Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
[Retracted] Influential Usage of Big Data and Artificial Intelligence in Healthcare
YC Yang, SU Islam, A Noor, S Khan… - … methods in medicine, 2021 - Wiley Online Library
Artificial intelligence (AI) is making computer systems capable of executing human brain
tasks in many fields in all aspects of daily life. The enhancement in information and …
tasks in many fields in all aspects of daily life. The enhancement in information and …
The use of Big Data Analytics in healthcare
Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new
technologies both in treatment of patients and health management. The paper aims at …
technologies both in treatment of patients and health management. The paper aims at …
Building flexible, scalable, and machine learning-ready multimodal oncology datasets
The advancements in data acquisition, storage, and processing techniques have resulted in
the rapid growth of heterogeneous medical data. Integrating radiological scans …
the rapid growth of heterogeneous medical data. Integrating radiological scans …
The ethical and legal landscape of brain data governance
Neuroscience research is producing big brain data which informs both advancements in
neuroscience research and drives the development of advanced datasets to provide …
neuroscience research and drives the development of advanced datasets to provide …
[HTML][HTML] The academic viewpoint on patient data ownership in the context of big data: sco** review
Background The ownership of patient information in the context of big data is a relatively
new problem, which is not yet fully recognized by the medical academic community. The …
new problem, which is not yet fully recognized by the medical academic community. The …
Artificial intelligence in cancer research: learning at different levels of data granularity
From genome‐scale experimental studies to imaging data, behavioral footprints, and
longitudinal healthcare records, the convergence of big data in cancer research and the …
longitudinal healthcare records, the convergence of big data in cancer research and the …
From cancer big data to treatment: Artificial intelligence in cancer research
In recent years, develo** the idea of “cancer big data” has emerged as a result of the
significant expansion of various fields such as clinical research, genomics, proteomics and …
significant expansion of various fields such as clinical research, genomics, proteomics and …
[HTML][HTML] Statistical and machine learning methods for cancer research and clinical practice: A systematic review
Background Cancer is progressively becoming the most prevalent disease worldwide,
accompanied by significantly increasing investments in research to improve its prevention …
accompanied by significantly increasing investments in research to improve its prevention …
[HTML][HTML] Targeted treatment of head and neck (pre) cancer: preclinical target identification and development of novel therapeutic applications
AM van Harten, RH Brakenhoff - Cancers, 2021 - mdpi.com
Head and neck squamous cell carcinomas (HNSCC) develop in the mucosal lining of the
upper-aerodigestive tract. In carcinogen-induced HNSCC, tumors emerge from …
upper-aerodigestive tract. In carcinogen-induced HNSCC, tumors emerge from …