AIMC Topic: Hematology

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The power and perils of large language models in haematology.

British journal of haematology Sep 29, 2024
Large language models (LLMs) are a transformative technology poised to fundamentally change multiple fields including haematology. Here, we review the history of large language model development, describe their current capabilities and identify oppor...
Artificial Intelligence Hematology Humans
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Making sense of artificial intelligence and large language models-including ChatGPT-in pediatric hematology/oncology.

Pediatric blood & cancer Jun 26, 2024
ChatGPT and other artificial intelligence (AI) systems have captivated the attention of healthcare providers and researchers for their potential to improve care processes and outcomes. While these technologies hold promise to automate processes, incr...
Pediatrics Medical Oncology Child Humans Hematology Artificial Intelligence
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Digital Imaging and AI Pre-classification in Hematology.

Clinics in laboratory medicine Jun 8, 2024
A leukocyte differential of peripheral blood can be performed using digital imaging coupled with cellular pre-classification by artificial neural networks. Platelet and erythrocyte morphology can be assessed and counts estimated. Systems from a singl...
Image Processing, Computer-Assisted Hematology Neural Networks, Computer Humans Artificial Intelligence
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Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary.

Haematologica Aug 1, 2023
Deep learning (DL) is a subdomain of artificial intelligence algorithms capable of automatically evaluating subtle graphical features to make highly accurate predictions, which was recently popularized in multiple imaging-related tasks. Because of it...
Humans Artificial Intelligence Diagnostic Imaging Hematology Algorithms Deep Learning
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Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.

Journal of biomedical informatics Jun 3, 2023
OBJECTIVE: To determine whether graph neural network based models of electronic health records can predict specialty consultation care needs for endocrinology and hematology more accurately than the standard of care checklists and other conventional ...
Endocrinology Algorithms Electronic Health Records Referral and Consultation Hematology Humans Neural Networks, Computer
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An overview and a roadmap for artificial intelligence in hematology and oncology.

Journal of cancer research and clinical oncology Mar 15, 2023
BACKGROUND: Artificial intelligence (AI) is influencing our society on many levels and has broad implications for the future practice of hematology and oncology. However, for many medical professionals and researchers, it often remains unclear what A...
Humans Artificial Intelligence Forecasting Medical Oncology Hematology
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Performance analysis of the compact haematology analyser Sight OLO.

International journal of laboratory hematology Sep 8, 2022
INTRODUCTION: Sight OLO is a compact full blood count (FBC) analyser that uses digital imaging techniques and artificial intelligence to count and assess cellular components of capillary or venous blood. It provides a FBC with a 5-part white blood ce...
Humans Artificial Intelligence Reproducibility of Results Leukocyte Count Blood Cell Count Hematology
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Integrating artificial intelligence into haematology training and practice: Opportunities, threats and proposed solutions.

British journal of haematology Jul 4, 2022
There remains a limited emphasis on the use beyond the research domain of artificial intelligence (AI) in haematology and it does not feature significantly in postgraduate medical education and training. This perspective article considers recent deve...
Hematology Artificial Intelligence Physician-Patient Relations Humans
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Role of artificial intelligence and machine learning in haematology.

Journal of clinical pathology Apr 25, 2022
Machine Learning Humans Hematology Artificial Intelligence
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Identification of parameters and formulation of a statistical and machine learning model to identify Babesia canis infections in dogs using available ADVIA hematology analyzer data.

Parasites & vectors Jan 29, 2022
BACKGROUND: Canine babesiosis is an important tick-borne disease in endemic regions. One of the relevant subspecies in Europe is Babesia canis, and it can cause severe clinical signs such as hemolytic anemia. Apart from acute clinical symptoms dogs c...
Babesia Animals Babesiosis Reproducibility of Results Hematology Machine Learning Dogs Dog Diseases Sensitivity and Specificity Parasitemia
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