Hematology

Research on multi-parameter fusion non-invasive blood glucose detection method based on machine learning.

OBJECTIVE: Traditional blood glucose testing methods have several disadvantages, such as high pain and poor acquisition continuity. In response to these shortcomings, we propose a multi-parameter fusion non-invasive blood glucose detection method that combines machine learning and photoplethysmography (PPG) signal feature parameter analysis.

Robotic Kidney Transplantation Under Regional Hypothermia.

The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described. It may be performed in all patients requiring kidney transplantation with some relative contraindications. Unlike open transplantation, RKT is a transperitoneal procedure. Patient lies supine with low lithotomy and 15° to 20° reverse Trendelenburg position. Port placement is like standard radical p...

Clinical significance of hepatic function in Graves disease with type 2 diabetic mellitus: A single-center retrospective cross-sectional study in Taiwan.

Graves disease (GD) and type 2 diabetes mellitus (T2DM) both impair liver function; we therefore explored the possibility of a relationship among diab...

SRV-GAN: A generative adversarial network for segmenting retinal vessels.

In the field of ophthalmology, retinal diseases are often accompanied by complications, and effective segmentation of retinal blood vessels is an impo...

Personalized Surgical Transfusion Risk Prediction Using Machine Learning to Guide Preoperative Type and Screen Orders.

BACKGROUND: Accurate estimation of surgical transfusion risk is essential for efficient allocation of blood bank resources and for other aspects of an...

Same-Day Discharge Protocol for Robot-Assisted Radical Prostatectomy: Experience of a High-Volume Referral Center.

As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in performing same-day discharge (SDD) protocols to mi...

Moving from "Surgeries" to Patients: Progress and Pitfalls While Using Machine Learning to Personalize Transfusion Prediction.

[Robot-assisted Cardiac Surgery Council and Current Status and Future Prospect of Robotic Mitral Valve Surgery in Japan].

The Robot-assisted Cardiac Surgery Council (RACSC) was established in 2015, and consists of the members of three closely related surgical societies an...

[Our Experience and Technical Improvement in Robot-assisted Cardiac Surgery].

Since 2014, we have used the da Vinci surgical system to perform internal thoracic artery harvest in minimally invasive direct coronary artery bypass ...

[The Initial Learning Curve of Robot-assisted Cardiac Surgery].

Initial 37 cases of robot-assisted cardiac surgery were reviewed. The early outcomes were favorable with low transfusion rate and no mortality, but so...

[Feasibility and Clinical Benefit of Robot-assisted Minimally Invasive Direct Coronary Artery Bypass Surgery].

In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harvesting is not so easy because of small exposure and ...

Contemporary Challenges in Clinical Flow Cytometry: Small Samples, Big Data, Little Time.

BACKGROUND: Immunophenotypic analysis of cell populations by flow cytometry has an established role in primary diagnosis and disease monitoring of man...

Substantive Interpretation of Machine Learning Solutions by the Example of Determining the Activity of the Tuberculosis Process in Individuals with Minimal Tuberculosis Residual Changes.

In this article is described an application of various machine learning (ML) methods to obtain decision rules and its interpretation to a problem of r...

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.

Artificial intelligence processes are increasingly being used in emergency medicine, notably for supporting clinical decisions and potentially improvi...

Utility of a deep learning model and a clinical model for predicting bleeding after endoscopic submucosal dissection in patients with early gastric cancer.

BACKGROUND: Bleeding is one of the major complications after endoscopic submucosal dissection (ESD) in early gastric cancer (EGC) patients. There are ...

[Research on inversion method of intravascular blood flow velocity based on convolutional neural network].

Blood velocity inversion based on magnetoelectric effect is helpful for the development of daily monitoring of vascular stenosis, but the accuracy of ...

The Effect of Data Augmentation in Deep Learning Approach for Peripheral Blood Leukocyte Recognition.

Data augmentation is reported as a useful technique to generate a large amount of image datasets from a small image dataset. The aim of this study is ...

[Transoral robotic surgery for treatment of lingual thyroglossal duct cyst].

To investigate the feasibility, safety and efficacy of transoral robotic surgery (TORS) in the treatment of lingual thyroglossal duct cyst (LTGDC). ...

Influence of Robot-Assisted Partial Nephrectomy on Long-Term Renal Function as Assessed Using 99m-Tc DTPA Renal Scintigraphy.

The long-term split renal function after robot-assisted partial nephrectomy (RAPN) is yet to be elucidated. This study aimed to assess long-term rena...

Multispectral snapshot imaging of skin microcirculatory hemoglobin oxygen saturation using artificial neural networks trained on in vivo data.

SIGNIFICANCE: Developing algorithms for estimating blood oxygenation from snapshot multispectral imaging (MSI) data is challenging due to the complexi...