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Comparison of a traditional systematic review approach with review-of-reviews and semi-automation as strategies to update the evidence
BackgroundThe exponential growth of the biomedical literature necessitates investigating strategies to reduce systematic reviewer burden while...
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Living Health Technology Assessment: Issues, Challenges and Opportunities
Health technology assessments (HTAs) are typically performed as one-off evaluations and can potentially become out-of-date due to the availability of...
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Risk of drug use during pregnancy: master protocol for living systematic reviews and meta-analyses performed in the metaPreg project
BackgroundKnowledge about the risks of drugs during pregnancy is continuously evolving due to the frequent publication of a large number of...
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Comparison of oocyte vitrification using a semi-automated or a manual closed system in human siblings: survival and transcriptomic analyses
BackgroundIndications of oocyte vitrification increased substantially over the last decades for clinical and ethical reasons. A semi-automated...
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Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system
BackgroundMachine learning and automation are increasingly used to make the evidence synthesis process faster and more responsive to policymakers’...
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A simple and automated method for 161Tb purification and ICP-MS analysis of 161Tb
Background161 Tb is a radiolanthanide with the potential to replace 177 Lu in targeted radionuclide therapy. 161 Tb is produced via the neutron...
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The semi-automation of title and abstract screening: a retrospective exploration of ways to leverage Abstrackr’s relevance predictions in systematic and rapid reviews
BackgroundWe investigated the feasibility of using a machine learning tool’s relevance predictions to expedite title and abstract screening.
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Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures
Literature reviewCystoscopy is the gold standard for initial macroscopic assessments of the human urinary bladder to rule out (or diagnose) bladder...
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Deep Learning-based Assessment of Internal Carotid Artery Anatomy to Predict Difficult Intracranial Access in Endovascular Recanalization of Acute Ischemic Stroke
BackgroundEndovascular thrombectomy (EVT) duration is an important predictor for neurological outcome. Recently it was shown that an angle of ≤ 90°...
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Evaluating implementation outcomes (acceptability, adoption, and feasibility) of two initiatives to improve the medication prior authorization process
BackgroundProcesses such as prior authorization (PA) for medications, implemented by health insurance companies to ensure that safe, appropriate,...
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Autonomous pick-and-place using the dVRK
PurposeRobotic-assisted partial nephrectomy (RAPN) is a tissue-preserving approach to treating renal cancer, where ultrasound (US) imaging is used...
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Fully automated artificial intelligence-based coronary CT angiography image processing: efficiency, diagnostic capability, and risk stratification
ObjectivesTo prospectively investigate whether fully automated artificial intelligence (FAAI)-based coronary CT angiography (CCTA) image processing...
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Usability evaluation of an integrated electronic medication management system implemented in an oncology setting using the unified theory of acceptance and use of technology
BackgroundMedication management processes in an Oncology setting are complex and difficult to examine in isolation from interrelated processes and...
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Delphi survey on the most promising areas and methods to improve systematic reviews’ production and updating
BackgroundSystematic reviews (SRs) are invaluable evidence syntheses, widely used in biomedicine and other scientific areas. Tremendous resources are...
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Automation of systematic reviews of biomedical literature: a sco** review of studies indexed in PubMed
BackgroundThe demand for high-quality systematic literature reviews (SRs) for evidence-based medical decision-making is growing. SRs are costly and...
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Semi-automating abstract screening with a natural language model pretrained on biomedical literature
We demonstrate the performance and workload impact of incorporating a natural language model, pretrained on citations of biomedical literature, on a...
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Advancements in differentiation between sperm cells and epithelial cells for efficient forensic DNA analysis in sexual assault cases
Most of the sexual assault casework samples are of mixed sources. Forensic DNA laboratories are always in the requirement of a precise technique for...
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Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans
PurposeKidney volume is important in the management of renal diseases. Unfortunately, the currently available, semi-automated kidney volume...
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Evaluation of the quality and the productivity of neuroradiological reading of multiple sclerosis follow-up MRI scans using an intelligent automation software
PurposeThe assessment of multiple sclerosis (MS) lesions on follow-up magnetic resonance imaging (MRI) is tedious, time-consuming, and error-prone....
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Visual lung ultrasound protocol (VLUP) in acute respiratory failure: description and application in clinical cases
Lung ultrasound (LUS) is widely used as a diagnostic and monitoring tool in critically ill patients. Lung ultrasound score (LUSS) based on the...
