Hematology

Quantitative measurement of blood glucose influenced by multiple factors via photoacoustic technique combined with optimized wavelet neural networks.

In this work, the photoacoustic (PA) quantitative measurement of blood glucose concentration (BGC) i...

Deetect: A Deep Learning-Based Image Analysis Tool for Quantification of Adherent Cell Populations on Oxygenator Membranes after Extracorporeal Membrane Oxygenation Therapy.

The strong interaction of blood with the foreign surface of membrane oxygenators during ECMO therapy...

Deep Learning-Powered Bessel-Beam Multiparametric Photoacoustic Microscopy.

Enabling simultaneous and high-resolution quantification of the total concentration of hemoglobin ( ...

Robot-Assisted Radical Nephrectomy Using the Novel Avatera Robotic Surgical System: A Feasibility Study in a Porcine Model.

To evaluate the feasibility and intraoperative technical parameters of the new robot-assisted surgi...

Novel Use of a Real-Time Prediction Model to Enhance Early Detection of Need for Massive Transfusion-Artificial Intelligence Behind the Drapes.

Comparison of robot-assisted partial nephrectomy with soft coagulation and double-layer technique for complex and non-complex tumors.

OBJECTIVES: To compare the postoperative outcomes of robot-assisted partial nephrectomy when only th...

Artificial intelligence model with deep learning in nonalcoholic fatty liver disease diagnosis: genetic based artificial neural networks.

Nonalcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver disease i...

Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI.

BACKGROUND AND PURPOSE: Thrombus red blood cell (RBC) content has been shown to be a significant fac...

Medial versus lateral camera port placement for robotic nephron-sparing surgery: evaluating surgical complications and outcomes.

As the growing popularity of robotic-assisted laparoscopic procedures for the treatment of renal can...

Robot-assisted laparoscopic repair of cesarean scar defect: a systematic review of clinical evidence.

We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect...

AlphaFill: enriching AlphaFold models with ligands and cofactors.

Artificial intelligence-based protein structure prediction approaches have had a transformative effe...

Finding the influential clinical traits that impact on the diagnosis of heart disease using statistical and machine-learning techniques.

In recent years, the omnipresence of cardiac problems has been recognized as an epidemic. With the c...

White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS).

Treatment of blood smears with Wright's stain is one of the most helpful tools in detecting white bl...

Classification and Prediction on Hypertension with Blood Pressure Determinants in a Deep Learning Algorithm.

Few studies classified and predicted hypertension using blood pressure (BP)-related determinants in ...

Identification of hospitalized mortality of patients with COVID-19 by machine learning models based on blood inflammatory cytokines.

Coronavirus disease 2019 (COVID-19) spread worldwide and presented a significant threat to people's ...

Autonomous aspirating robot for removing saliva blood mixed liquid in oral surgery.

Saliva blood mixed liquid (SBML) appears in oral surgery, such as scaling and root planning, and it ...

Preliminary study of the accuracy and safety of robot-assisted mandibular distraction osteogenesis with electromagnetic navigation in hemifacial microsomia using rabbit models.

This study aimed to investigate the accuracy and safety of mandibular osteotomy and distraction devi...

Deep learning-based detection algorithm for brain metastases on black blood imaging.

Brain metastases (BM) are the most common intracranial tumors, and their prevalence is increasing. H...

Robot-Assisted Surgery of an Iliac Artery Aneurysm: A Case Report.

Robot-assisted surgery has not yet been able to establish itself for vascular surgery. However, the ...

Diagnostic performance of machine learning models using cell population data for the detection of sepsis: a comparative study.

OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods f...

Prediction of anemia using facial images and deep learning technology in the emergency department.

BACKGROUND: According to the WHO, anemia is a highly prevalent disease, especially for patients in t...