AIMC Topic: Medical Oncology
Clear Filters Showing 71 to 80 of 286 articles
Digital Health to Patient-Facing Artificial Intelligence: Ethical Implications and Threats to Dignity for Patients With Cancer.
JCO oncology practice
Nov 3, 2023
Ethical considerations for patient-facing AI for oncology: dignity, autonomy, safety, equity, inclusivity.
Open science practices need substantial improvement in prognostic model studies in oncology using machine learning.
Journal of clinical epidemiology
Oct 28, 2023
OBJECTIVE: To describe the frequency of open science practices in a contemporary sample of studies developing prognostic models using machine learning methods in the field of oncology.
Translation of tissue-based artificial intelligence into clinical practice: from discovery to adoption.
Oncogene
Oct 24, 2023
Digital pathology (DP), or the digitization of pathology images, has transformed oncology research and cancer diagnostics. The application of artificial intelligence (AI) and other forms of machine learning (ML) to these images allows for better inte...
One label is all you need: Interpretable AI-enhanced histopathology for oncology.
Seminars in cancer biology
Oct 11, 2023
Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to benefit oncology through interpretable methods that require only one overall label per hematoxylin and eosin (H&E) slide with no tissue-level annotations. We...
Are medical oncologists ready for the artificial intelligence revolution? Evaluation of the opinions, knowledge, and experiences of medical oncologists about artificial intelligence technologies.
Medical oncology (Northwood, London, England)
Oct 9, 2023
The use of artificial intelligence technologies (AIT) in medicine is increasing worldwide. In this study, it was aimed to evaluate the experiences, opinions, and future expectations of medical oncologists on artificial intelligence (AI). After the re...
Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Clinical oncology (Royal College of Radiologists (Great Britain))
Sep 27, 2023
The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains an...
Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Sep 6, 2023
Digital pathology adoption allows for applying computational algorithms to routine pathology tasks. Our study aimed to develop a clinical-grade artificial intelligence (AI) tool for precise multiclass tissue segmentation in colorectal specimens (rese...
Artificial Intelligence Assists in the Detection of Blood Vessels in Whole Slide Images: Practical Benefits for Oncological Pathology.
Biomolecules
Aug 29, 2023
The analysis of the microvasculature and the assessment of angiogenesis have significant prognostic value in various diseases, including cancer. The search for invasion into the blood and lymphatic vessels and the assessment of angiogenesis are impor...
Global serum profiling: an opportunity for earlier cancer detection.
Journal of experimental & clinical cancer research : CR
Aug 15, 2023
The advances in cancer research achieved in the last 50 years have been remarkable and have provided a deeper knowledge of this disease in many of its conceptual and biochemical aspects. From viewing a tumor as a 'simple' aggregate of mutant cells an...
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