AIMC Topic: Medical Oncology
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HemOnc.org: A Collaborative Online Knowledge Platform for Oncology Professionals.
Journal of oncology practice
Mar 3, 2015
PURPOSE: Cancer care involves extensive knowledge about numerous chemotherapy drugs and chemotherapy regimens. This information is constantly evolving, and there has been no freely available, comprehensive, centralized repository of chemotherapy info...
Knowledge bases, clinical decision support systems, and rapid learning in oncology.
Journal of oncology practice
Feb 24, 2015
One of the most important benefits of health information technology is to assist the cognitive process of the human mind in the face of vast amounts of health data, limited time for decision making, and the complexity of the patient with cancer. Clin...
A natural language processing pipeline for pairing measurements uniquely across free-text CT reports.
Journal of biomedical informatics
Sep 6, 2014
OBJECTIVE: To standardize and objectivize treatment response assessment in oncology, guidelines have been proposed that are driven by radiological measurements, which are typically communicated in free-text reports defying automated processing. We st...
Radiography, Abdominal
Machine Learning
Data Mining
Software
Algorithms
Radiology
Medical Oncology
Radiology Information Systems
Humans
Radiographic Image Interpretation, Computer-Assisted
Computational Biology
Tomography, X-Ray Computed
Natural Language Processing
Reproducibility of Results
Area Under Curve
ROC Curve
Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb.
JMIR cancer
Jun 16, 2025
Digital health interventions offer promise for scalable and accessible health care, but access is still limited by some participatory challenges, especially for disadvantaged families facing limited health literacy, language barriers, low income, or ...
Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology.
PLoS computational biology
Jun 1, 2025
Characterizing cancer presents a delicate challenge as it involves deciphering complex biological interactions within the tumor's microenvironment. Clinical trials often provide histology images and molecular profiling of tumors, which can help under...
Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Jun 1, 2025
The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may allow for real-time modifications based on emergi...
Driving Knowledge to Action: Building a Better Future With Artificial Intelligence-Enabled Multidisciplinary Oncology.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Jun 1, 2025
Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, redefining how clinicians detect, classify, and treat cancer. From earlier and more accurate diagnoses to personalized treatment planning, AI's impact i...
The Limitations of Artificial Intelligence in Head and Neck Oncology.
Advances in therapy
Jun 1, 2025
Artificial intelligence (AI) is revolutionizing head and neck oncology, offering innovations in tumor detection, treatment planning, and patient management. However, its integration into clinical practice is hindered by several limitations. These inc...
Automating Performance Status Annotation in Oncology Using Llama-3.
Studies in health technology and informatics
May 15, 2025
This work explores the automated extraction of medical information from Dutch clinical notes using Llama-3 and a limited amount of annotations. We compared zero-, one- and few-shot learning for the extraction of performance status of patients with pa...
Fake It till You Predict It: Data Augmentation Strategies to Detect Initiation and Termination of Oncology Treatment.
Studies in health technology and informatics
May 15, 2025
At the hospital, the dispersion of information regarding anti-cancer treatment makes it difficult to extract. We proposed a solution capable of identifying dates, drugs and their temporal relationship within free-text oncology reports with very few m...
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