[HTML][HTML] Adoption of artificial intelligence in smart cities: A comprehensive review

H Herath, M Mittal - International Journal of Information Management Data …, 2022 - Elsevier
Recently, the population density in cities has increased at a higher pace. According to the
United Nations Population Fund, cities accommodated 3.3 billion people (54%) of the global …

Machine-learning-based disease diagnosis: A comprehensive review

MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arXiv preprint arXiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

R Aggarwal, V Sounderajah, G Martin, DSW Ting… - NPJ digital …, 2021 - nature.com
Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …

Data-driven machine learning in environmental pollution: gains and problems

X Liu, D Lu, A Zhang, Q Liu, G Jiang - Environmental science & …, 2022 - ACS Publications
The complexity and dynamics of the environment make it extremely difficult to directly predict
and trace the temporal and spatial changes in pollution. In the past decade, the …

The ethics of AI in health care: a mapping review

J Morley, CCV Machado, C Burr, J Cowls, I Joshi… - Social Science & …, 2020 - Elsevier
This article presents a mapping review of the literature concerning the ethics of artificial
intelligence (AI) in health care. The goal of this review is to summarise current debates and …

Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

MJ Iqbal, Z Javed, H Sadia, IA Qureshi, A Irshad… - Cancer cell …, 2021 - Springer
Artificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive
abilities and to address difficult healthcare challenges including complex biological …

Artificial intelligence-powered electronic skin

C Xu, SA Solomon, W Gao - Nature machine intelligence, 2023 - nature.com
Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …