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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 757-777 of 7,289 articles
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...

(1)
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...

(1)
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...

Natural Language Processing Techniques to Detect Delirium in Hospitalized Patients from Clinical Notes: A Systematic Review

Delirium is a serious and common condition in hospitalized patients, associated with increased morbi...

Conversational AI in Therapy: Current Applications and Future Directions in Mental Health Support

This paper delivers a rigorous mixed-methods synthesis of conversational AI applications in mental h...

Automatic ICD coding using LLMs: a systematic review

Manual assignment of International Classification of Diseases (ICD) codes is error-prone. Transforme...

The blurred threshold of AI-use disclosure: International journal editors’ expectations of sufficiency and necessity

Generative AI is a powerful resource for health professions education (HPE) researchers publishing t...

Calibrating CONSORT-AI with FAIR Principles to enhance reproducibility in AI-driven clinical trials

Artificial intelligence (AI) is increasingly embedded in clinical trials, yet poor reproducibility r...

Artificial intelligence in prenatal ultrasound: A systematic review of diagnostic tools for detecting congenital anomalies

Artificial intelligence (AI) has potentially shown promise in interpreting ultrasound imaging throug...

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