5150 papers
This review explores the applications of artificial intelligence in optimizing analgesic drug therapy and pain management, highlighting its potential to improve patient outcomes, predict treatment responses, and reduce costs while addressing the extensive use of analgesics in hospital settings.
This updated systematic review and meta-analysis of 12 studies involving over 20,000 patients suggests that IVUS-guided PCI for unprotected left main coronary artery disease is associated with significantly lower rates of all-cause mortality, cardiac mortality, myocardial infarction, and target vessel revascularization compared to angiography-guided PCI, although these benefits were primarily driven by observational data while randomized controlled trials showed neutral results.
This study models that shifting Nigeria's sugar tax from an ad valorem system to a tiered, gram-based specific tax with a 4 g/100 ml threshold would simultaneously drive a significant reduction in national sugar consumption through industry reformulation and generate substantial, predictable fiscal revenue to support healthcare infrastructure.
This reflexive thematic analysis of 19 culturally and linguistically diverse parents reveals that while online parent-led therapy is broadly acceptable, its effectiveness and engagement depend critically on adapting programs to address specific linguistic proficiencies, sociocultural contexts, and material access barriers rather than relying on monolingual, Western-centric designs.
This study evaluates six cornflake brands available in Nigeria against the WHO African Region nutrient profile model and finds that five of them exceed sodium or sugar thresholds, rendering them ineligible for marketing to children and necessitating reformulation.
This study proposes and validates a novel, theory-grounded biomarker based on the aggregate conditional entropy of EEG microstate transition sequences derived from Markov modelling, demonstrating its ability to differentiate Alzheimer's disease from healthy controls and frontotemporal dementia with high interpretability and without reliance on MRI or deep learning.
This study utilizes data from the English Longitudinal Study on Ageing to develop and validate a psychometrically robust, multidimensional research tool consisting of five distinct frailty factors—Mobility/Severe Pain, Planning/Self Care, Depression, Moderate Pain/Movement/Arthritis, and Cardio-Metabolic—to facilitate accurate longitudinal assessment of frailty in aging populations.
While the 2023 policy removing user fees for maternal and neonatal care in Kinshasa, DRC, significantly increased service utilization, its effectiveness in improving health outcomes was constrained by systemic challenges such as staff shortages, supply stock-outs, and overcrowding, highlighting the need for parallel investments in health system capacity.
This mixed-method FRESHAIR study reveals that healthcare professionals in Kyrgyzstan hold negative perceptions and misbeliefs about chronic lung disease, leading to resource-constrained, experience-based care that varies by profession and setting, thereby highlighting the urgent need for targeted training and improved facility support.
This study demonstrates that combining electrocochleography and electrode impedance measurements significantly improves the objective monitoring of residual hearing after cochlear implantation compared to using either biomarker alone, confirming their complementary value in assessing cochlear health.