Application of artificial intelligence in pathology: trends and challenges
I Kim, K Kang, Y Song, TJ Kim - Diagnostics, 2022 - mdpi.com
Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …
[HTML][HTML] Computational solutions for spatial transcriptomics
Transcriptome level expression data connected to the spatial organization of the cells and
molecules would allow a comprehensive understanding of how gene expression is …
molecules would allow a comprehensive understanding of how gene expression is …
[HTML][HTML] Artificial intelligence in hematological diagnostics: Game changer or gadget?
W Walter, C Pohlkamp, M Meggendorfer, N Nadarajah… - Blood Reviews, 2023 - Elsevier
The future of clinical diagnosis and treatment of hematologic diseases will inevitably involve
the integration of artificial intelligence (AI)-based systems into routine practice to support the …
the integration of artificial intelligence (AI)-based systems into routine practice to support the …
Artificial intelligence-assisted score analysis for predicting the expression of the immunotherapy biomarker PD-L1 in lung cancer
G Cheng, F Zhang, Y Xing, X Hu, H Zhang… - Frontiers in …, 2022 - frontiersin.org
Programmed cell death ligand 1 (PD-L1) is a critical biomarker for predicting the response to
immunotherapy. However, traditional quantitative evaluation of PD-L1 expression using …
immunotherapy. However, traditional quantitative evaluation of PD-L1 expression using …
ChatGPT as an aid for pathological diagnosis of cancer
S Malik, S Zaheer - Pathology-Research and Practice, 2023 - Elsevier
Diagnostic workup of cancer patients is highly reliant on the science of pathology by means
of cytopathology, histopathology and other ancillary techniques like immunohistochemistry …
of cytopathology, histopathology and other ancillary techniques like immunohistochemistry …
[HTML][HTML] A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges
A substantial body of research has been published in artificial intelligence due to the rising
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …
incidence of skin cancer, the scarcity of specialized healthcare professionals, and rapid …
Deep learning‐based classification and spatial prognosis risk score on whole‐slide images of lung adenocarcinoma
H Ding, Y Feng, X Huang, J Xu, T Zhang… - …, 2023 - Wiley Online Library
Aims Classification of histological patterns in lung adenocarcinoma (LUAD) is critical for
clinical decision‐making, especially in the early stage. However, the inter‐and intraobserver …
clinical decision‐making, especially in the early stage. However, the inter‐and intraobserver …
Adversary-aware multimodal neural networks for cancer susceptibility prediction from multiomics data
Artificial intelligence (AI) systems are increasingly used in health and personalized care.
However, the adoption of data-driven approaches in many clinical settings has been …
However, the adoption of data-driven approaches in many clinical settings has been …
[HTML][HTML] Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
M Tafavvoghi, LA Bongo, N Shvetsov… - Journal of Pathology …, 2024 - Elsevier
Advancements in digital pathology and computing resources have made a significant impact
in the field of computational pathology for breast cancer diagnosis and treatment. However …
in the field of computational pathology for breast cancer diagnosis and treatment. However …
In vivo label-free tissue histology through a microstructured imaging window
Tissue histopathology, based on hematoxylin and eosin (H&E) staining of thin tissue slices,
is the gold standard for the evaluation of the immune reaction to the implant of a biomaterial …
is the gold standard for the evaluation of the immune reaction to the implant of a biomaterial …