Latest AI and machine learning research in oncology/hematology for healthcare professionals.
PURPOSE: Artificial intelligence can reduce the time used by physicians on radiological assessments....
Extracellular vesicle (EV) molecular phenotyping offers enormous opportunities for cancer diagnostic...
BACKGROUND: This study aims to explore machine learning(ML) methods for non-invasive assessment of W...
Myeloid cell leukemia 1 (Mcl1), a critical protein that regulates apoptosis, has been considered as ...
Cervical abnormal cell detection plays a crucial role in the early screening of cervical cancer. In ...
OBJECTIVES: Opioid nonadherence represents a significant barrier to cancer pain treatment efficacy. ...
Accurate prediction of pneumoconiosis is essential for individualized early prevention and treatment...
Changing a window width (WW) alters appearance of noise and contrast of CT images. The aim of this s...
BACKGROUND: Liver transplantation (LT) is offered as a cure for Hepatocellular carcinoma (HCC), howe...
Osteosarcoma is a primary malignant tumor that commonly affects children and adolescents, with a poo...
Vestibular schwannomas (VS) are the most common tumor of the skull base with available treatment opt...
INTRODUCTION: To utilize machine learning techniques to develop an association model linking lung ca...
OBJECTIVE: To investigate the feasibility and accuracy of predicting locoregional recurrence (LR) in...
BACKGROUND: Efficient and precise diagnosis of non-small cell lung cancer (NSCLC) is quite critical ...
INTRODUCTION: Artificial intelligence (AI)-driven chatbots, capable of simulating human-like convers...
Melanoma is the fifth most common cancer in the United States. Conventional drug discovery methods a...
BACKGROUND: The non-invasive biomarkers for predicting immunotherapy response are urgently needed to...
- This paper presents a comprehensive study focused on breast cancer subtyping, utilizing a multifac...
BACKGROUND AND PURPOSE: Artificial Intelligence (AI) models in radiation therapy are being developed...
Noninvasively and accurately predicting the epidermal growth factor receptor (EGFR) mutation status ...
BACKGROUND: Predicting early recurrence (ER) of hepatocellular carcinoma (HCC) accurately can guide ...