Artificial intelligence in pharmaceutical and healthcare research

SK Bhattamisra, P Banerjee, P Gupta… - Big Data and Cognitive …, 2023 - mdpi.com
Artificial intelligence (AI) is a branch of computer science that allows machines to work
efficiently, can analyze complex data. The research focused on AI has increased …

Translation of AI into oncology clinical practice

I El Naqa, A Karolak, Y Luo, L Folio, AA Tarhini… - Oncogene, 2023 - nature.com
Artificial intelligence (AI) is a transformative technology that is capturing popular imagination
and can revolutionize biomedicine. AI and machine learning (ML) algorithms have the …

Artificial intelligence in cancer research: trends, challenges and future directions

AM Sebastian, D Peter - Life, 2022 - mdpi.com
The World Health Organization (WHO), in their 2022 report, identified cancer as one of the
leading causes of death, accounting for about 16% of deaths worldwide. The Cancer …

An Al-Biruni earth radius optimization-based deep convolutional neural network for classifying monkeypox disease

DS Khafaga, A Ibrahim, ESM El-Kenawy… - Diagnostics, 2022 - mdpi.com
Human skin diseases have become increasingly prevalent in recent decades, with millions
of individuals in developed countries experiencing monkeypox. Such conditions often carry …

Artificial neural networks in contemporary toxicology research

I Pantic, J Paunovic, J Cumic, S Valjarevic… - Chemico-Biological …, 2023 - Elsevier
Artificial neural networks (ANNs) have a huge potential in toxicology research. They may be
used to predict toxicity of various chemical compounds or classify the compounds based on …

Deep learning for medical image-based cancer diagnosis

X Jiang, Z Hu, S Wang, Y Zhang - Cancers, 2023 - mdpi.com
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

[HTML][HTML] Unraveling the ethical enigma: artificial intelligence in healthcare

M Jeyaraman, S Balaji, N Jeyaraman, S Yadav - Cureus, 2023 - ncbi.nlm.nih.gov
The integration of artificial intelligence (AI) into healthcare promises groundbreaking
advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and …

Artificial intelligence in lung cancer imaging: unfolding the future

M Cellina, M Cè, G Irmici, V Ascenti, N Khenkina… - Diagnostics, 2022 - mdpi.com
Lung cancer is one of the malignancies with higher morbidity and mortality. Imaging plays
an essential role in each phase of lung cancer management, from detection to assessment …

Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?

H Evans, D Snead - Histopathology, 2024 - Wiley Online Library
Artificial intelligence (AI)‐based diagnostic tools can offer numerous benefits to the field of
histopathology, including improved diagnostic accuracy, efficiency and productivity. As a …

[HTML][HTML] A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules

B Hunter, M Chen, P Ratnakumar, E Alemu, A Logan… - …, 2022 - thelancet.com
Background Large lung nodules (≥ 15 mm) have the highest risk of malignancy, and may
exhibit important differences in phenotypic or clinical characteristics to their smaller …