Hematology

[Application of robot-assisted laparoscopic sentinel lymph node tracing in treating endometrial carcinoma].

To investigate the value of robot-assisted laparoscopic indocyanine green sentinel lymph node (SLN)...

[Clinical analysis of three-dimensional surgical planning system for guiding robot-assisted selective artery clamping partial nephrectomy in completely endophytic renal tumor].

To examine the safety and feasibility of three-dimensional (3D) surgical planning system for guidin...

A Computer-Aided Diagnosis System of Fetal Nucleated Red Blood Cells With Convolutional Neural Network.

CONTEXT.—: The rapid recognition of fetal nucleated red blood cells (fNRBCs) presents considerable c...

Disease classification for whole-blood DNA methylation: Meta-analysis, missing values imputation, and XAI.

BACKGROUND: DNA methylation has a significant effect on gene expression and can be associated with v...

[Comparison of Perioperative Outcomes between Open and Robot-Assisted Laparoscopic Radical Cystectomy].

We compared the perioperative outcomes of open (ORC) and robot-assisted laparoscopic radical cystect...

Redo Robotic Partial Nephrectomy for Recurrent Renal Tumors: A Multi-Institutional Analysis.

As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expand...

A merged molecular representation deep learning method for blood-brain barrier permeability prediction.

The ability of a compound to permeate across the blood-brain barrier (BBB) is a significant factor f...

Robotic Kidney Transplantation Under Regional Hypothermia.

The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described....

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 a...

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 exp...

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

In the field of ophthalmology, retinal diseases are often accompanied by complications, and effectiv...

Detection of live breast cancer cells in bright-field microscopy images containing white blood cells by image analysis and deep learning.

SIGNIFICANCE: Circulating tumor cells (CTCs) are important biomarkers for cancer management. Isolate...

[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 harves...

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

Initial 37 cases of robot-assisted cardiac surgery were reviewed. The early outcomes were favorable ...

[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...

[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 memb...

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

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 p...

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 o...

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 ...

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

Artificial intelligence processes are increasingly being used in emergency medicine, notably for sup...