AIMC Topic: Breast Neoplasms

Clear Filters Showing 2221 to 2230 of 2382 articles

[Intelligent prediction of HER2 status based on breast histopathology].

Zhonghua bing li xue za zhi = Chinese journal of pathology
To study the association between histopathological features and HER2 overexpression/amplification in breast cancers using deep learning algorithms. A total of 345 HE-stained slides of breast cancer from 2012 to 2018 were collected at the China-Japa...

[Complications of Da Vinci robot thyroid surgery by bilateral axillo-breast approach].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
To evaluate the complications of Da Vinci robotic thyroid surgery by bilateral axillo-breast approach. A retrospective analysis of complications was conducted on 1, 198 cases of Da Vinci robotic thyroid surgery by bilateral axillo-breast approach o...

Artificial Intelligence Improves the Accuracy in Histologic Classification of Breast Lesions.

American journal of clinical pathology
OBJECTIVES: This study evaluated the usefulness of artificial intelligence (AI) algorithms as tools in improving the accuracy of histologic classification of breast tissue.

Independent Validation of a Comprehensive Machine Learning Approach Predicting Survival After Radiotherapy for Bone Metastases.

Anticancer research
BACKGROUND/AIM: The aim of this study was to analyze the survival predictions obtained from a web platform allowing for computation of the so-called Bone Metastases Ensemble Trees for Survival (BMETS). This prediction model is based on a machine lear...

Clinical Databases for Breast Cancer Research.

Advances in experimental medicine and biology
Clinical database is a collection of clinical data related to patients, which can be used for analysis and research. Clinical data can be classified into several categories: patient-related, tumor-related, diagnostics-related, treatment-related, outc...

Deep learning based analysis of sentiment dynamics in online cancer community forums: An experience.

Health informatics journal
Online health communities (OHC) provide various opportunities for patients with chronic or life-threatening illnesses, especially for cancer patients and survivors. A better understanding of the sentiment dynamics of patients in OHCs can help in the ...

Decision support systems for the prediction of lymph node involvement in early breast cancer.

Journal of B.U.ON. : official journal of the Balkan Union of Oncology
The prediction of lymph node involvement represents an important task which could reduce unnecessary surgery and improve the definition of oncological therapies. An artificial intelligence model able to predict it in pre-operative phase requires the ...

Machine Learning Frameworks to Predict Neoadjuvant Chemotherapy Response in Breast Cancer Using Clinical and Pathological Features.

JCO clinical cancer informatics
PURPOSE: Neoadjuvant chemotherapy (NAC) is used to treat locally advanced breast cancer (LABC) and high-risk early breast cancer (BC). Pathological complete response (pCR) has prognostic value depending on BC subtype. Rates of pCR, however, can be va...

Applications of Artificial Intelligence in Breast Imaging.

Radiologic clinics of North America
Artificial intelligence (AI) technology shows promise in breast imaging to improve both interpretive and noninterpretive tasks. AI-based screening triage may help identify normal examinations and AI-based computer-aided detection (AI-CAD) may increas...