Latest AI and machine learning research in oncology/hematology for healthcare professionals.
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monit...
Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it mu...
There is a currently an unmet need for non-invasive methods to predict the risk of esophageal squamo...
With the incorporation of immune checkpoint inhibitors into the treatment of endometrial cancer (EC)...
Vision-language artificial intelligence models (VLMs) possess medical knowledge and can be employed ...
Machine learning and its specialized forms, such as Artificial Neural Networks and Convolutional Neu...
INTRODUCTION: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors globally. Ma...
BACKGROUND CONTEXT: Survival prediction models for patients with spinal metastases may inform patien...
Skin cancer is recognized as one of the most harmful cancers worldwide. Early detection of this canc...
This review examines the application of natural language processing (NLP) techniques in cancer resea...
This review aims to provide an up-to-date overview of the utility of artificial intelligence (AI) in...
PURPOSE: This multicenter study aimed to develop and validate a multiscale deep learning radiomics n...
Malignant gliomas, including glioblastoma, are amongst the most aggressive primary brain tumours, ch...
This paper introduces SkinWiseNet (SWNet), a deep convolutional neural network designed for the dete...
Cervical cancer is one of the most commonly diagnosed cancers worldwide, and it is particularly prev...
Compared with histological examination of lung cancer, cytology is less invasive and provides better...
Accurately and swiftly segmenting breast tumors is significant for cancer diagnosis and treatment. U...
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical res...
Tumor cellularity (TC) in lung adenocarcinoma slides submitted for molecular testing is important in...
Mismatch repair deficiency (dMMR), also known as high-grade microsatellite instability (MSI-H), is a...
OBJECTIVES: To evaluate the efficiency of super-resolution deep-learning reconstruction (SR-DLR) opt...