Latest AI and machine learning research in hematology for healthcare professionals.
Since 2014, we have used the da Vinci surgical system to perform internal thoracic artery harvest in...
Initial 37 cases of robot-assisted cardiac surgery were reviewed. The early outcomes were favorable ...
In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harves...
BACKGROUND: Immunophenotypic analysis of cell populations by flow cytometry has an established role ...
In this article is described an application of various machine learning (ML) methods to obtain decis...
Artificial intelligence processes are increasingly being used in emergency medicine, notably for sup...
BACKGROUND: Bleeding is one of the major complications after endoscopic submucosal dissection (ESD) ...
Blood velocity inversion based on magnetoelectric effect is helpful for the development of daily mon...
Data augmentation is reported as a useful technique to generate a large amount of image datasets fro...
To investigate the feasibility, safety and efficacy of transoral robotic surgery (TORS) in the trea...
The long-term split renal function after robot-assisted partial nephrectomy (RAPN) is yet to be elu...
SIGNIFICANCE: Developing algorithms for estimating blood oxygenation from snapshot multispectral ima...
OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer....
Most of the existing near-infrared noninvasive blood glucose detection models focus on the relations...
We report a case of giant hysteromyoma and complex pelvic adhesion treated by robotic assisted lapar...
Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoper...
The coronavirus disease 2019 (COVID-19) epidemic went down in history as a pandemic caused by corona...
BACKGROUND AND OBJECTIVE: Blood pressure is vital evidence for clinicians to predict diseases and ch...
Next generation sequencing generates copious amounts of genomics data, causing manual interpretation...
In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...
Biomedical applications of deep learning algorithms rely on large expert annotated data sets. The cl...