Unlocking the potential of future version 3D food products with next generation microalgae blue protein integration: A review

B Bisht, JPS Begum, AA Dmitriev, A Kurbatova… - Trends in Food Science …, 2024 - Elsevier
Background Decreasing land assets as a result of global population growth present
significant obstacles to food security. Aquatic foods, also referred to as blue foods, harvested …

Brain tumor image segmentation via asymmetric/symmetric UNet based on two-pathway-residual blocks

M Aghalari, A Aghagolzadeh, M Ezoji - Biomedical signal processing and …, 2021 - Elsevier
Early diagnosis and selection of an appropriate treatment method will increase the survival
of cancer patients. Accurate and reliable brain tumor segmentation is an important …

Can children and artificial intelligence be sources of ideas for school meal preparations based on whole food utilization?

F Goulart, V Sant'Anna, VL Almli, GT Maschio - Food Quality and …, 2025 - Elsevier
Involving children in creation of school meals is important to engage them on healthy and
sustainable eating habits, and the whole food utilization is a way to avoid food waste and …

Medical applications of artificial intelligence (legal aspects and future prospects)

VA Laptev, IV Ershova, DR Feyzrakhmanova - Laws, 2021 - mdpi.com
Background: Cutting-edge digital technologies are being actively introduced into healthcare.
The recent successful efforts of artificial intelligence in diagnosing, predicting and studying …

The Impact of Artificial Intelligence on Microbial Diagnosis

A Alsulimani, N Akhter, F Jameela, RI Ashgar, A Jawed… - Microorganisms, 2024 - mdpi.com
Traditional microbial diagnostic methods face many obstacles such as sample handling,
culture difficulties, misidentification, and delays in determining susceptibility. The advent of …

[HTML][HTML] FiboNeXt: Investigations for Alzheimer's Disease detection using MRI

T Tuncer, S Dogan, A Subasi - Biomedical Signal Processing and Control, 2025 - Elsevier
Background Deep learning models are currently at the forefront of machine learning.
Researchers have proposed and used various deep-learning models. In this research, our …

Towards a knowledge graph-based explainable decision support system in healthcare

E Rajabi, K Etminani - Public Health and Informatics, 2021 - ebooks.iospress.nl
The decisions derived from AI-based clinical decision support systems should be
explainable and transparent so that the healthcare professionals can understand the …

Medical Applications of Artificial Intelligence (Legal Aspects and Future Prospects)

VA Laptev, IV Ershova, DR Feyzrakhmanova - Laws, 2022 - HeinOnline
Background: Cutting-edge digital technologies are being actively introduced into healthcare.
The recent successful efforts of artificial intelligence in diagnosing, predicting and studying …

Investigating AI in Medical Devices: The Need for Better Establishment of Risk-Assessment and Regulatory Foundations

S Baum, K Manikas - International Conference on Pervasive Computing …, 2024 - Springer
Artificial intelligence (AI) has the potential to revolutionize healthcare in the EU by
addressing challenges, such as shortages of healthcare personnel and more effective …

Hybrid Machine Learning Application in Alzheimer's Disease Diagnosis through Magnetic Resonance Images

R Chettouh, A Bengana… - 2024 8th International …, 2024 - ieeexplore.ieee.org
The Alzheimer's Disease (AD) is a progressive incurable neurodegenerative disease and
one of the most challenging health problems that scientists are facing since decades …