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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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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...

Clinician Experiences with Ambient AI Scribe Technology in Singapore: A Qualitative Study

Background: The administrative burden of clinical documentation is a recognised contributor to clini...

Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models

Vision-language process reward models (VL-PRMs) are increasingly used to score intermediate reasonin...

Quantifying Membership Disclosure Risk for Tabular Synthetic Data Using Kernel Density Estimators

The use of synthetic data has become increasingly popular as a privacy-preserving alternative to sha...

Peer Support in Online Discussions of Male Infertility: A Natural Language Processing Study of Reddit

Infertility generates profound psychological and social distress for both women and men, yet mens co...

Semantic Risk Scoring of Aggregated Metrics: An AI-Driven Approach for Healthcare Data Governance

Large healthcare institutions typically operate multiple business intelligence (BI) teams segmented ...

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