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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
12 articles
Newest firstRationale Electronic cigarettes (EC) are handheld electronic vaping devices that produce an aerosol by heating a liquid. People who smoke, healthcare providers, and regulators want to know if EC can help people quit smoking, and if they are safe to use for this purpose. This review update was conducted as part of a living systematic review. Objectives To examine the safety, tolerability, and effectiveness of EC fo…
Open article record in new tab ↗Artificial Intelligence (AI) is rapidly transforming healthcare, but also raising concerns about algorithmic biases that mostly stem from the training data. It is widely supported that transparent dataset documentation is key to enabling responsible AI development. Several standardized dataset documentation approaches have been established, such as Datasheet, Dataset Nutrition Label, Accountability Documentation,…
Open article record in new tab ↗BackgroundBiases held by healthcare practitioners can shape clinical interactions, leading to discrimination and poor patient outcomes. Traditional methods, such as vignettes or self-report measures, often lack ecological validity. ObjectiveWe evaluated a novel VR simulation designed to explore bias and discrimination in clinical decision-making. MethodsThirty-five healthcare practitioners across 14 NHS trusts com…
PurposeHealthcare practitioners have shown implicit and explicit attitudes that disfavor people with disabilities. This study aimed to describe how these attitudes evolved between 2006 and 2024 across clinicians, rehabilitation assistants, and other occupations. MethodsIn this comparative repeated cross-sectional study, data from 660,430 participants from Project Implicit were analyzed. Implicit attitudes were ass…
Open article record in new tab ↗ObjectiveAbleism is rooted in attitudes that influence behaviors and decisions toward people with disabilities. To assess whether these attitudes vary by occupation, we compared the preferences for people with or without physical disabilities between clinicians, rehabilitation assistants, and individuals in other professions. MethodsData from 213,191 participants, collected online through Project Implicit, were an…
Open article record in new tab ↗Clinical decision instruments (CDIs) face an equity dilemma. On the one hand, they often reduce disparities in patient care through data-driven standardization of best practices. On the other hand, this standardization may itself inadvertently perpetuate bias and inequality within healthcare systems. Here, we quantify different measures of potential for implicit bias present in CDI development that can inform futu…
Open article record in new tab ↗Background Individuals with mental illness are stigmatized by peers in societal, workplace, and healthcare settings. The stigmatization individuals experience from healthcare providers is well documented and pervasive, often being a detriment to the quality of healthcare these individuals receive. Objective Recognizing and addressing stigmatization toward individuals with mental illnesses is imperative during resi…
Open article record in new tab ↗BackgroundThe launch of the Chat Generative Pre-trained Transformer (ChatGPT) in November 2022 has attracted public attention and academic interest to large language models (LLMs), facilitating the emergence of many other innovative LLMs. These LLMs have been applied in various fields, including healthcare. Numerous studies have since been conducted regarding how to employ state-of-the-art LLMs in health-related s…
The introduction of large language models (LLMs) into clinical practice promises to improve patient education and empowerment, thereby personalizing medical care and broadening access to medical knowledge. Despite the popularity of LLMs, there is a significant gap in systematized information on their use in patient care. Therefore, this systematic review aims to synthesize current applications and limitations of L…
Background and purpose Arrestin or G protein bias may be desirable for novel cannabinoid therapeutics. Arrestin-2 and arrestin-3 translocation to CB1 receptor have been suggested to mediate different functions that may be exploited with biased ligands. Here, the requirement of a recently described phosphorylation motif 'pxxp' (where 'p' denotes phosphorylatable serine or threonine and 'x' denotes any other amino a…
Open article record in new tab ↗Importance Epilepsy is one of the most common neurologic disorders globally. Cannabidiol (CBD) has been approved for the treatment of epilepsy, but its use has been associated with several different adverse events (AEs). Objective To investigate the frequency and risk of AEs developing in patients with epilepsy who are using CBD. Data sources PubMed, Scopus, Web of Science, and Google Scholar were searched for rel…
Open article record in new tab ↗Study design Systematic review. Objectives To evaluate the impact of cannabinoids on neurobehavioral outcomes in preclinical models of nontraumatic and traumatic spinal cord injury (SCI), with the aim of determining suitability for clinical trials involving SCI patients. Methods A systematic search was performed in MEDLINE and Embase databases, following registration with PROPSERO (CRD42019149671). Studies evaluat…
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