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Showing 1807-1827 of 4,576 articles

Knowledge Transfer from LLMs to Provenance Analysis: A Semantic-Augmented Method for APT Detection

Advanced Persistent Threats (APTs) have caused significant losses across a wide range of sectors, ...

Mar 2025 http://arxiv.org/abs/2503.18316v2

Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA

To improve the reliability of Large Language Models (LLMs) in clinical applications, retrieval-aug...

Mar 2025 http://arxiv.org/abs/2503.17933v1

MedPlan:A Two-Stage RAG-Based System for Personalized Medical Plan Generation

Despite recent success in applying large language models (LLMs) to electronic health records (EHR)...

Mar 2025 http://arxiv.org/abs/2503.17900v2

Launching Insights: A Pilot Study on Leveraging Real-World Observational Data from the Mayo Clinic Platform to Advance Clinical Research

Backgrounds: Artificial intelligence (AI) is transforming healthcare, yet translating AI models fr...

Mar 2025 http://arxiv.org/abs/2504.16090v1

Follow-up Question Generation For Enhanced Patient-Provider Conversations

Follow-up question generation is an essential feature of dialogue systems as it can reduce convers...

Mar 2025 http://arxiv.org/abs/2503.17509v1

Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection.

BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and re...

Mar 2025 40124266

Investigating The Implications of Cyberattacks Against Precision Agricultural Equipment

As various technologies are integrated and implemented into the food and agricultural industry, it...

Mar 2025 http://arxiv.org/abs/2503.16283v1

Cyber Threats in Financial Transactions -- Addressing the Dual Challenge of AI and Quantum Computing

The financial sector faces escalating cyber threats amplified by artificial intelligence (AI) and ...

Mar 2025 http://arxiv.org/abs/2503.15678v1

Real-world validation of a multimodal LLM-powered pipeline for High-Accuracy Clinical Trial Patient Matching leveraging EHR data

Background: Patient recruitment in clinical trials is hindered by complex eligibility criteria and...

Mar 2025 http://arxiv.org/abs/2503.15374v1

Knowledge Distillation: Enhancing Neural Network Compression with Integrated Gradients

Efficient deployment of deep neural networks on resource-constrained devices demands advanced comp...

Mar 2025 http://arxiv.org/abs/2503.13008v1

Cancermorphic Computing Toward Multilevel Machine Intelligence

Despite their potential to address crucial bottlenecks in computing architectures and contribute t...

Mar 2025 http://arxiv.org/abs/2503.12743v1

A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study

We developed and validated TRisk, a Transformer-based AI model predicting 36-month mortality in he...

Mar 2025 http://arxiv.org/abs/2503.12317v1

E-SAM: Training-Free Segment Every Entity Model

Entity Segmentation (ES) aims at identifying and segmenting distinct entities within an image with...

Mar 2025 http://arxiv.org/abs/2503.12094v1

Unlocking Health Insights with SDoH Data: A Comprehensive Open-Access Database and SDoH-EHR Linkage Tool

Background: Social determinants of health (SDoH) play a crucial role in influencing health outcome...

Mar 2025 http://arxiv.org/abs/2503.19928v1

A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1

Despite promising performance on open-source large vision-language models (LVLMs), transfer-based ...

Mar 2025 http://arxiv.org/abs/2503.10635v1

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework

Data-driven AI is establishing itself at the center of evidence-based medicine. However, reports o...

Mar 2025 http://arxiv.org/abs/2503.09969v1

Developing and Evaluating an AI-Assisted Prediction Model for Unplanned Intensive Care Admissions following Elective Neurosurgery using Natural Language Processing within an Electronic Healthcare Record System

Introduction: Timely care in a specialised neuro-intensive therapy unit (ITU) reduces mortality an...

Mar 2025 http://arxiv.org/abs/2503.09927v1

Detecting and Preventing Data Poisoning Attacks on AI Models

This paper investigates the critical issue of data poisoning attacks on AI models, a growing conce...

Mar 2025 http://arxiv.org/abs/2503.09302v1

Antibiotic Resistance Microbiology Dataset (ARMD): A De-identified Resource for Studying Antimicrobial Resistance Using Electronic Health Records

The Antibiotic Resistance Microbiology Dataset (ARMD) is a de-identified resource derived from ele...

Mar 2025 http://arxiv.org/abs/2503.07664v1

Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records

Longitudinal data in electronic health records (EHRs) represent an individual`s clinical history t...

Mar 2025 http://arxiv.org/abs/2503.05893v1

TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records

Large language models (LLMs) have emerged as promising tools for assisting in medical tasks, yet p...

Mar 2025 http://arxiv.org/abs/2503.04176v1