Evaluation of the INCISIVE services in cancer imaging: a feasibility study

Lithin Zacharias; Iman Hesso; Reem Kayyali; Andreas Charalambous; Elizabeth Katherine Anna Triumbari; Ioanna Chouvarda; Tatjana Loncar-Turukalo; Stavros Sykiotis; Chrysostomos Symvoulidis; Alberto Gutierrez-Torre; Dimitrios K. Nasikas; Magdalena Kogut–Czarkowska; Yiannis Roussakis; Christodoulou Maria; Liontou Maria; Susanna Ausso Trias; Didier Domínguez Herrera; Olga Tsave; Antonio Alcaraz; Dimitris Fotopoulos; Kristis Vevis; Lourdes Mengual; Nikolaos Doulamis; Nikša Jakovljević; Papagiannis George; Papalla Diana; Stefanos Finitsis; Tarek Ajami; Vasilakou Evanthia; Vladan Zdravkovic; Shereen Nabhani-Gebara

doi:10.1016/j.soncn.2025.152088

Evaluation of the INCISIVE services in cancer imaging: a feasibility study

Lithin Zacharias
, Iman Hesso
, Reem Kayyali
, Andreas Charalambous
, Elizabeth Katherine Anna Triumbari
, Ioanna Chouvarda
, Tatjana Loncar-Turukalo
, Stavros Sykiotis
, Chrysostomos Symvoulidis
, Alberto Gutierrez-Torre
, Dimitrios K. Nasikas
, Magdalena Kogut–Czarkowska
, Yiannis Roussakis
, Christodoulou Maria
, Liontou Maria
, Susanna Ausso Trias
, Didier Domínguez Herrera
, Olga Tsave
, Antonio Alcaraz
, Dimitris Fotopoulos

Kristis Vevis, Lourdes Mengual, Nikolaos Doulamis, Nikša Jakovljević, Papagiannis George, Papalla Diana, Stefanos Finitsis, Tarek Ajami, Vasilakou Evanthia, Vladan Zdravkovic, Shereen Nabhani-Gebara

Cyprus University of Technology
University of Rome Tor Vergata
IRCCS Fondazione Policlinico San Matteo - Pavia
Aristotle University of Thessaloniki
University of Novi Sad
National Technical University of Athens
Telesto IoT Solutions
Barcelona Supercomputing Center
Hellenic Cancer Society, Athens
Timelex BV/SRL
German Oncology Center
Generalitat de Catalunya
Fundacio Ticsalut
University of Barcelona
Hospital Clinic de Barcelona
Institute of Communication and Computer Systems
Manufacturing Trade and Services Company

Research output: Contribution to journal › Article › peer-review

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Abstract

Objectives

To assess the acceptability, usability, trust, and satisfaction of the INCISIVE AI toolbox (a tool to diagnose and facilitate decisions in cancer care) and to understand implementation challenges and opportunities.

Methods

The user experience of the INCISIVE toolbox was evaluated based on 1,205 cases through a mixed-methods approach. The clinical team consisted of 24 healthcare professionals from 5 countries. Standardized tools were administered to assess the usability, acceptance, explanation, satisfaction, and trust of the INCISIVE toolbox. Face-to-face interviews were conducted to explore the secondary objectives of the study.

Results

The overall system usability was evaluated as moderate, with positive user experience and satisfaction. System usefulness and information quality were perceived as moderate, and healthcare professionals (HCPs) also believed INCISIVE enhanced their job performance. Satisfaction with the clarity of the system’s outputs was perceived as moderate. Overall, trust in the system remained stable throughout the study. Qualitative analysis revealed that the INCISIVE toolbox provides numerous benefits, such as reduced workload for HCPs, improved diagnostic accuracy, and enhanced patient trust.

Conclusion

Results demonstrated the comprehensive usability of the INCISIVE AI toolbox. This developed prototype needs to undergo further refinement before being fully deployed in a clinical setting, to achieve improved accuracy and gain the trust of HCPs and the public.

Implications for Nursing Practice

Nurses who are directly involved in oncology care, diagnostic coordination, or patient education can leverage AI-generated data such as the ones provided by INCISIVE to improve clinical decision-making and personalize patient care.

Original language	English
Article number	152088
Pages (from-to)	152088
Number of pages	12
Journal	Seminars in Oncology Nursing
Volume	42
Issue number	1
Early online date	22 Jan 2026
DOIs	https://doi.org/10.1016/j.soncn.2025.152088
Publication status	Published - Feb 2026

Keywords

Artificial intelligence
Cancer imaging
Decision-making
Feasibility study
Healthcare professionals
INCISIVE AI toolbox
User experience

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10.1016/j.soncn.2025.152088Licence: Other

Zacharias-L-51270652-AAMAccepted author manuscript, 863 KBLicence: CC BY

Cite this

Zacharias, L., Hesso, I., Kayyali, R., Charalambous, A., Triumbari, E. K. A., Chouvarda, I., Loncar-Turukalo, T., Sykiotis, S., Symvoulidis, C., Gutierrez-Torre, A., Nasikas, D. K., Kogut–Czarkowska, M., Roussakis, Y., Maria, C., Maria, L., Trias, S. A., Herrera, D. D., Tsave, O., Alcaraz, A., ... Nabhani-Gebara, S. (2026). Evaluation of the INCISIVE services in cancer imaging: a feasibility study. Seminars in Oncology Nursing, 42(1), 152088. Article 152088. https://doi.org/10.1016/j.soncn.2025.152088

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title = "Evaluation of the INCISIVE services in cancer imaging: a feasibility study",

abstract = "Objectives To assess the acceptability, usability, trust, and satisfaction of the INCISIVE AI toolbox (a tool to diagnose and facilitate decisions in cancer care) and to understand implementation challenges and opportunities. Methods The user experience of the INCISIVE toolbox was evaluated based on 1,205 cases through a mixed-methods approach. The clinical team consisted of 24 healthcare professionals from 5 countries. Standardized tools were administered to assess the usability, acceptance, explanation, satisfaction, and trust of the INCISIVE toolbox. Face-to-face interviews were conducted to explore the secondary objectives of the study. Results The overall system usability was evaluated as moderate, with positive user experience and satisfaction. System usefulness and information quality were perceived as moderate, and healthcare professionals (HCPs) also believed INCISIVE enhanced their job performance. Satisfaction with the clarity of the system{\textquoteright}s outputs was perceived as moderate. Overall, trust in the system remained stable throughout the study. Qualitative analysis revealed that the INCISIVE toolbox provides numerous benefits, such as reduced workload for HCPs, improved diagnostic accuracy, and enhanced patient trust. Conclusion Results demonstrated the comprehensive usability of the INCISIVE AI toolbox. This developed prototype needs to undergo further refinement before being fully deployed in a clinical setting, to achieve improved accuracy and gain the trust of HCPs and the public. Implications for Nursing Practice Nurses who are directly involved in oncology care, diagnostic coordination, or patient education can leverage AI-generated data such as the ones provided by INCISIVE to improve clinical decision-making and personalize patient care.",

keywords = "Artificial intelligence, Cancer imaging, Decision-making, Feasibility study, Healthcare professionals, INCISIVE AI toolbox, User experience",

author = "Lithin Zacharias and Iman Hesso and Reem Kayyali and Andreas Charalambous and Triumbari, \{Elizabeth Katherine Anna\} and Ioanna Chouvarda and Tatjana Loncar-Turukalo and Stavros Sykiotis and Chrysostomos Symvoulidis and Alberto Gutierrez-Torre and Nasikas, \{Dimitrios K.\} and Magdalena Kogut–Czarkowska and Yiannis Roussakis and Christodoulou Maria and Liontou Maria and Trias, \{Susanna Ausso\} and Herrera, \{Didier Dom{\'i}nguez\} and Olga Tsave and Antonio Alcaraz and Dimitris Fotopoulos and Kristis Vevis and Lourdes Mengual and Nikolaos Doulamis and Nik{\v s}a Jakovljevi{\'c} and Papagiannis George and Papalla Diana and Stefanos Finitsis and Tarek Ajami and Vasilakou Evanthia and Vladan Zdravkovic and Shereen Nabhani-Gebara",

year = "2026",

month = feb,

doi = "10.1016/j.soncn.2025.152088",

language = "English",

volume = "42",

pages = "152088",

journal = "Seminars in Oncology Nursing",

issn = "0749-2081",

publisher = "Elsevier Inc.",

number = "1",

}

Zacharias, L, Hesso, I, Kayyali, R, Charalambous, A, Triumbari, EKA, Chouvarda, I, Loncar-Turukalo, T, Sykiotis, S, Symvoulidis, C, Gutierrez-Torre, A, Nasikas, DK, Kogut–Czarkowska, M, Roussakis, Y, Maria, C, Maria, L, Trias, SA, Herrera, DD, Tsave, O, Alcaraz, A, Fotopoulos, D, Vevis, K, Mengual, L, Doulamis, N, Jakovljević, N, George, P, Diana, P, Finitsis, S, Ajami, T, Evanthia, V, Zdravkovic, V & Nabhani-Gebara, S 2026, 'Evaluation of the INCISIVE services in cancer imaging: a feasibility study', Seminars in Oncology Nursing, vol. 42, no. 1, 152088, pp. 152088. https://doi.org/10.1016/j.soncn.2025.152088

TY - JOUR

T1 - Evaluation of the INCISIVE services in cancer imaging

T2 - a feasibility study

AU - Zacharias, Lithin

AU - Hesso, Iman

AU - Kayyali, Reem

AU - Charalambous, Andreas

AU - Triumbari, Elizabeth Katherine Anna

AU - Chouvarda, Ioanna

AU - Loncar-Turukalo, Tatjana

AU - Sykiotis, Stavros

AU - Symvoulidis, Chrysostomos

AU - Gutierrez-Torre, Alberto

AU - Nasikas, Dimitrios K.

AU - Kogut–Czarkowska, Magdalena

AU - Roussakis, Yiannis

AU - Maria, Christodoulou

AU - Maria, Liontou

AU - Trias, Susanna Ausso

AU - Herrera, Didier Domínguez

AU - Tsave, Olga

AU - Alcaraz, Antonio

AU - Fotopoulos, Dimitris

AU - Vevis, Kristis

AU - Mengual, Lourdes

AU - Doulamis, Nikolaos

AU - Jakovljević, Nikša

AU - George, Papagiannis

AU - Diana, Papalla

AU - Finitsis, Stefanos

AU - Ajami, Tarek

AU - Evanthia, Vasilakou

AU - Zdravkovic, Vladan

AU - Nabhani-Gebara, Shereen

PY - 2026/2

Y1 - 2026/2

N2 - Objectives To assess the acceptability, usability, trust, and satisfaction of the INCISIVE AI toolbox (a tool to diagnose and facilitate decisions in cancer care) and to understand implementation challenges and opportunities. Methods The user experience of the INCISIVE toolbox was evaluated based on 1,205 cases through a mixed-methods approach. The clinical team consisted of 24 healthcare professionals from 5 countries. Standardized tools were administered to assess the usability, acceptance, explanation, satisfaction, and trust of the INCISIVE toolbox. Face-to-face interviews were conducted to explore the secondary objectives of the study. Results The overall system usability was evaluated as moderate, with positive user experience and satisfaction. System usefulness and information quality were perceived as moderate, and healthcare professionals (HCPs) also believed INCISIVE enhanced their job performance. Satisfaction with the clarity of the system’s outputs was perceived as moderate. Overall, trust in the system remained stable throughout the study. Qualitative analysis revealed that the INCISIVE toolbox provides numerous benefits, such as reduced workload for HCPs, improved diagnostic accuracy, and enhanced patient trust. Conclusion Results demonstrated the comprehensive usability of the INCISIVE AI toolbox. This developed prototype needs to undergo further refinement before being fully deployed in a clinical setting, to achieve improved accuracy and gain the trust of HCPs and the public. Implications for Nursing Practice Nurses who are directly involved in oncology care, diagnostic coordination, or patient education can leverage AI-generated data such as the ones provided by INCISIVE to improve clinical decision-making and personalize patient care.

AB - Objectives To assess the acceptability, usability, trust, and satisfaction of the INCISIVE AI toolbox (a tool to diagnose and facilitate decisions in cancer care) and to understand implementation challenges and opportunities. Methods The user experience of the INCISIVE toolbox was evaluated based on 1,205 cases through a mixed-methods approach. The clinical team consisted of 24 healthcare professionals from 5 countries. Standardized tools were administered to assess the usability, acceptance, explanation, satisfaction, and trust of the INCISIVE toolbox. Face-to-face interviews were conducted to explore the secondary objectives of the study. Results The overall system usability was evaluated as moderate, with positive user experience and satisfaction. System usefulness and information quality were perceived as moderate, and healthcare professionals (HCPs) also believed INCISIVE enhanced their job performance. Satisfaction with the clarity of the system’s outputs was perceived as moderate. Overall, trust in the system remained stable throughout the study. Qualitative analysis revealed that the INCISIVE toolbox provides numerous benefits, such as reduced workload for HCPs, improved diagnostic accuracy, and enhanced patient trust. Conclusion Results demonstrated the comprehensive usability of the INCISIVE AI toolbox. This developed prototype needs to undergo further refinement before being fully deployed in a clinical setting, to achieve improved accuracy and gain the trust of HCPs and the public. Implications for Nursing Practice Nurses who are directly involved in oncology care, diagnostic coordination, or patient education can leverage AI-generated data such as the ones provided by INCISIVE to improve clinical decision-making and personalize patient care.

KW - Artificial intelligence

KW - Cancer imaging

KW - Decision-making

KW - Feasibility study

KW - Healthcare professionals

KW - INCISIVE AI toolbox

KW - User experience

U2 - 10.1016/j.soncn.2025.152088

DO - 10.1016/j.soncn.2025.152088

M3 - Article

SN - 0749-2081

VL - 42

SP - 152088

JO - Seminars in Oncology Nursing

JF - Seminars in Oncology Nursing

IS - 1

M1 - 152088

ER -

Evaluation of the INCISIVE services in cancer imaging: a feasibility study

Abstract

Keywords

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