Artificial Intelligence Medical Compendium

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

Showing 42,671 to 42,680 of 223,853 articles

Towards Trustworthy Selective Generation: Reliability-Guided Diffusion for Ultra-Low-Field to High-Field MRI Synthesis

arXiv
Low-field to high-field MRI synthesis has emerged as a cost-effective strategy to enhance image quality under hardware and acquisition constraints, particularly in scenarios where access to high-field scanners is limited or impractical. Despite recen... read more 

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles

arXiv
Large language models (LLMs) are increasingly applied to financial analysis, yet their ability to audit structured financial statements under explicit accounting principles remains poorly explored. Existing benchmarks primarily evaluate question answ... read more 

abx_amr_simulator: A simulation environment for antibiotic prescribing policy optimization under antimicrobial resistance

arXiv
Antimicrobial resistance (AMR) poses a global health threat, reducing the effectiveness of antibiotics and complicating clinical decision-making. To address this challenge, we introduce abx_amr_simulator, a Python-based simulation package designed to... read more 

Relaxed Efficient Acquisition of Context and Temporal Features

arXiv
In many biomedical applications, measurements are not freely available at inference time: each laboratory test, imaging modality, or assessment incurs financial cost, time burden, or patient risk. Longitudinal active feature acquisition (LAFA) seeks ... read more 

Ensuring Safety in Automated Mechanical Ventilation through Offline Reinforcement Learning and Digital Twin Verification

arXiv
Mechanical ventilation (MV) is a life-saving intervention for patients with acute respiratory failure (ARF) in the ICU. However, inappropriate ventilator settings could cause ventilator-induced lung injury (VILI). Also, clinicians workload is shown t... read more 

Causal inference in health services research: concepts, methods and application perspectives.

Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany))
Health services research faces the challenge of providing sound recommendations for action for the further development of health systems and care. The application of causal inference methods offers health services researchers an excellent opportunity... read more 

Evaluating the ability of generative AI to standardize TNM staging data in lung cancer.

Seminars in oncology
This study evaluates the ability of generative artificial intelligence (AI) models to standardize tumor-node-metastasis (TNM) staging data in lung cancer. It assesses how well two large language models, ChatGPT and Gemini, convert information from hi... read more 

Fingerprinting Fluorescent In Situ Hybridization Enables Multiplexed Identification of Pathogenic Bacteria.

ACS nano
Fluorescence in situ hybridization (FISH) is a highly specific technique for pathogenic bacteria detection that requires no culturing and provides simultaneous information on pathogenic bacteria abundance, morphology, and spatial localization. Howeve... read more 

Culture-Free Microfluidics for Ultra-Rapid Antimicrobial Susceptibility Testing with AI in Resource-Limited Settings.

Analytical chemistry
The misuse of antibiotics has accelerated the rise of antimicrobial resistance (AMR), particularly in resource-limited regions, posing a critical threat to global public health. Current antibiotic susceptibility test (AST) technologies are trapped in... read more