Back to search

Article

Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

2025-02-06

Abstract excerpt

<h4>Background and Objective</h4> Decisions on the best available treatment in clinical oncology are based on expert opinions in multidisciplinary cancer conferences (MCC). Artificial intelligence (AI) could increase evidence-based treatment by generating additional treatment recommendations (TR). We aimed to develop such an AI system for urothelial carcinoma (UC) and renal cell carcinoma (RCC). <h4>Methods</h4> C...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7fe7066e-7713-507f-9370-517ae95cfc5f
DOI
10.1101/2025.02.03.25321592
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferencesDOI 10.1101/2025.02.03.25321592
Explainable artificial intelligence in prostate cancer treatment recommendation: A decision support system for oncological expert panelsSemantic proximity
Artificial Intelligence (AI) Assisted Decision Making in Malignant Pleural Mesothelioma: A Comparative Study of AI ResponsesSemantic proximity
Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligenceSemantic proximity
An Explainable machine learning model for predicting response to targeted therapy and immunotherapy in advanced hepatocellular carcinoma: a multicentric studySemantic proximity
Multimodal artificial intelligence for personalized hepatocellular carcinoma treatment strategy selectionSemantic proximity
Explainable AI for the Prediction of Anticancer Drug Resistance Mechanisms in Human CancersSemantic proximity
Knowledge-Driven Neuro-Symbolic Reasoning for Personalized Oncology Treatment Recommendation Based on Multi-Modal Medical Knowledge GraphSemantic proximity
Modification and Validation of the System Causability Scale Using AI-Based Therapeutic Recommendations for Urological Cancer Patients: A Basis for the Development of a Prospective Comparative StudySemantic proximity
Design and implementation of an intelligent framework for supporting evidence-based treatment recommendations in precision oncologySemantic proximity
Artificial Intelligence in Relation to Accurate Information and Tasks in Gynecologic Oncology and Clinical Medicine – Dunning-Kruger Effects and UltracrepidarianismSemantic proximity
Applications of Artificial Intelligence in clinical decision-making and technical support in Oncology: A Scoping Review protocolSemantic proximity
Artificial Intelligence in Healthcare: 2025 Year in ReviewSemantic proximity
Select a neighboring publication to make it the new centre.