[HTML][HTML] Artificial intelligence in pancreatic cancer

B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

Shifting the cancer screening paradigm: the rising potential of blood-based multi-cancer early detection tests

T Brito-Rocha, V Constâncio, R Henrique, C Jerónimo - Cells, 2023 - mdpi.com
Cancer remains a leading cause of death worldwide, partly owing to late detection which
entails limited and often ineffective therapeutic options. Most cancers lack validated …

Artificial intelligence in oncology: current capabilities, future opportunities, and ethical considerations

JT Shreve, SA Khanani, TC Haddad - American Society of Clinical …, 2022 - ascopubs.org
The promise of highly personalized oncology care using artificial intelligence (AI)
technologies has been forecasted since the emergence of the field. Cumulative advances …

[HTML][HTML] Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey

Z Ahmed, KK Bhinder, A Tariq, MJ Tahir… - Annals of Medicine and …, 2022 - Elsevier
Abstract Background The use of Artificial intelligence (AI) has gained popularity during the
last few decades and its use in medicine is increasing globally. Developing countries like …

Principles of seed banks and the emergence of complexity from dormancy

JT Lennon, F den Hollander… - Nature …, 2021 - nature.com
Across the tree of life, populations have evolved the capacity to contend with suboptimal
conditions by engaging in dormancy, whereby individuals enter a reversible state of reduced …

[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond

M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …

Artificial intelligence performance in image-based ovarian cancer identification: A systematic review and meta-analysis

HL Xu, TT Gong, FH Liu, HY Chen, Q Xiao, Y Hou… - …, 2022 - thelancet.com
Background Accurate identification of ovarian cancer (OC) is of paramount importance in
clinical treatment success. Artificial intelligence (AI) is a potentially reliable assistant for the …

Generative adversarial networks in medicine: important considerations for this emerging innovation in artificial intelligence

PS Paladugu, J Ong, N Nelson, SA Kamran… - Annals of biomedical …, 2023 - Springer
The advent of artificial intelligence (AI) and machine learning (ML) has revolutionized the
field of medicine. Although highly effective, the rapid expansion of this technology has …

The three dimensional dosimetry imaging for automated eye cancer classification using transfer learning model

MA Mohammed, VA Mohammed… - 2023 14th …, 2023 - ieeexplore.ieee.org
Computer vision methods utilizing transfer learning can offer a promising approach for
automated eye cancer diagnosis with three-dimensional dosimetry imaging. The latest …

[HTML][HTML] Prediction of metastatic pheochromocytoma and paraganglioma: a machine learning modelling study using data from a cross-sectional cohort

C Pamporaki, AMA Berends, A Filippatos… - The Lancet Digital …, 2023 - thelancet.com
Background Pheochromocytomas and paragangliomas have up to a 20% rate of metastatic
disease that cannot be reliably predicted. This study prospectively assessed whether the …