Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

RO Alabi, O Youssef, M Pirinen, M Elmusrati… - Artificial intelligence in …, 2021 - Elsevier
Background Oral cancer can show heterogenous patterns of behavior. For proper and
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 …

The use of Big Data Analytics in healthcare

K Batko, A Ślęzak - Journal of big Data, 2022 - Springer
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 …

Building flexible, scalable, and machine learning-ready multimodal oncology datasets

A Tripathi, A Waqas, K Venkatesan, Y Yilmaz, G Rasool - Sensors, 2024 - mdpi.com
The advancements in data acquisition, storage, and processing techniques have resulted in
the rapid growth of heterogeneous medical data. Integrating radiological scans …

The ethical and legal landscape of brain data governance

P Ochang, BC Stahl, D Eke - PLoS One, 2022 - journals.plos.org
Neuroscience research is producing big brain data which informs both advancements in
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

M Mirchev, I Mircheva, A Kerekovska - Journal of Medical Internet Research, 2020 - jmir.org
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 …

Artificial intelligence in cancer research: learning at different levels of data granularity

D Cirillo, I Núñez‐Carpintero, A Valencia - Molecular Oncology, 2021 - Wiley Online Library
From genome‐scale experimental studies to imaging data, behavioral footprints, and
longitudinal healthcare records, the convergence of big data in cancer research and the …

From cancer big data to treatment: Artificial intelligence in cancer research

Danishuddin, S Khan, JJ Kim - The journal of gene medicine, 2024 - Wiley Online Library
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 …

[HTML][HTML] Statistical and machine learning methods for cancer research and clinical practice: A systematic review

L Lopez-Perez, E Georga, C Conti, V Vicente… - … Signal Processing and …, 2024 - Elsevier
Background Cancer is progressively becoming the most prevalent disease worldwide,
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 …