Latest AI and machine learning research in hematology for healthcare professionals.
Fusing demographic information into deep learning models has become of interest in recent end-to-end cuff-less blood pressure (BP) estimation studies in order to achieve improved performance. Conventionally, the demographic feature vector is concatenated with the pooled embedding vector. Here, using an attention-based convolutional neural network-gated recurrent unit (CNN-GRU), we present a new ap...
To analyze the short-term clinical effects of robot-assisted and laparoscopic repair of the hiatal hernia. The clinical data of 56 patients underwent minimally invasive hiatal hernia repair from January 2021 to January 2022 in the Department of Minimally Invasive Surgery, Hernias and Abdominal Wall Surgery, People's Hospital of Xinjiang Uygur Autonomous Region were retrospectively analyzed. Ther...
Transmissive laser speckle imaging (LSI) is useful for monitoring large field-of-view (FOV) blood flow in thick tissues. However, after longer transmi...
Timely and rapid diagnosis is crucial for faster and proper malaria treatment planning. Microscopic examination is the gold standard for malaria diagn...
Anastomotic leakage is a feared complication after esophagectomy and associated with increased post-operative morbidity and mrotality. The aim of this...
BACKGROUND: The alteration of cerebrospinal fluid (CSF) in hematologic neoplasms is a poor prognostic marker. The characteristics of CSF are usually a...
Identifying the function of DNA sequences accurately is an essential and challenging task in the genomic field. Until now, deep learning has been wide...
Open radical cystectomy (ORC) is associated with high rates of perioperative morbidity and mortality, owing to its extensive surgical nature and the h...
BACKGROUND: Blood transfusions (BT) have been associated with adverse oncologic outcomes in multiple malignancies including open radical cystectomy (O...
BACKGROUND: Substantial improvements in computational power and machine learning (ML) algorithm development have vastly increased the limits of what a...
To examine the application value of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions. A retrospec...
AIMS: Blood cell classification helps detect various diseases. However, the current classification model of blood cells cannot always get great result...
After an examination of evidentiary or reference samples has been performed, the next step is DNA extraction. This crucial step allows for deoxyribonu...
BACKGROUND: Aplastic anemia (AA) is an uncommon condition characterized by pancytopenia and hypocellular bone marrow. Interleukin (IL)-6 and IL-8 have...
Background The tonsillectomy is the most common Ear, Nose, and Throat (ENT) surgical procedure. Different methods have been used to improve the outcom...
We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RADP)of early 5 cases in our institutional introduct...
To investigate the value of robot-assisted laparoscopic indocyanine green sentinel lymph node (SLN) tracing in treating endometrial carcinoma. Thirt...
To examine the safety and feasibility of three-dimensional (3D) surgical planning system for guiding robot-assisted selective artery clamping partial...
As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expanded to incorporate previously operated ipsilateral ...
We compared the perioperative outcomes of open (ORC) and robot-assisted laparoscopic radical cystectomy (RARC) for patients with bladder cancer. We re...