Exploring the current landscape of artificial intelligence in healthcare

N Meenigea, VRK Kolla - International Journal of Sustainable …, 2023 - ijsdcs.com
Artificial intelligence (AI) is revolutionizing the healthcare industry by transforming the way
diseases are diagnosed, treated, and managed. With the exponential growth of healthcare …

Evaluation of antioxidant potential and antimicrobial activity

N Meenigea - Transactions on Latest Trends in Health Sector, 2022 - ijsdcs.com
An increasing demand for natural additives has shifted the attention from synthetic to natural
antioxidants. As leafy vegetables are found to be good source of antioxidants and the …

Leveraging Meta-Heuristics in Improving Health Care Delivery: A Comprehensive Overview

P Whig, S Kouser, AB Bhatia, RR Nadikattu… - Nature-Inspired Methods …, 2023 - Springer
In the face of increasing demand for healthcare services and limited resources, healthcare
systems are struggling to keep up with the pace of technological advancements. To address …

A Comprehensive Review of Mask Detection Using Artificial Intelligence: Methods, Challenges, and Applications

P WHIG - International Journal of Sustainable Development in …, 2023 - ijsdcs.com
Mask detection using artificial intelligence (AI) has gained significant attention in recent
times due to the global COVID-19 pandemic and the importance of mask-wearing in curbing …

In hospital deprescribing in the real world

N Meenigea - Transactions on Latest Trends in Artificial Intelligence, 2022 - ijsdcs.com
In hospital deprescribing is the process of safely reducing or stopping medication use when
it is no longer necessary or potentially harmful. In the real world, successful implementation …

A method using deep learning to forecast Game of Champions results

AKR Nadikattu, VRK Kolla - International Journal of Machine Learning …, 2023 - ijsdcs.com
The gaming genre with the biggest audiences and players globally now is the MOBA game.
League of Legends has recently been recognised as an official sport as one of 37 activities …

Explainable Machine Learning in Healthcare

P Whig, S Kouser, AB Bhatia, RR Nadikattu… - … Machine Learning for …, 2023 - Springer
Abstract Machine learning has several uses in healthcare, including medical diagnosis. The
Wisconsin Breast Cancer Diagnosis (WBCD) dataset is a popular source of information for …

Renewable energy optimization system using fuzzy logic

P Whig, B Bhatia, AB Bhatia, P Sharma - Machine Learning and …, 2023 - Springer
Contrary to the current decline in the use of fossil fuels, the globe is now paying close
attention to the need for energy, global warming, and the ongoing rise in oil prices. Since life …

Gan for augmenting cardiac MRI segmentation

P Whig, P Sharma, RR Nadikattu, AB Bhatia… - GANs for Data …, 2023 - Springer
Heart cine magnetic resonance imaging (CMRI) is the gold standard for evaluating both
cardiac anatomy and function. CMRI data, on the other hand, varies greatly between …

Edge-AI, Machine-Learning, and Deep-Learning Approaches for Healthcare

P Whig, N Jiwani, K Gupta, S Kouser… - Edge-AI in …, 2023 - taylorfrancis.com
Over recent years, we've seen an increase in the use of smart medical devices and IoT
devices, which are drastically altering the way healthcare is delivered throughout the world …