AI Article Synopsis
Article Abstract
Introduction: Digital microscopy systems are beginning to replace traditional light microscopes for morphologic analysis of blood films, but these are geographically restricted to individual computers and technically limited by manufacturer's constraints. We explored the use of a scanner-agnostic web-based artificial intelligence (AI) system to assess the accuracy of white blood cell (WBC) differentials and blast identification in haematological malignancies.
Methods: Digitized images of 20 normal and 124 abnormal peripheral blood films were uploaded to the web-based platform (Techcyte©) and WBC differentials performed using the online AI software. Digital images were viewed for accuracy and manual cell reassignment was performed where necessary. Results were correlated to the 'gold standard' of manual microscopy for each WBC class, and sensitivity and specificity of blast identification were calculated.
Results: The AI digital differential was very strongly correlated to microscopy (r > .8) for most normal cell types and did not require any manual reassignment. The AI digital differential was less reliable for abnormal blood films (r = .50-.87), but could be greatly improved by manual assessment of digital images for most cell types (r > .95) with the exception of immature granulocytes (r = .62). For blast identification, initial AI digital differentials showed 96% sensitivity and 25% specificity, which was improved to 99% and 84%, respectively, after manual digital review.
Conclusions: The Techcyte platform allowed remote viewing and manual analysis of digitized slides that was comparable to microscopy. The AI software produced adequate WBC differentials for normal films and had high sensitivity for blast identification in malignant films.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/ijlh.13657 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A distinct subgroup of AML resembling the APL immunophenotype is associated with DIC.
BMC Cancer
December 2024
Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Background: The complexity of acute myeloid leukemia (AML) is increasingly recognized through the identification of distinct subgroups, including those with an APL-like immunophenotype characterized by the absence of CD34 and HLA-DR expression, which is widely recognized as a representative immunophenotype in acute promyelocytic leukemia (APL). This study sought to understand the clinical, molecular, and prognostic differences between AML patients with and without this phenotype.
Methods: This study retrospectively analysed 191 de novo non-M3 AML patients and identified 32 patients with the CD34HLA-DR phenotype resembling APL-like immunophenotype, considered as the experimental group.
Molecular identification and subtypes analysis of Blastocystis in South Khorasan province, Eastern Iran.
Mol Biol Rep
December 2024
Foodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Blastocystis is a prevalent intestinal parasitic protist that infects both birds and animals. There are at least 44 subtypes (ST) of Blastocystis, with ST1-ST9 being found in humans. The correlation between specific subtypes and pathogenicity has not been definitively established.
View Article and Find Full Text PDFInternal transcribed spacer (ITS): The powerful DNA barcode and phylogenetic marker for successful authentication of Withania somnifera.
Mol Biol Rep
December 2024
R&D Healthcare Division, Emami Limited, 13 B.T Road, Belgharia, Kolkata, West Bengal, 700056, India.
Background: Understanding the evolutionary history of plants and accurately identifying biologically important species and their families is crucial for the herbal and Ayurvedic industries. The genetic approach by DNA barcoding plays a pivotal role in accurate species identification, authentication and quality control. Due to various therapeutic properties, Withania somnifera has been used worldwide in traditional systems of medicine for centuries including Ayurveda and Unani.
View Article and Find Full Text PDFProstruc: an open-source tool for 3D structure prediction using homology modeling.
Front Chem
November 2024
African Society for Bioinformatics and Computational Biology, Cape Town, South Africa.
Introduction: Homology modeling is a widely used computational technique for predicting the three-dimensional (3D) structures of proteins based on known templates,evolutionary relationships to provide structural insights critical for understanding protein function, interactions, and potential therapeutic targets. However, existing tools often require significant expertise and computational resources, presenting a barrier for many researchers.
Methods: Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline.
Molecular identification, genetic diversity, and secondary structure predictions of Physalis species using ITS2 DNA barcoding.
BMC Plant Biol
December 2024
Department of Biochemistry, Faculty of Science and Technology, University of Nairobi, P.O. Box 30197, Nairobi, Kenya.
Background: The genus Physalis belongs to the Solanaceae family and has different species with important nutritional and medicinal values. Species within this genus have limited morphological differences, a characteristic that hinders accurate identification, safe utilization and genetic conservation of promising genotypes. In addition, to prevent the perceived loss of Physalis diversity due to habitat destruction, species delimitation needs attention.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!