Hematology

Latest AI and machine learning research in hematology for healthcare professionals.

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Retinal blood vessel segmentation based on Densely Connected U-Net.

The segmentation of blood vessels from retinal images is an important and challenging task in medica...

Sustainable manufacturing of sensors onto soft systems using self-coagulating conductive Pickering emulsions.

Compliant sensors based on composite materials are necessary components for geometrically complex sy...

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

The volume of pelvic hematoma at CT has been shown to be the strongest independent predictor of majo...

Machine Learning Models Improve the Diagnostic Yield of Peripheral Blood Flow Cytometry.

OBJECTIVES: Peripheral blood flow cytometry (PBFC) is useful for evaluating circulating hematologic ...

[Innovative activated platelet detection technology by artificial intelligence].

Although antiplatelet drugs are widely used for the prevention and treatment of atherothrombosis, cl...

[Artificial intelligence-guided precision medicine in hematological disorders].

Precision medicine in oncology uses genomic data to provide the right intervention in the right pati...

Intelligent infusion controller with a physiological information feedback function.

BACKGROUND: In hospitals, some problems still exist, such as transfusion reaction that cannot be dea...

Deep Learning Techniques for Diabetic Retinopathy Detection.

Diabetes occurs due to the excess of glucose in the blood that may affect many organs of the body. E...

Retinopathy Analysis Based on Deep Convolution Neural Network.

At medical checkups or mass screenings, the fundus examination is effective for early detection of s...

A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.

Acute traumatic coagulopathy (ATC) is an extremely common but silent murderer; this condition presen...

Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Traditional statistical models allow population based inferences and comparisons. Machine learning (...

Deep Learning Analysis of Cerebral Blood Flow to Identify Cognitive Impairment and Frailty in Persons Living With HIV.

BACKGROUND: Deep learning algorithms of cerebral blood flow were used to classify cognitive impairme...

Anticoagulant treatment in elderly patients with atrial fibrillation: a position paper.

Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on antic...

[Surgical Outcomes of Laparoscopic Repeat Hepatectomy at Our Institution].

Laparoscopic hepatectomy has gained popularity owing to its merits, such as low invasiveness and red...

[A Case of Disseminated Carcinomatosis of the Bone Marrow Developing 15 Months after Gastrectomy].

The patient was a 60-year-old man who underwent distal gastrectomy for gastric cancer. The pathologi...

Potassium selenocyanoacetate reduces the blood triacylglycerol and atherosclerotic plaques in high-fat-dieted mice.

BACKGROUND: Controlling blood lipid levels at the early stage of cardiovascular disease is a major f...

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