Deep learning for smart Healthcare—A survey on brain tumor detection from medical imaging
M Arabahmadi, R Farahbakhsh, J Rezazadeh - Sensors, 2022 - mdpi.com
Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …
use of technology in medicine has made significant contributions to human society. In this …
Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact …
Z Ahmad, S Rahim, M Zubair, J Abdul-Ghafar - Diagnostic pathology, 2021 - Springer
Abstract Background The role of Artificial intelligence (AI) which is defined as the ability of
computers to perform tasks that normally require human intelligence is constantly …
computers to perform tasks that normally require human intelligence is constantly …
Limitations of transformers on clinical text classification
Bidirectional Encoder Representations from Transformers (BERT) and BERT-based
approaches are the current state-of-the-art in many natural language processing (NLP) …
approaches are the current state-of-the-art in many natural language processing (NLP) …
CORAL: expert-curated oncology reports to advance language model inference
Background Both medical care and observational studies in oncology require a thorough
understanding of a patient's disease progression and treatment history, often elaborately …
understanding of a patient's disease progression and treatment history, often elaborately …
The evolving use of electronic health records (EHR) for research
E Kim, SM Rubinstein, KT Nead… - Seminars in radiation …, 2019 - Elsevier
Electronic health records (EHR) have been implemented successfully in a majority of United
States healthcare systems in some form. There has been a rise in secondary uses of EHR …
States healthcare systems in some form. There has been a rise in secondary uses of EHR …
CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records
Objective Accurate extraction of breast cancer patients' phenotypes is important for clinical
decision support and clinical research. This study developed and evaluated cancer domain …
decision support and clinical research. This study developed and evaluated cancer domain …
[图书][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
[HTML][HTML] Machine learning and deep learning methods that use omics data for metastasis prediction
Knowing metastasis is the primary cause of cancer-related deaths, incentivized research
directed towards unraveling the complex cellular processes that drive the metastasis …
directed towards unraveling the complex cellular processes that drive the metastasis …
Use of natural language processing to extract clinical cancer phenotypes from electronic medical records
Current models for correlating electronic medical records with-omics data largely ignore
clinical text, which is an important source of phenotype information for patients with cancer …
clinical text, which is an important source of phenotype information for patients with cancer …
[HTML][HTML] A data-centric review of deep transfer learning with applications to text data
In recent years, many applications are using various forms of deep learning models. Such
methods are usually based on traditional learning paradigms requiring the consistency of …
methods are usually based on traditional learning paradigms requiring the consistency of …