Hematology

Artificial Intelligence Assists in the Detection of Blood Vessels in Whole Slide Images: Practical Benefits for Oncological Pathology.

The analysis of the microvasculature and the assessment of angiogenesis have significant prognostic ...

Artificial intelligence and the blood film: Performance of the MC-80 digital morphology analyzer in samples with neoplastic and reactive cell types.

INTRODUCTION: Implementing artificial intelligence-based instruments in hematology laboratories requ...

[Artificial Intelligence for computer-aided leukemia diagnostics].

The manual examination of blood and bone marrow specimens for leukemia patients is time-consuming an...

Non-invasive hemoglobin estimation from conjunctival images using deep learning.

Hemoglobin, a crucial protein found in erythrocytes, transports oxygen throughout the body. Deviatio...

The Role of Artificial Intelligence in Optimizing the Donation Process and Predicting Blood Thresholds.

iCLOTS: open-source, artificial intelligence-enabled software for analyses of blood cells in microfluidic and microscopy-based assays.

While microscopy-based cellular assays, including microfluidics, have significantly advanced over th...

Perioperative and oncological outcomes of robot-assisted laparoscopic partial nephrectomy for cystic and solid renal masses: Evidence from controlled trials.

To evaluate the outcomes of robot-assisted partial nephrectomy (RAPN) for solid and cystic renal tum...

A Comparative Analysis of Various Machine Learning Algorithms to Improve the Accuracy of HbA1c Estimation Using Wrist PPG Data.

Due to the inconvenience of drawing blood and the possibility of infection associated with invasive ...

High-accuracy morphological identification of bone marrow cells using deep learning-based Morphogo system.

Accurate identification and classification of bone marrow (BM) nucleated cell morphology are crucial...

Rapid Quantification of Microvessels of Three-Dimensional Blood-Brain Barrier Model Using Optical Coherence Tomography and Deep Learning Algorithm.

The blood-brain barrier (BBB) is a selective barrier that controls the transport between the blood a...

Comparisons of the Safety and Effectiveness of Robot-Assisted Laparoscopic Partial Nephrectomy for Central Renal Angiomyolipomas: A Propensity Score-Matched Analysis Study.

To compare the safety and effectiveness of robot-assisted partial nephrectomy (RAPN) laparoscopic ...

Bleeding at the root of the inferior mesenteric artery during robotic D3 lymph node dissection for rectal cancer - a video vignette.

Monitoring blood pressure and cardiac function without positioning via a deep learning-assisted strain sensor array.

Continuous and reliable monitoring of blood pressure and cardiac function is of great importance for...

Remote Blood Oxygen Estimation From Videos Using Neural Networks.

Peripheral blood oxygen saturation (SpO ) is an essential indicator of respiratory functionality and...

Identifying the active ingredients of carbonized Typhae Pollen by spectrum-effect relationship combined with MBPLS, PLS, and SVM algorithms.

Typhae Pollen (TP) and its carbonized product (carbonized Typhae Pollen, CTP), as cut-and-dried herb...

Noninvasive blood glucose sensing by secondary speckle pattern artificial intelligence analyses.

SIGNIFICANCE: Diabetes is a prevalent disease worldwide that can cause severe health problems. Accur...

Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary.

Deep learning (DL) is a subdomain of artificial intelligence algorithms capable of automatically eva...

Silk Fibroin Particles as Carriers in the Development of Hemoglobin-Based Oxygen Carriers.

Oxygen therapeutics have a range of applications in transfusion medicine and disease treatment. Synt...

Impact of robotic and open surgery on patient wound complications in gastric cancer surgery: A meta-analysis.

This meta-analysis is intended to evaluate the effect of both robotic and open-cut operations on pos...

Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function.

PURPOSE: In Dynamic contrast-enhanced MRI (DCE-MRI), Arterial Input Function (AIF) has been shown to...

Biophysical Profiling of Sickle Cell Disease Using Holographic Cytometry and Deep Learning.

Sickle cell disease (SCD) is an inherited hematological disorder associated with high mortality rate...