Artificial Intelligence Medical Compendium

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

Showing 4,811 to 4,820 of 174,202 articles

Leveraging Hardware-Aware Computation in Mixed-Precision Matrix Multiply: A Tile-Centric Approach

arXiv Aug 20, 2025
General Matrix Multiplication (GEMM) is a critical operation underpinning a wide range of applications in high-performance computing (HPC) and artificial intelligence (AI). The emergence of hardware optimized for low-precision arithmetic necessitat... read more 
Distributed, Parallel, and Cluster Computing

Source-Guided Flow Matching

arXiv Aug 20, 2025
Guidance of generative models is typically achieved by modifying the probability flow vector field through the addition of a guidance field. In this paper, we instead propose the Source-Guided Flow Matching (SGFM) framework, which modifies the sour... read more 
Machine Learning

CTA-Flux: Integrating Chinese Cultural Semantics into High-Quality English Text-to-Image Communities

arXiv Aug 20, 2025
We proposed the Chinese Text Adapter-Flux (CTA-Flux). An adaptation method fits the Chinese text inputs to Flux, a powerful text-to-image (TTI) generative model initially trained on the English corpus. Despite the notable image generation ability c... read more 
Computer Vision and Pattern Recognition

Criteria-calibration approaches to deep learning-based cervical cancer radiation treatment auto-planning.

Radiation oncology (London, England) Aug 20, 2025
BACKGROUND: Knowledge-Based Planning (KBP) pipelines, which integrate machine learning-based models to predict dose distribution, have gained popularity in clinical radiation therapy. However, for patients with specific requirements, the trained mode... read more 
Radiotherapy, Intensity-Modulated Female Humans Uterine Cervical Neoplasms Radiotherapy Planning, Computer-Assisted Calibration Radiotherapy Dosage Deep Learning Retrospective Studies

From Slices to Structures: Unsupervised 3D Reconstruction of Female Pelvic Anatomy from Freehand Transvaginal Ultrasound

arXiv Aug 20, 2025
Volumetric ultrasound has the potential to significantly improve diagnostic accuracy and clinical decision-making, yet its widespread adoption remains limited by dependence on specialized hardware and restrictive acquisition protocols. In this work... read more 
Image and Video Processing Computer Vision and Pattern Recognition

ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine

arXiv Aug 20, 2025
Despite the success of large language models (LLMs) in various domains, their potential in Traditional Chinese Medicine (TCM) remains largely underexplored due to two critical barriers: (1) the scarcity of high-quality TCM data and (2) the inherent... read more 
Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Multimedia

Differentiation of Suspicious Microcalcifications Using Deep Learning: DCIS or IDC.

Academic radiology Aug 20, 2025
RATIONALE AND OBJECTIVES: To explore the value of a deep learning-based model in distinguishing between ductal carcinoma in situ (DCIS) and invasive ductal carcinoma (IDC) manifesting suspicious microcalcifications on mammography. read more 

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles

arXiv Aug 20, 2025
The generation of safety-critical scenarios in simulation has become increasingly crucial for safety evaluation in autonomous vehicles prior to road deployment in society. However, current approaches largely rely on predefined threat patterns or ru... read more 
Computer Vision and Pattern Recognition

On the notion of missingness for path attribution explainability methods in medical settings: Guiding the selection of medically meaningful baselines

arXiv Aug 20, 2025
The explainability of deep learning models remains a significant challenge, particularly in the medical domain where interpretable outputs are critical for clinical trust and transparency. Path attribution methods such as Integrated Gradients rely ... read more 
Machine Learning

Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients.

Scientific data Aug 20, 2025
Chronic knee osteoarthritis pain significantly impacts patients' quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb condition... read more 
Algorithms Brain-Computer Interfaces Humans Deep Learning Osteoarthritis, Knee Male Imagery, Psychotherapy Lower Extremity Middle Aged Electroencephalography
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