Does artificial intelligence provide value for money in oncology care? A personal perspective

Artificial intelligence (AI) in healthcare holds the promise of more accurate, efficient, and accessible healthcare. In the field of oncology, we experience rapidly evolving possibilities with AI. This paper describes recent insights into the potential benefits of AI at four levels of the health production model: 1. health promotion; 2. early detection and screening; 3. treatment and follow-up; and 4. patient support. The scientific literature points to the (potential) benefits of AI at all of these levels, but also to its pitfalls. It is thereby striking that there is still an important shortage of real-world studies demonstrating the added value of AI, in terms of effectiveness, as well as the way it is embedded in healthcare processes and its impact on human interaction and human–machine interaction. In addition, the evidence regarding the value for money of AI in oncology is very limited. Hence, the potential of AI should be leveraged, and more efforts should be made to systematically allow for assessing its real added value and value for money in the field of oncology.

Authors

Institutions

Publication Details

Journal
Academia oncology.
Published
2026-04-02
DOI
https://doi.org/10.20935/acadonco8235
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does artificial intelligence provide value for money in oncology care? A personal perspective

Lieven Annemans
Academia oncology.
Artificial Intelligence in Healthcare and Education
article

Does artificial intelligence provide value for money in oncology care? A personal perspective

Lieven Annemans
article en

Abstract

Artificial intelligence (AI) in healthcare holds the promise of more accurate, efficient, and accessible healthcare. In the field of oncology, we experience rapidly evolving possibilities with AI. This paper describes recent insights into the potential benefits of AI at four levels of the health production model: 1. health promotion; 2. early detection and screening; 3. treatment and follow-up; and 4. patient support. The scientific literature points to the (potential) benefits of AI at all of these levels, but also to its pitfalls. It is thereby striking that there is still an important shortage of real-world studies demonstrating the added value of AI, in terms of effectiveness, as well as the way it is embedded in healthcare processes and its impact on human interaction and human–machine interaction. In addition, the evidence regarding the value for money of AI in oncology is very limited. Hence, the potential of AI should be leveraged, and more efforts should be made to systematically allow for assessing its real added value and value for money in the field of oncology.

Academia oncology.Vol. 3(2)
HOGENT University of Applied Sciences and Arts (BE), Ghent University Hospital (BE), Ghent University (BE)
Openalex Percentile: Top 6%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Does artificial intelligence provide value for money in oncology care? A personal perspective — Lieven Annemans · Academia oncology. (2026) | TGRS Research Map | TGRS