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Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

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Showing 1534-1554 of 5,424 articles
Generative AI avatar videos for tobacco prevention on social media: a randomized controlled trial

Short-form video platforms increasingly shape how young audiences encounter health information. Gene...

Enhancing Road Safety: An IoT-Based Accident Detection and Prevention Mechanism

Road traffic accidents remain a critical global crisis, consistently serving as a primary driver of ...

Validation of an Artificial Intelligence-Assisted Mobile Application for Dietary Oxalate Assessment in Kidney Stone Prevention

Background: Calcium oxalate nephrolithiasis is the most common type of kidney stone disease. Dietary...

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA

Multimodal Large Language Models (MLLMs) show great potential in medical tasks, but their elicited c...

Risk Stratification for ICU Delirium using Pervasive Ambient Sensing Information

Delirium is a common and serious complication in the Intensive Care Unit (ICU), associated with incr...

Evaluation of AI-Generated Synthetic Data for Clinical Research in Secondary Cardiovascular Prevention among Dyslipidemia Patients

BackgroundAccess to high-quality clinical data is essential for advancing medical research and devel...

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications

Conventional communication systems, including both separation-based coding and learning-based joint ...

BiXformer: A Bidirectional Cross Attention Transformer for Disentangling Inter-Regional Neural Dynamics

Advances in high-throughput neural recording technologies enable simultaneous measurement of activit...

Drawing with Strangers: Population Scaling Drives Zero-Shot Mutual Intelligibility in Emergent Sketching

Generalization in emergent communication has largely focused on novel inputs or linguistic structure...

Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation

Low-Rank Adaptation (LoRA) enables efficient federated fine-tuning of segmentation foundation models...

Prototyping a Generative AI-powered Person-centered Digital Health Tool to Mitigate Risk of Preventable Adverse Drug Events

Objectives: Older adults with comorbidities and polypharmacy have disproportionately high risk of ho...

Comfort with AI for HIV Prevention Among Cisgender Women in New York City

Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. Ho...

AI Adoption for NCDs in Kenya: A Qualitative Study

Background: Non-communicable diseases (NCDs) represent a critical public health challenge in Kenya, ...

Privacy-Preserving Screening for Record Linkage

In an era dominated by big data and machine learning, establishing valuable data collaboration has n...

ChronoMedicalWorld: A Medical World Model for Learning Patient Trajectories from Longitudinal Care Data

Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under s...

CUOREMA: Immersive Bio & Behavioral Feedback and Digital Interventions for Cardiac Rehabilitation - Exploratory Analysis

Cardiac rehabilitation is critical for secondary prevention, yet long-term adherence remains low. We...

LPH-VTON: Resolving the Structure-Texture Dilemma of Virtual Try-On via Latent Process Handover

Virtual Try-On (VTON) aims to synthesize photorealistic images of garments precisely aligned with a ...

Emergent Communication between Heterogeneous Visual Agents through Decentralized Learning

Symbols are shared, but perception is private. We study emergent communication between heterogeneous...

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning

The rapid development of low-altitude economy has driven the proliferation of Unmanned Aerial Vehicl...

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