AIMC Topic: Anemia

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Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm.

BMC medical informatics and decision making Sep 22, 2022
BACKGROUND: More than 115,000 maternal deaths and 591,000 prenatal deaths occurred in the world per year with anemia, the reduction of red blood cells or hemoglobin in the blood. The world health organization divides anemia in pregnancy into mild ane...
Humans Pregnant People Ethiopia Hemoglobins Anemia Machine Learning Algorithms Pregnancy Female
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A non-invasive approach to monitor anemia during long-duration spaceflight with retinal fundus images and deep learning.

Life sciences in space research Apr 19, 2022
During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future space missions exposing astronauts to longer periods of microgravity, such as missions to Mars, there will be a need to better understand this phenome...
Astronauts Space Flight Weightlessness Humans Deep Learning Anemia
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Anemia or other comorbidities? using machine learning to reveal deeper insights into the drivers of acute coronary syndromes in hospital admitted patients.

PloS one Jan 24, 2022
Acute coronary syndromes (ACS) are a leading cause of deaths worldwide, yet the diagnosis and treatment of this group of diseases represent a significant challenge for clinicians. The epidemiology of ACS is extremely complex and the relationship betw...
Humans Male Hospital Mortality Middle Aged Registries Risk Assessment Anemia Machine Learning Comorbidity Acute Coronary Syndrome Female Patient Admission Aged Models, Cardiovascular Middle East
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Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans.

BMC medical imaging Aug 12, 2021
BACKGROUND: To assess the potential of radiomic features to quantify components of blood in intraaortic vessels to non-invasively predict moderate-to-severe anemia in non-contrast enhanced CT scans.
Aged, 80 and over Young Adult Adult Male Tomography, X-Ray Computed Female Aged Anemia Image Interpretation, Computer-Assisted Aorta Middle Aged Decision Trees Hemoglobins Hematocrit Humans Machine Learning
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Peri-operative blood management of Jehovah's Witnesses undergoing cytoreductive surgery for advanced ovarian cancer.

Blood transfusion = Trasfusione del sangue Feb 25, 2021
BACKGROUND: The aim of this study was to evaluate the efficacy and feasibility of a peri-operative bloodless medicine and surgery (BMS) protocol in reducing severe post-operative anaemia (haemoglobin [Hb] <7 g/dL) in Jehovah's Witnesses undergoing cy...
Carcinoma, Ovarian Epithelial Middle Aged Humans Cytoreduction Surgical Procedures Jehovah's Witnesses Erythropoietin Retrospective Studies Ovarian Neoplasms Female Hemoglobins Anemia
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Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients.

International journal of medical sciences Feb 22, 2021
Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as preventive measures, presents important difficulties for hemodialysis patients. Nevertheless, the number of physicians able to manage such medications a...
Kidney Failure, Chronic Hemoglobins Anemia Datasets as Topic Hematinics Middle Aged Renal Dialysis Decision Support Systems, Clinical Iron Aged, 80 and over Adult Male Humans Machine Learning Retrospective Studies Electronic Health Records Female Aged
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A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study.

The Lancet. Digital health Jun 23, 2020
BACKGROUND: Anaemia is an important health-care burden globally, and screening for anaemia is crucial to prevent multi-organ injury, irreversible complications, and life-threatening adverse events. We aimed to establish whether a deep learning algori...
Retrospective Studies Republic of Korea Female Reproducibility of Results Deep Learning Humans Aged Electrocardiography Algorithms Anemia Male Middle Aged
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Deep learning models to detect hidden clinical correlates.

The Lancet. Digital health Jun 23, 2020
Deep Learning Anemia Humans Neural Networks, Computer Algorithms Retrospective Studies
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Role of Artificial Intelligence in Kidney Disease.

International journal of medical sciences Apr 6, 2020
Artificial intelligence (AI), as an advanced science technology, has been widely used in medical fields to promote medical development, mainly applied to early detections, disease diagnoses, and management. Owing to the huge number of patients, kidne...
Blood Pressure Humans Anemia Artificial Intelligence Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Kidney Transplantation Kidney Diseases Prognosis
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Machine learning algorithms for the detection of spurious white blood cell differentials due to erythrocyte lysis resistance.

Journal of clinical pathology Apr 16, 2019
AIMS: Red blood cell (RBC) lysis resistance interferes with white blood cell (WBC) count and differential; still, its detection relies on the identification of an abnormal scattergram, and this is not clearly adverted by specific flags in the Beckman...
Leukocytes Light Liver Diseases Anemia Humans Reproducibility of Results Erythrocytes Hemolysis Machine Learning Case-Control Studies Leukocyte Count Automation, Laboratory Predictive Value of Tests Scattering, Radiation
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