Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 4,291 to 4,300 of 203,842 articles

Insights into middle-aged men (40-70) who died by suicide: a nationwide mixed methods study in the Netherlands.

BMC public health
BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand their heightened vulnerability, we examine the interplay between sociodemographic factors, contextualized through psychosocial perspectives. METHODS: Dat... read more 

Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.

BMC medical informatics and decision making
BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring systems to balance early-warning sensitivity, dynamic progression characterization, and mechanistic interpretability. Developing a multi-objective optim... read more 

Prospective germline exome and machine learning-based risk score identify predictive and prognostic biomarkers of immunotherapy outcomes in advanced non-small cell lung cancer.

Journal of translational medicine
BACKGROUND: Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape of advanced non-small cell lung cancer (NSCLC). However, a substantial proportion of patients do not experience durable clinical benefits, and established tumour... read more 

Perceptions, challenges, and innovations in educational rehabilitation for students with intellectual disabilities in Saudi Arabia.

BMC medical education
This study evaluated stakeholder perceptions, implementation barriers, and innovation readiness in educational rehabilitation programs for students with intellectual disabilities in Saudi Arabia. A quantitative cross-sectional design was employed usi... read more 

Accuracy of machine learning in predicting recurrence risk of lumbar disc herniation after percutaneous endoscopic lumbar discectomy: a systematic review and meta-analysis.

Journal of orthopaedic surgery and research
BACKGROUND: Lumbar disc herniation (LDH) is a major cause of low back pain and radicular leg pain. Percutaneous endoscopic lumbar discectomy (PELD) is a widely used minimally invasive procedure for the treatment of LDH; however, recurrent lumbar disc... read more 

Training effect of a deep learning-based blended teaching model on ECMO transport for ICU nurses: a prospective, parallel-group, randomized controlled trial.

BMC nursing
OBJECTIVE: Given the high alignment between deep learning and blended teaching objectives, blended teaching provides a feasible pathway for achieving deep learning. This study aimed to verify the efficacy of a deep learning-based blended teaching mod... read more 

Harnessing ChatGPT for SBA question writing: a novel approach to medical student learning.

BMC medical education
The introduction of the Medical Licensing Assessment (MLA) requires UK medical graduates to pass two 100-item single best answer (SBA) question papers. Access to high-quality question banks is often restricted by expensive paywalls, evolving guidelin... read more 

Ultrasound elastography in pediatric care: bridging innovation and noninvasive diagnostics.

Italian journal of pediatrics
This review explores the application and limitations of ultrasound elastography (USE) in the pediatric population, addressing its diagnostic value across different organs and suggesting future directions for research and clinical practice. A literatu... read more 

Machine learning models of segmentation in acute ischemic stroke: a systematic review and meta-analysis.

Biomedical engineering online
BACKGROUND: Accurate segmentation of acute ischemic stroke (AIS) lesions on neuroimaging is essential for diagnosis, treatment decision-making, and prognostication. Manual methods are limited by time and variability. Machine learning (ML), especially... read more 

Dialogues of delivery: a multilingual question-answer dataset for maternal healthcare in East African languages.

BMC research notes
OBJECTIVE: There is a critical scarcity of domain-specific, clinically grounded Natural Language Processing (NLP) resources for African languages. In Western Uganda, linguistic diversity creates a barrier to maternal healthcare, as mothers lack acces... read more