Evaluation of an artificial intelligence–augmented digital system for histologic classification of colorectal polyps

M Nasir-Moin, AA Suriawinata, B Ren, X Liu… - JAMA Network …, 2021 - jamanetwork.com
Importance Colorectal polyps are common, and their histopathologic classification is used in
the planning of follow-up surveillance. Substantial variation has been observed in …

Text analytics in Bulgarian: An overview and future directions

G Hristova - Cybernetics and Information Technologies, 2021 - sciendo.com
Text analytics is becoming an integral part of modern business and economic research and
analysis. However, the extent to which its application is possible and accessible varies for …

A systematic review of application progress on machine learning-based natural language processing in breast cancer over the past 5 years

C Li, Y Weng, Y Zhang, B Wang - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) has been steadily developing in the medical field in the past few
years, and AI-based applications have advanced cancer diagnosis. Breast cancer has a …

[HTML][HTML] Status and recommendations of technological and data-driven innovations in cancer care: Focus group study

H Kondylakis, C Axenie, D Bastola… - Journal of medical …, 2020 - jmir.org
Background The status of the data-driven management of cancer care as well as the
challenges, opportunities, and recommendations aimed at accelerating the rate of progress …

[PDF][PDF] Feature extraction method from electronic health records in Russia

D Gavrilov, A Gusev, I Korsakov, R Novitsky… - Conference of Open …, 2020 - webiomed.ru
The medical language is the basis of the electronic medical records (EHR), and up to 70
percent of the information in these records were writing in natural language, in the free text …

[HTML][HTML] Polar representation-based cell nucleus segmentation in non-small cell lung cancer histopathological images

W Xiao, Y Jiang, Z Yao, X Zhou, J Lian… - … Signal Processing and …, 2021 - Elsevier
Image segmentation is a major area of interest within the field of medical image analysis and
processing. In the last few decades, cell nucleus segmentation in non-small lung cancer …

Deep learning to extract breast cancer diagnosis concepts

O Solarte-Pabón, M Torrente… - 2022 IEEE 35th …, 2022 - ieeexplore.ieee.org
The wide adoption of electronic health records (EHRs) provides a potential source to
support clinical research. The Bidirectional Encoder Representations from Transformers …

Effective data quality management for electronic medical record data using SMART DATA

S Lee, GH Roh, JY Kim, YH Lee, H Woo… - International Journal of …, 2023 - Elsevier
Objectives In the medical field, we face many challenges, including the high cost of data
collection and processing, difficult standards issues, and complex preprocessing …

Machine learning-based extraction of breast cancer receptor status from bilingual free-text pathology reports

A Pironet, HA Poirel, T Tambuyzer… - Frontiers in Digital …, 2021 - frontiersin.org
As part of its core business of gathering population-based information on new cancer
diagnoses, the Belgian Cancer Registry receives free-text pathology reports, describing …

Adequate effectiveness of ribociclib plus letrozole or fulvestrant in patients with advanced or metastatic hormone receptor-positive, human epidermal growth factor …

M Manova, J Arabadjiev, R Mangaldzhiev… - Biotechnology & …, 2023 - Taylor & Francis
Randomized controlled trials (RCTs) are typically conducted in highly selected patient
populations to ideally demonstrate unconfounded clinical efficacy of a drug. In the real …