Artificial intelligence in clinical research of cancers

D Shao, Y Dai, N Li, X Cao, W Zhao… - Briefings in …, 2022 - academic.oup.com
Several factors, including advances in computational algorithms, the availability of high-
performance computing hardware, and the assembly of large community-based databases …

[HTML][HTML] Applying artificial intelligence for cancer immunotherapy

Z Xu, X Wang, S Zeng, X Ren, Y Yan, Z Gong - Acta Pharmaceutica Sinica …, 2021 - Elsevier
Artificial intelligence (AI) is a general term that refers to the use of a machine to imitate
intelligent behavior for performing complex tasks with minimal human intervention, such as …

[HTML][HTML] Role of artificial intelligence and machine learning in prediction, diagnosis, and prognosis of cancer

K Gaur, MM Jagtap - Cureus, 2022 - ncbi.nlm.nih.gov
Cancer is one of the most devastating, fatal, dangerous, and unpredictable ailments. To
reduce the risk of fatality in this disease, we need some ways to predict the disease …

The application of machine learning in early diagnosis of osteoarthritis: a narrative review

A Xuan, H Chen, T Chen, J Li, S Lu… - Therapeutic …, 2023 - journals.sagepub.com
Osteoarthritis (OA) is the commonest musculoskeletal disease worldwide, with an increasing
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …

The current state of radiomics for meningiomas: promises and challenges

H Gu, X Zhang, P Di Russo, X Zhao, T Xu - Frontiers in oncology, 2020 - frontiersin.org
Meningiomas are the most common primary tumors of the central nervous system. Given the
fact that the majority of meningiomas are benign, the preoperative risk stratification and …

Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis

F Nakhle, AL Harfouche - Patterns, 2021 - cell.com
High-throughput image-based technologies are now widely used in the rapidly developing
field of digital phenomics and are generating ever-increasing amounts and diversity of data …

Deep learning for brain tumor segmentation using magnetic resonance images

S Gupta, M Gupta - 2021 IEEE conference on computational …, 2021 - ieeexplore.ieee.org
Cancer is one of the most significant causes of death worldwide, accounting for millions of
deaths each year. The fatality rate of cancer is getting higher. Over the last three decades …

Development of a fundus image-based deep learning diagnostic tool for various retinal diseases

KM Kim, TY Heo, A Kim, J Kim, KJ Han, J Yun… - Journal of Personalized …, 2021 - mdpi.com
Artificial intelligence (AI)-based diagnostic tools have been accepted in ophthalmology. The
use of retinal images, such as fundus photographs, is a promising approach for the …

Advances in AI‐based cancer cytopathology

Y Yang, S Guan, Z Ou, W Li, L Yan… - Interdisciplinary …, 2023 - Wiley Online Library
Cytopathological examination plays a crucial role in cancer diagnosis as it reflects the
cellular pathology of cancer. However, this process traditionally relies on the visual …

Multi‐needle localization with attention U‐net in US‐guided HDR prostate brachytherapy

Y Zhang, Y Lei, RLJ Qiu, T Wang, H Wang… - Medical …, 2020 - Wiley Online Library
Purpose Ultrasound (US)‐guided high dose rate (HDR) prostate brachytherapy requests the
clinicians to place HDR needles (catheters) into the prostate gland under transrectal US …