[HTML][HTML] Artificial intelligence in pharmaceutical technology and drug delivery design

LK Vora, AD Gholap, K Jetha, RRS Thakur, HK Solanki… - Pharmaceutics, 2023 - mdpi.com
Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic
knowledge and provides expedited solutions to complex challenges. Remarkable …

Artificial Intelligence Trust, risk and security management (AI trism): Frameworks, applications, challenges and future research directions

A Habbal, MK Ali, MA Abuzaraida - Expert Systems with Applications, 2024 - Elsevier
Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …

From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing

I Dergaa, K Chamari, P Zmijewski, HB Saad - Biology of sport, 2023 - termedia.pl
Natural language processing (NLP) has been studied in computing for decades. Recent
technological advancements have led to the development of sophisticated artificial …

The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT

K Wach, CD Duong, J Ejdys, R Kazlauskaitė… - … and Economics Review, 2023 - ceeol.com
Objective: The objective of the article is to provide a comprehensive identification and
understanding of the challenges and opportunities associated with the use of generative …

[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks

S Nazir, DM Dickson, MU Akram - Computers in Biology and Medicine, 2023 - Elsevier
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …

Harnessing the power of synthetic data in healthcare: innovation, application, and privacy

M Giuffrè, DL Shung - NPJ digital medicine, 2023 - nature.com
Data-driven decision-making in modern healthcare underpins innovation and predictive
analytics in public health and clinical research. Synthetic data has shown promise in finance …

[HTML][HTML] Bias in artificial intelligence algorithms and recommendations for mitigation

LH Nazer, R Zatarah, S Waldrip, JXC Ke… - PLOS Digital …, 2023 - journals.plos.org
The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such
algorithms may be shaped by various factors such as social determinants of health that can …

[HTML][HTML] The risks of using ChatGPT to obtain common safety-related information and advice

O Oviedo-Trespalacios, AE Peden, T Cole-Hunter… - Safety science, 2023 - Elsevier
ChatGPT is a highly advanced AI language model that has gained widespread popularity. It
is trained to understand and generate human language and is used in various applications …

[HTML][HTML] Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician

AA Theodosiou, RC Read - Journal of Infection, 2023 - Elsevier
Background Artificial intelligence (AI), machine learning and deep learning (including
generative AI) are increasingly being investigated in the context of research and …

Deep learning and artificial intelligence in sustainability: a review of SDGs, renewable energy, and environmental health

Z Fan, Z Yan, S Wen - Sustainability, 2023 - mdpi.com
Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in
driving sustainability across various sectors. This paper reviews recent advancements in AI …