Devices and Vaccines

Latest AI and machine learning research in devices and vaccines for healthcare professionals.

4,651 articles

Product-Alert Subcategories: Devices and Vaccines Prescriptions

Showing 1744-1764 of 4,651 articles

Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection

Personalization of Large Language Models (LLMs) is important in practical applications to accommod...

Apr 2025 http://arxiv.org/abs/2504.13938v1

Respiratory Inhaler Sound Event Classification Using Self-Supervised Learning

Asthma is a chronic respiratory condition that affects millions of people worldwide. While this co...

Apr 2025 http://arxiv.org/abs/2504.11246v1

Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance

Small language models (SLMs) support efficient deployments on resource-constrained edge devices, b...

Apr 2025 http://arxiv.org/abs/2504.11197v2

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

The fusion of Large Language Models (LLMs) with recommender systems (RecSys) has dramatically adva...

Apr 2025 http://arxiv.org/abs/2504.11182v1

Graph-Based Prediction Models for Data Debiasing

Bias in data collection, arising from both under-reporting and over-reporting, poses significant c...

Apr 2025 http://arxiv.org/abs/2504.09348v2

Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare

Generative agents have been increasingly used to simulate human behaviour in silico, driven by lar...

Apr 2025 http://arxiv.org/abs/2504.08260v2

Automated identification of fall-related injuries in unstructured clinical notes.

Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identif...

Apr 2025 39060160

Evaluating the Impact of the EU AI Act on Medical Device Regulation.

Artificial Intelligence (AI) is increasingly incorporated into medical devices, revolutionizing diag...

Apr 2025 40200442

Evaluation of the Performance of a Large Language Model to Extract Signs and Symptoms from Clinical Notes.

Large language models (LLMs) have increasingly been used to extract critical information from unstru...

Apr 2025 40200448

Inter-event Interval Microscopy for Event Cameras

Event cameras, an innovative bio-inspired sensor, differ from traditional cameras by sensing chang...

Apr 2025 http://arxiv.org/abs/2504.04924v3

Enhancing Leaf Disease Classification Using GAT-GCN Hybrid Model

Agriculture plays a critical role in the global economy, providing livelihoods and ensuring food s...

Apr 2025 http://arxiv.org/abs/2504.04764v1

Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models

Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, i...

Apr 2025 http://arxiv.org/abs/2504.03051v1

Sim-is-More: Randomizing HW-NAS with Synthetic Devices

Existing hardware-aware NAS (HW-NAS) methods typically assume access to precise information circa ...

Apr 2025 http://arxiv.org/abs/2504.00663v1

A Scalable Predictive Modelling Approach to Identifying Duplicate Adverse Event Reports for Drugs and Vaccines

The practice of pharmacovigilance relies on large databases of individual case safety reports to d...

Mar 2025 http://arxiv.org/abs/2504.03729v1

RECALL-MM: A Multimodal Dataset of Consumer Product Recalls for Risk Analysis using Computational Methods and Large Language Models

Product recalls provide valuable insights into potential risks and hazards within the engineering ...

Mar 2025 http://arxiv.org/abs/2503.23213v1

SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices

Fine-tuning large language models (LLMs) on private, on-device data can empower tailored personali...

Mar 2025 http://arxiv.org/abs/2503.18986v1

Product Alert