Hematology

An overview and a roadmap for artificial intelligence in hematology and oncology.

BACKGROUND: Artificial intelligence (AI) is influencing our society on many levels and has broad implications for the future practice of hematology and oncology. However, for many medical professionals and researchers, it often remains unclear what AI can and cannot do, and what are promising areas for a sensible application of AI in hematology and oncology. Finally, the limits and perils of using...

Robotic versus open total pancreatectomy: a systematic review and meta-analysis.

Limited data are available on postoperative outcomes in patients undergoing robotic total pancreatectomy (RTP). This systematic review and meta-analysis aimed to compare the postoperative outcomes of RTP and open total pancreatectomy (OTP). We performed a systematic review with meta-analysis according to the PRISMA 2020 and AMSTAR 2 guidelines. We included studies conducted through August 10, 2022...

Perioperative, functional, and oncologic outcomes of robot-assisted versus open partial nephrectomy for complex renal tumors (RENAL score ≥ 7): an evidence-based analysis.

This study aims to assess the efficacy and safety of robot-assisted partial nephrectomy (RAPN) compared with open partial nephrectomy (OPN) in the man...

Highly Performing Automatic Detection of Structural Chromosomal Abnormalities Using Siamese Architecture.

The detection of structural chromosomal abnormalities (SCA) is crucial for diagnosis, prognosis and management of many genetic diseases and cancers. T...

A Study of 57 Patients with Prostate Cancer to Compare Outcomes of Estimated Blood Loss and Postoperative Pain Between Robot-Assisted Laparoscopic Radical Prostatectomy and Standard Laparoscopic Radical Prostatectomy.

BACKGROUND Robot-assisted radical prostatectomy (RARP) is becoming an increasingly common method for treatment of prostate cancer. This study aimed to...

Comparison between robot-assisted versus open nephroureterectomy for upper tract urothelial carcinoma: outcomes from a pooled analysis.

The present study aimed to compare the efficacy and safety between robot-assisted nephroureterectomy (RANU) and open nephroureterectomy (ONU) for the ...

Non-invasive regional cerebral blood flow quantification in the 123I-IMP autoradiography using artificial neural network.

PURPOSE: Regional cerebral blood flow (rCBF) quantification using 123I-N-isopropyl-p-iodoamphetamine (123I-IMP) requires an invasive, one-time-only ar...

Orthopedic Robot-Assisted Femoral Neck System in the Treatment of Femoral Neck Fracture.

Cannulated screw fixation is the main therapy for femoral neck fractures, especially in young patients. The traditional surgical procedure uses C-arm ...

Effect of pneumatic leg compression on post-induction hypotension in elderly patients undergoing robot-assisted laparoscopic prostatectomy: a double-blind randomised controlled trial.

Post-induction hypotension is common and associated with postoperative complications. We hypothesised that pneumatic leg compression reduces post-indu...

Establishment of extensive artificial intelligence models for kinase inhibitor prediction: Identification of novel PDGFRB inhibitors.

Identifying hit compounds is an important step in drug development. Unfortunately, this process continues to be a challenging task. Several machine le...

Robotic Single-Site Hysterectomy in Gynecologic Benign Pathology: A Systematic Review of the Literature.

Total hysterectomy is one of the most common gynecologic surgical procedures and it is mainly performed for benign pathologies. The introduction of r...

LN-Net: Perfusion Pattern-Guided Deep Learning for Lymph Node Metastasis Diagnosis Based on Contrast-Enhanced Ultrasound Videos.

OBJECTIVE: The blood flow in lymph nodes reflects important pathological features. However, most intelligent diagnosis based on contrast-enhanced ultr...

Digital pathology and artificial intelligence as the next chapter in diagnostic hematopathology.

Digital pathology has a crucial role in diagnostic pathology and is increasingly a technological requirement in the field. Integration of digital slid...

Detection of acute promyelocytic leukemia in peripheral blood and bone marrow with annotation-free deep learning.

While optical microscopy inspection of blood films and bone marrow aspirates by a hematologist is a crucial step in establishing diagnosis of acute le...

Leukocyte deep learning classification assessment using Shapley additive explanations algorithm.

INTRODUCTION: A peripheral blood smear is a basic test for hematological disease diagnosis. This test is performed manually in many places worldwide, ...

Accurate stratification between VEXAS syndrome and differential diagnoses by deep learning analysis of peripheral blood smears.

OBJECTIVES: VEXAS syndrome is a newly described autoinflammatory disease associated with somatic mutations and vacuolization of myeloid precursors. T...

Analyzing angiogenesis on a chip using deep learning-based image processing.

Angiogenesis, the formation of new blood vessels from existing vessels, has been associated with more than 70 diseases. Although numerous studies have...

Accurate intraoperative real-time blood flow assessment of the remnant stomach during robot-assisted distal pancreatectomy with celiac axis resection using indocyanine green fluorescence imaging and da Vinci Firefly technology.

INTRODUCTION: Ischemic gastropathy is one of the unique postoperative complications associated with distal pancreatectomy with celiac axis resection f...

Improved neural network for predicting blood donations based on two emergent factors.

BACKGROUND: Blood donation forecasting is a critical part of blood supply chain management. However, few studies have focused on modeling blood donati...

Do artificial neural networks love sex? How the combination of artificial neural networks with evolutionary algorithms may help to identify gender influence in rheumatic diseases.

Although medical research has been performed predominantly on men both in preclinical and clinical studies, continuous efforts have been made to overc...