[HTML][HTML] Detection of anaemia using medical images: A comparative study of machine learning algorithms–A systematic literature review
Background Anaemia is a global public health challenge that affects children and pregnant
women. Anaemia develops when the body's supply of red blood cells declines or when the …
women. Anaemia develops when the body's supply of red blood cells declines or when the …
Integrating artificial intelligence in industry 4.0: insights, challenges, and future prospects–a literature review
AEH Gabsi - Annals of Operations Research, 2024 - Springer
This review article explores the integration of artificial intelligence (AI) in industry 4.0 and its
transformative impact on the manufacturing sector. The core principles of industry 4.0 …
transformative impact on the manufacturing sector. The core principles of industry 4.0 …
A reinforcement federated learning based strategy for urinary disease dataset processing
Urinary disease is a complex healthcare issue that continues to grow in prevalence. Urine
tests have proven valuable in identifying conditions such as kidney disease, urinary tract …
tests have proven valuable in identifying conditions such as kidney disease, urinary tract …
Artificial intelligence can guide antibiotic choice in recurrent UTIs and become an important aid to improve antimicrobial stewardship
T Cai, U Anceschi, F Prata, L Collini, A Brugnolli… - Antibiotics, 2023 - mdpi.com
Background: A correct approach to recurrent urinary tract infections (rUTIs) is an important
pillar of antimicrobial stewardship. We aim to define an Artificial Neural Network (ANN) for …
pillar of antimicrobial stewardship. We aim to define an Artificial Neural Network (ANN) for …
Urinary tract infections: a review of the current diagnostics landscape
Urinary tract infections are the most common bacterial infections worldwide. Infections can
range from mild, recurrent (rUTI) to complicated (cUTIs), and are predominantly caused by …
range from mild, recurrent (rUTI) to complicated (cUTIs), and are predominantly caused by …
Enhancing urinalysis with smartphone and AI: a comprehensive review of point-of-care urinalysis and nutritional advice
Point-of-care diagnostics (POC), including urine test strips, offer several advantages over
traditional laboratory-based urine analysis. POC allows us to regulate our nutritional needs …
traditional laboratory-based urine analysis. POC allows us to regulate our nutritional needs …
[HTML][HTML] Clinical decision support systems: a step forward in establishing the clinical laboratory as a decision maker hub
E Flores, JM Salinas, Á Blasco… - Computational and …, 2023 - Elsevier
Background New tools for health information technology have been developed in recent
times, such as Clinical Decision Support (CDS) systems, which are any digital solutions …
times, such as Clinical Decision Support (CDS) systems, which are any digital solutions …
Recent advancement of analytical approaches for assessing Ataxia telangiectasia mutated kinase inhibitors in Ataxia telangiectasia: An overview
Ataxia telangiectasia, one of the rare human autosomal recessive disorders, results from a
mutation in the Ataxia telangiectasia mutated kinase (ATM) gene, leading to high …
mutation in the Ataxia telangiectasia mutated kinase (ATM) gene, leading to high …
[HTML][HTML] Electronic Phenotyping of Urinary Tract Infections as a Silver Standard Label for Machine Learning
This study explored the efficacy of electronic phenotyping in data labeling for machine
learning with a focus on urinary tract infections (UTIs). We contrasted labels from electronic …
learning with a focus on urinary tract infections (UTIs). We contrasted labels from electronic …
YOLO Based Segmentation and CNN Based Classification Framework for Epithelial and Pus Cell Detection
Identifying the cells, such as pus and epithelial cells, from microscopic images is one of the
important steps in medical diagnostics. Microscopic examination by hand is labor-intensive …
important steps in medical diagnostics. Microscopic examination by hand is labor-intensive …