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Patient safety / Risk Management

Latest AI and machine learning research in patient safety / risk management for healthcare professionals.

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Showing 358-378 of 7,464 articles
An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in dia...

Feb 2017 28269830
Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach.

BACKGROUND: Translational research is a key area of focus of the National Institutes of Health (NIH)...

Aug 2016 27492440
Efficient and Privacy-Preserving Online Medical Prediagnosis Framework Using Nonlinear SVM.

With the advances of machine learning algorithms and the pervasiveness of network terminals, the onl...

Mar 2016 28113828
Prediction of remission in obsessive compulsive disorder using a novel machine learning strategy.

The study objective was to apply machine learning methodologies to identify predictors of remission ...

May 2015 25994109
Learning Multiscale Active Facial Patches for Expression Analysis.

In this paper, we present a new idea to analyze facial expression by exploring some common and speci...

Sep 2014 25291808
Quantitative Evaluation of the Severity of Posttraumatic Stress Disorder through Transfer Learning from Specific Phobia Data

Posttraumatic stress disorder (PTSD) is a prevalent and debilitating mental health condition with si...

EmoTrack: Robust Depression Tracking from Counseling Transcripts across Session Regimes

Text-based counseling is an important interface for AI mental-health support, where transcripts may ...

What Does the Caption Really Say? Counterfactual Phrase Intervention for Compositional Data Selection in Vision-Language Pretraining

CLIP-style contrastive pretraining typically curates web-scale image-text pairs using sample-level f...

CRAFT: Clinical Reward-Aligned Finetuning for Medical Image Synthesis

Foundation diffusion models can generate photorealistic natural images, but adapting them to medical...

DDA-Thinker: Decoupled Dual-Atomic Reinforcement Learning for Reasoning-Driven Image Editing

Recent image editing models have achieved strong visual fidelity but often struggle with tasks requi...

Knowledge Visualization: A Benchmark and Method for Knowledge-Intensive Text-to-Image Generation

Recent text-to-image (T2I) models have demonstrated impressive capabilities in photorealistic synthe...

Coding-Free and Privacy-Preserving MCP Framework for Clinical Agentic Research Intelligence System

Clinical research involves labor-intensive processes such as study design, cohort construction, mode...

Visual Preference Optimization with Rubric Rewards

The effectiveness of Direct Preference Optimization (DPO) depends on preference data that reflect th...

Gym-Anything: Turn any Software into an Agent Environment

Computer-use agents hold the promise of assisting in a wide range of digital economic activities. Ho...

BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation

Recent advances in image generation models have expanded their applications beyond aesthetic imagery...

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling

In recent years, progress in medical informatics and machine learning has been accelerated by the av...

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