Artificial Intelligence Medical Compendium

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

Showing 2,661 to 2,670 of 167,235 articles

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

Microfluidics for geosciences: metrological developments and future challenges.

Lab on a chip Aug 4, 2025
This review addresses the main metrological developments over the past decade for microfluidics applied to geosciences. Microfluidic experiments for geosciences seek to decipher the complex interplay between coupled, multiphase, and reactive processe... read more 

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 
Adult Radiomics Male Tomography, X-Ray Computed Female Humans Aged Retrospective Studies Diagnosis, Differential Middle Aged Adrenal Gland Neoplasms Nomograms Pheochromocytoma Adenoma

TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs

arXiv Aug 4, 2025
Token-level code completion is one of the most critical features in modern Integrated Development Environments (IDEs). It assists developers by suggesting relevant identifiers and APIs during coding. While completions are typically derived from sta... read more 
Software Engineering Artificial Intelligence Information Retrieval

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS).

Diagnostic and prognostic research Aug 4, 2025
BACKGROUND: Prediction of postoperative patient-reported outcomes and risk for revision surgery after total hip arthroplasty (THA) or total knee arthroplasty (TKA) can inform clinical decision-making, health resource allocation, and care planning. Ma... read more 

Artificial intelligence-based donor oocyte quality assessment moderately improves the prediction of blastocyst development: a first step towards higher personalization in the management of egg donation treatments.

Human reproduction (Oxford, England) Aug 4, 2025
STUDY QUESTION: Can an artificial intelligence (AI)-based oocyte scoring system reliably predict the developmental competence of fresh donor oocytes? read more 

Diagnostic Performance of Imaging-Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node-Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis.

Head & neck Aug 4, 2025
PURPOSE: This systematic review and meta-analysis evaluated the performance of imaging-based artificial intelligence (AI) models in diagnosing preoperative cervical lymph node metastasis (LNM) in clinically node-negative (cN0) papillary thyroid carci... read more 

Reservoir Computing with Evolved Critical Neural Cellular Automata

arXiv Aug 4, 2025
Criticality is a behavioral state in dynamical systems that is known to present the highest computation capabilities, i.e., information transmission, storage, and modification. Therefore, such systems are ideal candidates as a substrate for reservo... read more 
Neural and Evolutionary Computing 68T01 I.2.11

Uncertainty Estimation for Novel Views in Gaussian Splatting from Primitive-Based Representations of Error and Visibility

arXiv Aug 4, 2025
In this work, we present a novel method for uncertainty estimation (UE) in Gaussian Splatting. UE is crucial for using Gaussian Splatting in critical applications such as robotics and medicine. Previous methods typically estimate the variance of Ga... read more 
Graphics Computer Vision and Pattern Recognition

Quantum Machine Learning-based Test Oracle for Autonomous Mobile Robots

arXiv Aug 4, 2025
Robots are increasingly becoming part of our daily lives, interacting with both the environment and humans to perform their tasks. The software of such robots often undergoes upgrades, for example, to add new functionalities, fix bugs, or delete ob... read more 
Software Engineering
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