The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Are medical oncologists ready for the artificial intelligence revolution? Evaluation of the opinions, knowledge, and experiences of medical oncologists about artificial intelligence technologies
Abstract
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 reliability and validity analyses were carried out by a pilot study, the main online questionnaire was sent to the members of the "Turkish Society of Medical Oncology" mail group by an invitation e-mail. The anonymized responses of the participants were analyzed. The median age of the 156 participants was 36 (34-43) years and half (51%) were male. Most (45%) were fellows. Forty-six percent were working in university hospitals, 56% were visiting 20-40 patients a day. Medical oncologists' view of AIT was mostly positive (78%). However, some (especially women) had doubts about the reliability of AI (44%) and the establishment of its ethical/legal basis (49%). Sixty-five percent of the participants had no/superficial knowledge about AI. More than half (55%) had never used AI-based applications in their academic or clinical work. However, unlike now, 80% of the participants believed that they would use AIT frequently in their practice in the future and it would be beneficial. The most anticipated (81%) benefit was real-time information processing and real-time access to big data. Sixty-two percent believed that information about AI should be in the education curriculum. The vast majority of respondents (79%) thought that AI would not completely replace medical oncologists in the future. Some differences were found in the perception and experience of oncologists according to age, gender, title, and the number of patients examined per day. About AI, the general opinion of medical oncologists was positive, but their level of knowledge and use was low. However, they thought they would use it frequently in future and needed training.
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“Furthermore, the professionals believe that AI would increase their efficiency in managing medical information and knowledge, by being granted quick access to vast amounts of knowledge with the ability to scan and summarize relevant information effectively with the help of AI [29, 30, 46–49] or being able to handle big-data records in real-time [50, 51].”
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MethodArtificial intelligence in oncology
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Henzler, D., Schmidt, S., Koçar, A., Herdegen, S., Lindinger, G. L., Maris, M. T., Bak, M. A. R., Willems, D. L., Tan, H. L., Lauerer, M., et al. (2025) · BMC Health Services Research · doi:10.1186/s12913-025-12664-2 · Cited by 54
“…c k a cc e ss , s u mm a r i z i n g i n f o r m a t i o n ) [ 29 , 30 , 46 – 49 ] • H a n d l i n g o f b i g d a t a i n r e a l - t i m e [ 50 , 51 ] W o r k i n g w i t h A I • D e c r e a s e t i m e o n r e p e t i t i v e t a s k s ( m e d i c a l , n o n - m e d i c a l ) [ 30 , 40 , 46 ,…”
Al-Ani, A., Rayyan, A., Maswadeh, A., Sultan, H., Alhammouri, A., Asfour, H., Alrawajih, T., Al Sharie, S., Al Karmi, F., Al-Azzam, A. M., et al. (2024) · BMC Medical Ethics · doi:10.1186/s12910-024-01008-0 · Cited by 21
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Erdat, E. C., & Kavak, E. E. (2025) · BMC Cancer · doi:10.1186/s12885-025-13596-0 · Cited by 6
Metadata
- Authors
- Sahin, E.
- ORCID
- Sahin, Elif
- Venue
- Medical Oncology
- Published
- 2023-10-09
- Volume
- 40
- Issue
- 11
- Pages
- 327-327
- ISSN
- 1357-0560 (ISSN-L)
- 1559-131X
- OpenAlex
- W4387439772
- Cited by
- 12
- References
- 26
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 5
- FWCI
- 0.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Medical Oncology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- artificial intelligence, medical oncologists, oncology practice, clinical implementation of AI, artificial intelligence in medical education
- MeSH terms
- Oncologists, Adult, Artificial Intelligence, Female, Humans, Male, Medical Oncology, Pilot Projects, Reproducibility of Results
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