Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: This study aimed to compare the incidence of lower extremity lymphedema in patients with uterine cancer after robotic staging using the following 2 methods: standard and selective pelvic lymphadenectomy.
The promise of personalized medicine will require rigorously validated molecular diagnostics developed on minimally invasive, clinically relevant samples. Measurement of DNA mutations is increasingly common in clinical settings but only higher-prevalence mutations are cost-effective. Patients with rare variants are at best ignored or, at worst, misdiagnosed. Mutations result in downstream impacts ...
This paper reports the design and development of a novel millimeter-sized robotic system for targeted therapy. The proposed medical robot is conceived...
Among the chemometric tools used in rational drug design, we find artificial neural network methods (ANNs), a statistical learning algorithm similar t...
Radical cystectomy is the standard method for treatment of muscle-invasive and locally advanced bladder cancer. Several less invasive approaches have ...
The worldwide incidence of melanoma is rising faster than any other cancer, and prognosis for patients with metastatic disease is poor. Current target...
Breast cancer is the second most common cancer in the world. Currently, there are no effective methods to prevent this disease. However, early diagnos...
Lung cancer is the most common malignant lesion and the principal cause of cancer-related death worldwide. This problem encourages researchers to buil...
The management of follow-up recommendations is fundamental for the appropriate care of patients with incidental pulmonary findings. The lack of commun...
This work develops an automated classifier of pathology reports which infers the topography and the morphology classes of a tumor using codes from the...
The goal of our study is to establish methodological guidelines for the formulation of definitions in biomedical ontologies thatare not so common in t...
Different groups of audiences in health care: health professionals and health consumers, each have different information needs. Health monographs targ...
A clinical decision support system is able to provide oncologists with suitable treatment options at the moment of decision making regarding which che...
We present a new genetic filter to identify a predictive gene subset for cancer-type classification on gene expression profiles. This approach pursues...
Support vector machine (SVM) is one of the most effective classification methods for cancer detection. The efficiency and quality of a SVM classifier ...
Endometrial cancer is the most common malignancy of the female genital tract in developed countries and second to cervical cancer in India. Endometria...
Mammography, scintimammography and ultrasound images have been used to increase the specificity of breast cancer image diagnosis. Concerning breast ca...
Breast cancer is one of the leading cancers worldwide. Precision medicine is a new trend that systematically examines molecular and functional genomic...
Head and Neck cancer can be treated by non-surgical or surgical modalities. Current surgical techniques include open surgery and transoral resections....
Over the past decade, the development of transoral robotic surgery (TORS) brought a new opportunity in the treatment of early T-stage oropharyngeal sq...