Latest AI and machine learning research in oncology/hematology for healthcare professionals.
INTRODUCTION: Creating interoperable clinical data models in FHIR is essential but often labor-inten...
Data-driven such as machine learning models in rare disease research faces a significant challenge: ...
To explore the potential of ontologies in improving adverse event identification, we developed ontol...
This study focuses on AI-based quantification of socioeconomic disparities within society. Specifica...
OBJECTIVES: To compare MR image-based synthetic CT (sCT) with conventional CT for computer-assisted ...
Cancer is a heterogeneous disease, with numerous subtypes differing in molecular profiles, risk fact...
BACKGROUND: N4-acetylcytidine (ac4C) is an emerging post-transcriptional RNA modification implicated...
Computed tomography colonography, also known as virtual colonoscopy, is a minimally invasive imaging...
Hyperbaric oxygen therapy is established for decompression illness, carbon monoxide poisoning, radia...
Biliary tract cancer (BTC) is typically diagnosed at an advanced stage due to the lack of effective ...
BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Nare...
BACKGROUND: De-escalation after transoral surgery (TOS) for HPV-related oropharyngeal squamous cell ...
BACKGROUND: Circadian clock disruption has emerged as a relevant axis in cancer; however, the expres...
Pancreatic cancer is a rare kind of cancer that is detected during the final stages. This is because...
Accurate recognition and classification of severity level of brain tumor (BT) is essential for clini...
Inherited genetic variation can weaken the ability of the immune system to detect and eliminate mali...
Pancreatic ductal adenocarcinoma (PDAC) presents as a cancer with an especially poor prognosis, larg...
Deep learning models for brain tumor diagnosis often lack interpretability beyond qualitative visual...
Benzo[a]pyrene (BaP), a polycyclic aromatic hydrocarbon from tobacco smoke, exhaust, and pollutants,...
Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell...
AIMS: To evaluate the feasibility, appropriate relevance and impact on turnaround time (TAT) of an A...