Knowledge Tree
oncology
Also known as: AI-oncology
Facts (14)
Sources
Construction and Evaluation of an "AI+Knowledge Graph" Teaching ... researchsquare.com 4 facts
measurementThe formative assessment (usual score) for the oncology course was evaluated across three dimensions: Learning and Thinking (24%), Collaboration and Innovation (10%), and Diagnosis and Summary (16%).
procedureThe oncology teaching course utilized a combined assessment model consisting of a formative assessment (usual score) and a summative assessment (final exam score).
measurementThe oncology teaching course structure consisted of 40-minute lessons, scheduled twice weekly over a total teaching period of 16 weeks.
claimThe oncology teaching course described in the study delivered content including foundational oncology theory, etiology and pathogenesis from Chinese and Western medical perspectives, pattern differentiation, and therapeutic principles.
Cancer survivorship and long-term outcomes: navigating the ... sci-rep.com Oct 23, 2024 3 facts
claimAdvancements in early detection and treatment have increased the number of cancer survivors, shifting the focus of oncology toward the long-term health and well-being of these individuals.
claimAdvancements in early detection and treatment have increased the number of cancer survivors, shifting the focus of oncology toward the long-term health and well-being of these individuals.
claimAdvancements in early detection and treatment have increased the number of cancer survivors, shifting the focus of oncology toward the long-term health and well-being of these individuals.
A Double-Edged Sword: Inflammation and Your Health - Cedars-Sinai cedars-sinai.org Feb 12, 2021 1 fact
claimCedars-Sinai scientists across disciplines including cardiology, endocrinology, neurology, and oncology are researching the role of inflammation in various organ systems and disease states to develop targeted treatments.
Targeted Therapy and Personalized Medicine - PubMed pubmed.ncbi.nlm.nih.gov 1 fact
claimModern oncology has shifted from an organ-centric strategy to a personalized strategy guided by deep molecular analysis of tumors.
Medical Hallucination in Foundation Models and Their Impact on ... medrxiv.org Nov 2, 2025 1 fact
measurementIn oncology applications, semantic prompt enrichment resulted in 29% fewer TNM classification errors in staging reports when ontology-enriched prompts specified histological grading criteria.
Top Oncology Innovations That Shaped the First Half of 2025 binaytara.org Jul 21, 2025 1 fact
claimResearchers in the AI-oncology field face challenges such as the requirement for large, high-quality datasets, variability in imaging quality, difficulties integrating AI tools into clinical workflows, and concerns regarding the transparency and explainability of AI-driven recommendations.
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 1 fact
claimHybrid formalisms that blend production rules with neural computation, as well as transparent architectures like the discretized interpretable multilayer perceptron (DIMLP), are used to explain machine learning model predictions in high-stakes domains like oncology and radiology.
Physical and Psychological Long-Term and Late Effects of ... eurekamag.com 1 fact
referenceBoyajian, R.N. authored 'Overview of physical long-term/late effects', published in Oncology in 2008.
Medical Hallucination in Foundation Models and Their ... medrxiv.org Mar 3, 2025 1 fact
claimThe authors conducted experimental analyses on medical hallucinations using state-of-the-art Large Language Models including o3-mini, Gemini-2.0 Flash Thinking, and domain-specific models such as Meditron and Med-Alpaca across general practice, oncology, cardiology, and medical education scenarios.