Oncology/Hematology

Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer.

PURPOSE OF REVIEW: This review aims to explore the current state of research on the use of artificia...

Predicting the prognosis of lower rectal cancer using preoperative magnetic resonance imaging with artificial intelligence.

BACKGROUND: There are various preoperative treatments that are useful for controlling local or dista...

Initial experience with modified en bloc robot-assisted minimally invasive oesophagectomy for thoracic oesophageal squamous cell carcinoma.

BACKGROUND: The feasibility and safety of en bloc robot-assisted minimally invasive oesophagectomy (...

EBHI: A new Enteroscope Biopsy Histopathological H&E Image Dataset for image classification evaluation.

BACKGROUND AND PURPOSE: Colorectal cancer has become the third most common cancer worldwide, account...

PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images.

Modern computer vision algorithms are based on convolutional neural networks (CNNs), and both end-to...

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 int...

Artificial intelligence for clinical oncology: current status and future outlook.

Deep learning for the ovarian lesion localization and discrimination between borderline and malignant ovarian tumors based on routine MR imaging.

To establish a deep learning (DL) model in differentiating borderline ovarian tumor (BOT) from epith...

A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses.

Primary liver cancer, with the predominant form as hepatocellular carcinoma (HCC), remains a worldwi...

Advanced-stage tongue squamous cell carcinoma: a machine learning model for risk stratification and treatment planning.

BACKGROUND: A significant number of tongue squamous cell carcinoma (TSCC) patients are diagnosed at ...

Neural-Network-Based Immune Optimization Regulation Using Adaptive Dynamic Programming.

This article investigates optimal regulation scheme between tumor and immune cells based on the adap...

Image-based scatter correction for cone-beam CT using flip swin transformer U-shape network.

BACKGROUND: Cone beam computed tomography (CBCT) plays an increasingly important role in image-guide...

Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy.

OBJECTIVES: The accurate prediction of post-hepatectomy early recurrence in patients with hepatocell...

Comparison of oncological and functional outcomes of perineoscopic radical prostatectomy and robot-assisted radical prostatectomy.

The aim of this study is to compare the functional, oncological, and complication outcomes of perine...

Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours.

Lung cancer is one of the most common causes of cancer deaths in the modern world. Screening of lung...

Artificial intelligence for diagnosing neoplasia on digital cholangioscopy: development and multicenter validation of a convolutional neural network model.

BACKGROUND: We aimed to develop a convolutional neural network (CNN) model for detecting neoplastic ...

Robot-assisted versus laparoscopic distal pancreatectomy: a systematic review and meta-analysis including patient subgroups.

BACKGROUND: Robot-assisted distal pancreatectomy (RDP) has been suggested to hold some benefits over...

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 ...

Dental innovations which will influence the oral health care of baby boomers.

From the widespread use of smartphones and tablets to the multitude of applications available, older...

Adaptive fuzzy control of drug delivery in cancer treatment using combination of chemotherapy and antiangiogenic therapy.

This paper introduces the adaptive fuzzy control scheme as a promising control technique for cancer ...

DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics.

Modern oncology offers a wide range of treatments and therefore choosing the best option for particu...