AIMC Topic: Humans

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Lesion stratification with intracoronary imaging.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
Intracoronary (IC) imaging-guided percutaneous coronary intervention (PCI) improves clinical outcomes in patients with high clinical and anatomical risk when compared to interventions guided by angiography alone. Recent Class I recommendations for th...

Progress of lateral flow assays for the detection of molecular and microbial species: from basic formats to microfluids, CRISPR and artificial intelligence.

The Analyst
Lateral flow assays (LFAs) have garnered much interest in the biomedical and agricultural sciences because of their user-friendly design, quick turnaround times, minimal interference, affordability, and ease of use by individuals. To date, many resea...

Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers.

Physiological measurement
Objective.Large vessel occlusion (LVO) stroke presents a major challenge in clinical practice due to the potential for poor outcomes with delayed treatment. Treatment for LVO involves highly specialized care, in particular endovascular thrombectomy, ...

Reference Accuracy in Large Language Model Chatbots: A Metric for Inherent Misinformation?

Medical science monitor : international medical journal of experimental and clinical research
BACKGROUND We suggest that testing a large language model (LLM) chatbot in terms of the accuracy of the references it provides could be a powerful, quantifiable means of rating its inherent degree of misinformation, since the accuracy of the bibliogr...

Construction of a diagnostic model for tuberculosis based on long non-coding RNA.

Annals of medicine
BACKGROUND: The World Health Organization encourages the development of novel diagnostic tools based on 'non-sputum' samples to meet global goals for tuberculosis (TB) control. We aimed to develop a machine learning-driven model for TB diagnosis, usi...

Rebuilding the pelvis: advances in robotic-assisted management of complex pelvic fractures.

Computer assisted surgery (Abingdon, England)
Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy and proximity to vital neurovascular structures. Traditional open reduction and internal fixation (ORIF) improves stability but is complicated by exce...

Predicting epistasis across proteins by structural logic.

Proceedings of the National Academy of Sciences of the United States of America
Accurately predicting the phenotypic consequences of genetic variation is a major challenge for precision medicine. The problem is exacerbated by epistatic interactions, nonadditive effects between genetic variants that produce unexpected phenotypes....

Predicting the progression of difficult-to-treat rheumatoid arthritis by a machine learning scoring system, from the FIRST registry.

RMD open
OBJECTIVES: This study aimed to develop and validate a prediction model for the future progression of difficult-to-treat rheumatoid arthritis (D2T RA) and support the precise use of biologic and targeted synthetic disease-modifying antirheumatic drug...

Deep learning algorithm for semiquantification of spinal inflammation in axial spondyloarthritis.

RMD open
OBJECTIVE: To develop a deep learning algorithm for semiquantification of spinal inflammation in patients with axial spondyloarthritis (SpA). METHODS: The study included 330 participants with axial SpA. All patients underwent whole spine MRI with sho...