Hematology

Artificial Intelligence in Point-of-Care Testing.

With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability of hospitals, lack of trained and skilled staff performing tests, and poor compliance with quality assurance protocols. Point-of-care testing using art...

[Laboratory testing for anemia in primary care: reflex testing, reflecting and algorithms?].

This commentary discusses the prevalence and causes of anemia in primary care in the Netherlands and the role of laboratory diagnostics in determining the cause of anemia. There are indications that guidelines in primary care regarding anemia are insufficiently followed; there are also indications that the correct laboratory measurements are requested too limited (under-diagnosis). A possible solu...

TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF.

Segmentation of retinal fundus images is a crucial part of medical diagnosis. Automatic extraction of blood vessels in low-quality retinal images rema...

Identification of thrombopoiesis inducer based on a hybrid deep neural network model.

Thrombocytopenia is a common haematological problem worldwide. Currently, there are no relatively safe and effective agents for the treatment of throm...

Label-free liquid biopsy through the identification of tumor cells by machine learning-powered tomographic phase imaging flow cytometry.

Image-based identification of circulating tumor cells in microfluidic cytometry condition is one of the most challenging perspectives in the Liquid Bi...

Blood quality evaluation on-chip classification of cell morphology using a deep learning algorithm.

The quality of red blood cells (RBCs) in stored blood has a direct impact on the recovery of patients treated by blood transfusion, which directly ref...

Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression.

There is a lack of objective features for the differential diagnosis of unipolar and bipolar depression, especially those that are readily available i...

Radiologist Worklist Reprioritization Using Artificial Intelligence: Impact on Report Turnaround Times for CTPA Examinations Positive for Acute Pulmonary Embolism.

In patients with acute pulmonary embolism (PE), timely intervention (e.g., initiation of anticoagulation) is critical for optimizing clinical outcome...

Early Postoperative Outcomes of Retroperitoneal Partial Nephrectomy of Anterior and Posterior Renal Tumors: A 5-Year Experience in A Single Center.

Partial nephrectomy (PN) is one of the surgical treatment options for renal tumors. Therefore, the aim of this study was to compare the surgical outc...

Cell damage evaluation by intelligent imaging flow cytometry.

Essential thrombocythemia (ET) is an uncommon situation in which the body produces too many platelets. This can cause blood clots anywhere in the body...

A decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status.

Oncology treatments require continuous individual adjustment based on the measurement of multiple clinical parameters. Prediction tools exploiting the...

Higher risk of intraoperative bleeding in right-sided renal tumors compared to left-sided tumors in robot-assisted partial nephrectomy.

OBJECTIVE: To compare intraoperative blood loss in robot-assisted partial nephrectomy (RAPN) between the right and left sides.

Artificial Intelligence-based online platform assists blood cell morphology learning: A mixed-methods sequential explanatory designed research.

BACKGROUND: The study aimed to evaluate the effectiveness of learning blood cell morphology by learning on our Artificial intelligence (AI)-based onli...

Simultaneous excision of pelvic lipoma and robot-assisted radical prostatectomy.

Lipoma is a benign mesenchymal tumour that can develop in any part of the body containing adipose tissue. Very few cases of pelvic lipomas have been r...

Deep learning-based optical approach for skin analysis of melanin and hemoglobin distribution.

SIGNIFICANCE: Melanin and hemoglobin have been measured as important diagnostic indicators of facial skin conditions for aesthetic and diagnostic purp...

A genome-wide association study of childhood adiposity and blood lipids.

The rising prevalence of childhood obesity and dyslipidaemia is a major public health concern due to its association with morbidity and mortality in ...

Classification method based on Siamese-like neural network for inter-species blood Raman spectra similarity measure.

Analysis of blood species is an extremely important part in customs inspection, forensic investigation, wildlife protection and other fields. In this ...

AMLnet, A deep-learning pipeline for the differential diagnosis of acute myeloid leukemia from bone marrow smears.

Acute myeloid leukemia (AML) is a deadly hematological malignancy. Cellular morphology detection of bone marrow smears based on the French-American-Br...

Short: Prediction of fetal blood oxygen content in response to partial occlusion of maternal aorta.

Acute hemorrhage in pregnancy may lead to maternal and/or fetal morbidity or mortality. In emergency medicine, blockage of the aorta via an inflatable...

Perioperative, functional, and oncologic outcomes in patients undergoing robot-assisted radical prostatectomy previous transurethral resection of prostate: a systematic review and meta-analysis of comparative trials.

The influence of robot-assisted radical prostatectomy (RARP) on patients who have previously undergone transurethral resection of the prostate (TURP) ...