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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 421-441 of 7,464 articles
Capybara-OMNI: An Efficient Paradigm for Building Omni-Modal Language Models

With the development of Multimodal Large Language Models (MLLMs), numerous outstanding accomplishm...

Unmasking the Reality of PII Masking Models: Performance Gaps and the Call for Accountability

Privacy Masking is a critical concept under data privacy involving anonymization and de-anonymizat...

Requirements for AI Development and Reporting for MRI Prostate Cancer Detection in Biopsy-Naive Men: PI-RADS Steering Committee, Version 1.0.

This document defines the key considerations for developing and reporting an artificial intelligence...

Apr 2025 40232134
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?

It is commonly accepted that clinicians are ethically obligated to disclose their use of medical m...

HH4AI: A methodological Framework for AI Human Rights impact assessment under the EUAI ACT

This paper introduces the HH4AI Methodology, a structured approach to assessing the impact of AI s...

Accessibility Considerations in the Development of an AI Action Plan

We argue that there is a need for Accessibility to be represented in several important domains: ...

Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models

Chain-of-Thought (CoT) reasoning enhances large language models (LLMs) by decomposing complex prob...

Honey Trap or Romantic Utopia: A Case Study of Final Fantasy XIV Players PII Disclosure in Intimate Partner-Seeking Posts

Massively multiplayer online games (MMOGs) can foster social interaction and relationship formatio...

Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries

The generation of incorrect images, such as depictions of people of color in Nazi-era uniforms by ...

Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking

In the era of vast digital information, the sheer volume and heterogeneity of available informatio...

From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis

Problem-solving therapy (PST) is a structured psychological approach that helps individuals manage...

Electronic Health Record-Based Prediction Models to Inform Decisions about HIV Pre-exposure Prophylaxis: A Systematic Review

Several clinical prediction models have been developed using electronic health records data to help ...

SPIRIT-CONSORT-TM: a corpus for assessing transparency of clinical trial protocol and results publications

Randomized controlled trials (RCTs) can produce valid estimates of the benefits and harms of therape...

Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: a systematic review

Automated detection of papilloedema using artificial intelligence (AI) and retinal images acquired t...

Target Trial Emulation Applications in Hypertension Research: A Scoping Review

Target Trial Emulation (TTE) has emerged as a rigorous framework for causal inference using observat...

Predicting the need for electroconvulsive therapy via machine learning trained on electronic health record data

Electroconvulsive therapy (ECT) is an effective treatment of severe manifestations of mental illness...

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