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Ten years of online incident reporting and learning using CPiRLS: implications for improved patient safety
BackgroundSafety incident (SI) reporting and learning via incident reporting systems (IRSs) is used to identify areas for patient safety improvement....
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Factors Influencing Monkeypox Vaccination: A Cue to Policy Implementation
BackgroundFollowing the mpox 2022 outbreak, several high-income countries have developed plans with inclusion criteria for vaccination against the...
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Lung nodule pre-diagnosis and insertion path planning for chest CT images
Medical image processing has proven to be effective and feasible for assisting oncologists in diagnosing lung, thyroid, and other cancers, especially...
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O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies
BackgroundOxygen saturation, a key indicator of COVID-19 severity, poses challenges, especially in cases of silent hypoxemia. Electronic health...
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An Introduction to Generative Artificial Intelligence in Mental Health Care: Considerations and Guidance
Purpose of ReviewThis paper provides an overview of generative artificial intelligence (AI) and the possible implications in the delivery of mental...
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Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis
BackgroundDifferentiating between Crohn’s disease (CD) and intestinal tuberculosis (ITB) with endoscopy is challenging. We aim to perform more...
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Combining predominant polarity and affective spectrum concepts in bipolar disorder: towards a novel theoretical and clinical perspective
This is an overview of recent advances on predominant polarity conceptualization in bipolar disorder (BD). Current evidence on its operationalized...
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An update on susceptibility‐weighted imaging in brain gliomas
AbstractSusceptibility-weighted imaging (SWI) has become a standard component of most brain MRI protocols. While traditionally used for detecting and...
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Further clarification of cognitive processes of prospective memory in schizophrenia by comparing eye-tracking and ecologically-valid measurements
The aim of this study is to compare ecologically-valid measure (the Cambridge Prospective Memory Test, CAMPROMPT) and laboratory measure...
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Leveraging Novel Technologies and Artificial Intelligence to Advance Practice-Oriented Research
Mental health services are experiencing notable transformations as innovative technologies and artificial intelligence (AI) are increasingly utilized...
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Text-Mining and Video Analytics of COVID-19 Narratives Shared by Patients on YouTube
This study explores how individuals who have experienced COVID-19 share their stories on YouTube, focusing on the nature of information disclosure,...
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Interpreting and coding causal relationships for quality and safety using ICD-11
Many circumstances necessitate judgments regarding causation in health information systems, but these can be tricky in medicine and epidemiology. In...
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Documenting the development, adoption and pre-ebola implementation of Liberia’s integrated disease surveillance and response (IDSR) strategy
BackgroundIn the immediate aftermath of a 14-year civil conflict that disrupted the health system, Liberia adopted the internationally recommended...
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Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
PurposeWith the in-depth application of machine learning(ML) in clinical practice, it has been used to predict the mortality risk in patients with...
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Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach
BackgroundThe Insomnia Severity Index (ISI) is a widely used questionnaire with seven items for identifying the risk of insomnia disorder. Although...
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A Pilot, Predictive Surveillance Model in Pharmacovigilance Using Machine Learning Approaches
IntroductionThe identification of a new adverse event (AE) caused by a drug product is one of the key activities in the pharmaceutical industry to...
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How to START? Four pillars to optimally begin your orphan drug development
Drug development is a complex, resource intensive and long process in any disease area, and develo** medicines to treat rare diseases presents even...
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Integrating artificial intelligence and natural language processing for computer-assisted reporting and report understanding in nuclear cardiology
Natural language processing (NLP) offers many opportunities in Nuclear Cardiology. These opportunities include applications in converting nuclear...
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Natural language processing system for rapid detection and intervention of mental health crisis chat messages
Patients experiencing mental health crises often seek help through messaging-based platforms, but may face long wait times due to limited message...
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Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository
In this paper, we focus on indexing mechanisms for unstructured clinical big integrated data repository systems. Clinical data is unstructured and...
