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Error mitigation in forensic handwriting examination: the examiner's perspective.
Forensic Sci Res
December 2024
National Forensic Laboratory, Ljubljana, Slovenia.
Like other pattern recognition disciplines, forensic handwriting examination relies on various human factors. Expert opinions in the field are based on visual analysis and comparison, and the evaluation of findings is generally conducted without reference to tabulated data. This high level of subjectivity may contribute to bias and error in the examination process.
View Article and Find Full Text PDFArtificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations.
Plast Reconstr Surg Glob Open
January 2025
Department of Computer Science, Johns Hopkins University, Baltimore, MD.
Artificial intelligence (AI) scribe applications in the healthcare community are in the early adoption phase and offer unprecedented efficiency for medical documentation. They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. They use automatic speech recognition on the physician-patient interaction, generating a full medical note for the encounter, together with a draft follow-up e-mail for the patient and, often, recommendations, all within seconds or minutes.
View Article and Find Full Text PDFWhole-body tumor segmentation from FDG-PET/CT: Leveraging a segmentation prior from tissue-wise projections.
Heliyon
January 2025
Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, SE-75185, Sweden.
: Accurate tumor detection and quantification are important for optimized therapy planning and evaluation. Total tumor burden is also an appealing biomarker for clinical trials. Manual examination and annotation of oncologic PET/CT is labor-intensive and demands a high level of expertise.
View Article and Find Full Text PDFGlobal reasons for missed nursing care: a systematic review and meta-analysis.
Int Nurs Rev
March 2025
College of Nursing, ShaoYang University, Shaoyang, China.
Background: While numerous studies have quantified the prevalence of reasons for missed care, a comprehensive synthesis of evidence across various health systems remains lacking.
Aim: To estimate the pooled prevalence of the reasons reported by nurses for missed care, using data from the MISSCARE surveys.
Introduction: Missed nursing care, which refers to any aspect of essential patient care that is omitted or delayed, presents substantial risks to patient safety and the quality of care.
Application of core functions and forms in complex health intervention research: a scoping review protocol.
BMJ Open
January 2025
Adult and Child Center for Health Outcomes Research and Delivery Science (ACCORDS), University of Colorado School of Medicine, Aurora, Colorado, USA.
Introduction: The ability of healthcare, community and public health systems to effectively implement and disseminate research innovations depends on contextual factors at multiple interconnected levels of influence (eg, the innovation, individual, provider/implementor, organisation and health system). Recently, there has been an increase in the development of complex interventions designed to target multiple levels, designed for or adapted to the context in which they are delivered. Two concepts from complex systems thinking have been increasingly used to operationalise such interventions-core functions (theory and evidence-driven purposes of interventions) and forms (adaptable activities that perform each core function).
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