Artificial Intelligence Medical Compendium

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

Showing 2,711 to 2,720 of 167,235 articles

Accurate and Interpretable Postmenstrual Age Prediction via Multimodal Large Language Model

arXiv Aug 4, 2025
Accurate estimation of postmenstrual age (PMA) at scan is crucial for assessing neonatal development and health. While deep learning models have achieved high accuracy in predicting PMA from brain MRI, they often function as black boxes, offering l... read more 
Artificial Intelligence

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Endocrinology and metabolism (Seoul, Korea) Aug 4, 2025
Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional fracture risk assessment methods. Conventional approaches, such as bone mineral density measurement and established clinical risk calculators, provide ... read more 

ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space

arXiv Aug 4, 2025
Generative modeling of high-frequency limit order book (LOB) dynamics is a critical yet unsolved challenge in quantitative finance, essential for robust market simulation and strategy backtesting. Existing approaches are often constrained by simpli... read more 
Computational Finance Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning Trading and Market Microstructure

mCardiacDx: Radar-Driven Contactless Monitoring and Diagnosis of Arrhythmia

arXiv Aug 4, 2025
Arrhythmia is a common cardiac condition that can precipitate severe complications without timely intervention. While continuous monitoring is essential for timely diagnosis, conventional approaches such as electrocardiogram and wearable devices ar... read more 
Human-Computer Interaction Machine Learning 92C55 68T07

Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features.

BMC medical imaging Aug 4, 2025
BACKGROUND AND OBJECTIVE: Adrenal incidentalomas (AIs) are predominantly adrenal adenomas (80%), with a smaller proportion (7%) being pheochromocytomas(PHEO). Adenomas are typically non-functional tumors managed through observation or medication, wit... read more 
Retrospective Studies Adult Male Diagnosis, Differential Tomography, X-Ray Computed Humans Adrenal Gland Neoplasms Middle Aged Radiomics Female Pheochromocytoma Nomograms Aged Adenoma

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BMC geriatrics Aug 4, 2025
BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose of this study was to screen for risk factors for 60-day sepsis morbidity after hip fracture and to establish a predictive model using various machine ... read more 
Aged Aged, 80 and over Female Risk Factors Sepsis Cohort Studies Male Risk Assessment Humans Machine Learning Algorithms Hip Fractures Time Factors Morbidity

AI-Driven Integration of Deep Learning with Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction: Progress and Perspectives.

JMIR medical informatics Aug 4, 2025
This Perspective article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning (DL) with multimodal clinical data, including lung imaging, pulmonary function te... read more 

"Set It Up": Functional Object Arrangement with Compositional Generative Models

arXiv Aug 4, 2025
Functional object arrangement (FORM) is the task of arranging objects to fulfill a function, e.g., "set up a dining table for two". One key challenge here is that the instructions for FORM are often under-specified and do not explicitly specify the... read more 
Robotics

Clinical Expert Uncertainty Guided Generalized Label Smoothing for Medical Noisy Label Learning

arXiv Aug 4, 2025
Many previous studies have proposed extracting image labels from clinical notes to create large-scale medical image datasets at a low cost. However, these approaches inherently suffer from label noise due to uncertainty from the clinical experts. W... read more 
Machine Learning Computer Vision and Pattern Recognition

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines.

Nature methods Aug 4, 2025
Recent research in deep-learning-based foundation models promises to learn representations of single-cell data that enable prediction of the effects of genetic perturbations. Here we compared five foundation models and two other deep learning models ... read more 
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