUT's index space,... read more 

CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging

arXiv
Ensuring fairness in machine learning predictions is a critical challenge, especially when models are deployed in sensitive domains such as credit scoring, healthcare, and criminal justice. While many fairness interventions rely on data preprocessing... read more 

Synthetic Dataset Generation for Partially Observed Indoor Objects

arXiv
Learning-based methods for 3D scene reconstruction and object completion require large datasets containing partial scans paired with complete ground-truth geometry. However, acquiring such datasets using real-world scanning systems is costly and time... read more 

QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks

arXiv
Designing quantum neural networks (QNNs) that are both accurate and deployable on NISQ hardware is challenging. Handcrafted ansatze must balance expressivity, trainability, and resource use, while limited qubits often necessitate circuit cutting. Exi... read more 

The ethical integration of generative artificial intelligence in Doctor of Nursing Practice project planning: A formative approach.

Journal of professional nursing : official journal of the American Association of Colleges of Nursing
BACKGROUND/INTRODUCTION: Variability in student and faculty experiences with quality improvement and system change at an Upper Midwestern university led to inconsistent planning of doctor of nursing practice (DNP) projects. PURPOSE AND SIGNIFICANCE: ... read more