A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance

A Masood, K Ahmad - Journal of Cleaner Production, 2021 - Elsevier
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …

Deep learning techniques to diagnose lung cancer

L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …

A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems

A Heidari, D Javaheri, S Toumaj, NJ Navimipour… - Artificial Intelligence in …, 2023 - Elsevier
With an estimated five million fatal cases each year, lung cancer is one of the significant
causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography …

Histopathologic oral cancer prediction using oral squamous cell carcinoma biopsy empowered with transfer learning

A Rahman, A Alqahtani, N Aldhafferi, MU Nasir… - Sensors, 2022 - mdpi.com
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the
most usual cancer in the world, with more than 300,335 deaths every year. The cancerous …

Deep learning for lungs cancer detection: a review

R Javed, T Abbas, AH Khan, A Daud, A Bukhari… - Artificial Intelligence …, 2024 - Springer
Although lung cancer has been recognized to be the deadliest type of cancer, a good
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …

Artificial intelligence technologies for forecasting air pollution and human health: a narrative review

S Subramaniam, N Raju, A Ganesan, N Rajavel… - Sustainability, 2022 - mdpi.com
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …

European Groundshot—addressing Europe's cancer research challenges: a Lancet Oncology Commission

M Lawler, L Davies, S Oberst, K Oliver… - The Lancet …, 2023 - thelancet.com
Cancer research is a crucial pillar for countries to deliver more affordable, higher quality,
and more equitable cancer care. Patients treated in research-active hospitals have better …

Artificial intelligence techniques to predict the airway disorders illness: a systematic review

A Koul, RK Bawa, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …

An effective method for lung cancer diagnosis from ct scan using deep learning-based support vector network

I Shafi, S Din, A Khan, IDLT Díez, RJP Casanova… - Cancers, 2022 - mdpi.com
Simple Summary This study provides an efficient method for lung cancer diagnosis from
computed tomography images and employs deep learning-supported support vector …

Recent advancements in deep learning based lung cancer detection: A systematic review

S Dodia, B Annappa, PA Mahesh - Engineering Applications of Artificial …, 2022 - Elsevier
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …