Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Rapidly developing single-cell sequencing analyses produce more comprehensive profiles of the genomi...
PURPOSE: The primary objective of this work was to implement and evaluate a cardiac atlas-based auto...
IMPORTANCE: Postoperative chemoradiation is the standard of care for cancers with positive margins o...
Laser Raman spectroscopy (LRS) is a highly specific biomolecular technique which has been shown to h...
We report a systematic analysis of the DNA methylation variability in 1,595 samples of normal cell s...
BACKGROUND: Society consensus guidelines are commonly used to guide management of pancreatic cystic ...
Distant recurrence of breast cancer results in high lifetime risks and low 5-year survival rates. Ea...
BACKGROUND: Acute Lymphoblastic Leukemia (ALL) is the most common blood disease in children and is r...
BACKGROUND: Brain tumors are life-threatening, and their early detection is crucial for improving su...
Breast cancer is the most common cancer in women. Early diagnosis improves outcome and survival, whi...
Accurate delineation of the intraprostatic gross tumor volume (GTV) is a prerequisite for treatment ...
To compare surgical, oncologic, functional outcomes and complication rate between intracorporeal ne...
Synchronous cancers should be first evaluated at high-volume referral oncological centers. Multidisc...
Cancer patient classification using predictive biomarkers for anti-cancer drug responses is essentia...
The successful translation of artificial intelligence (AI) applications into clinical cancer care pr...
The American Cancer Society expected to diagnose 276,480 new cases of invasive breast cancer in the ...
PURPOSE: Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the color...
Recently, there has been great interest in developing Artificial Intelligence (AI) enabled computer-...
Machine learning techniques are widely used nowadays in the healthcare domain for the diagnosis, pro...
PURPOSE: We used five machine-learning algorithms to predict cancer-specific mortality after surgica...
PURPOSE: To develop a biological dose prediction model considering tissue bio-reactions in addition ...