Artificial intelligence and pathomics: prostate cancer

PA Moghadam, A Bashashati… - Urologic …, 2024 - urologic.theclinics.com
Since the introduction of the hematoxylin and eosin (H&E)-stained slide in 1876 as the
primary tool in the pathologist's toolbox up until the last decade, few tools, other than the …

[HTML][HTML] Investigation and benchmarking of U-Nets on prostate segmentation tasks

S Bhandary, D Kuhn, Z Babaiee, T Fechter… - … Medical Imaging and …, 2023 - Elsevier
In healthcare, a growing number of physicians and support staff are striving to facilitate
personalized radiotherapy regimens for patients with prostate cancer. This is because …

[HTML][HTML] Digital pathology: transforming diagnosis in the digital age

N Kiran, FNU Sapna, FNU Kiran, D Kumar, FNU Raja… - Cureus, 2023 - ncbi.nlm.nih.gov
In the context of rapid technological advancements, the narrative review titled" Digital
Pathology: Transforming Diagnosis in the Digital Age" explores the significant impact of …

Histopathological image analysis for oral squamous cell carcinoma classification using concatenated deep learning models

I Amin, H Zamir, FF Khan - MedRxiv, 2021 - medrxiv.org
Oral squamous cell carcinoma (OSCC) is a subset of head and neck squamous cell
carcinoma (HNSCC), the 7th most common cancer worldwide, and accounts for more than …

Prediction of gastric cancer by machine learning integrated with mass spectrometry-based N-glycomics

DB Demirhan, H Yılmaz, H Erol, HM Kayili, B Salih - Analyst, 2023 - pubs.rsc.org
Early and accurate diagnosis of gastric cancer is vital for effective and targeted treatment. It
is known that glycosylation profiles differ in the cancer tissue development process. This …

Artificial intelligence to improve antibiotic prescribing: a systematic review

D Amin, N Garzόn-Orjuela, A Garcia Pereira… - Antibiotics, 2023 - mdpi.com
Introduction: The use of antibiotics leads to antibiotic resistance (ABR). Different methods
have been used to predict and control ABR. In recent years, artificial intelligence (AI) has …

Multidimensional indicators to identify emerging technologies: Perspective of technological knowledge flow

M Jiang, S Yang, Q Gao - Journal of Informetrics, 2024 - Elsevier
The identification of emerging technologies (ETs) is pivotal for advancing technological
innovation. However, current methods fail to sufficiently clarify ETs' innovation mechanisms …

Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application: Synergizing Deep Learning Models, Multimodal Data, and Insights …

A Singh, S Randive, A Breggia, B Ahmad, R Christman… - Cancers, 2023 - mdpi.com
Simple Summary Prostate cancer is a significant cause of male cancer-related deaths in the
US. Checking how severe the cancer is helps in planning treatment. Modern AI methods are …

Introducing image classification efficacies

G Shao, L Tang, H Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
Accuracy assessment is essential in all image classification-related fields, ranging from
molecular imaging to earth observation. However, existing accuracy metrics are too …

How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study

H King, B Williams, D Treanor… - Journal of the American …, 2023 - academic.oup.com
Objective There is increasing interest in using artificial intelligence (AI) in pathology to
improve accuracy and efficiency. Studies of clinicians' perceptions of AI have found only …