Search Results - "Autexier S"

Feasibility of the Xemio app for breast cancer survivors in a clinical setting: Adherence, acceptance, and side effect monitoring (CTCAE vs. QoL).

Authors: Fuentes-Expósito, Maria-Angeles Frid, Santiago Muñoz-Mateu, Montserrat et al.

Source: PLoS ONE. 5/13/2026, Vol. 21 Issue 5, p1-15. 15p.

eXING-IoT conceptual framework for explainability integration in next generation-IoT.

Authors: Vultureanu-Albişi, Alexandra Bădică, Costin Ivanović, Mirjana

Source: Connection Science; Dec 2025, Vol. 37 Issue 1, p1-59, 59p

Recent Applications of Explainable AI (XAI): A Systematic Literature Review.

Authors: Saarela, Mirka Podgorelec, Vili

Source: Applied Sciences (2076-3417); Oct2024, Vol. 14 Issue 19, p8884, 111p

(Re)Defining Smart Home Through an HCI Perspective: A Systematic Review of over Two Decades of Smart Home Conceptualization and Research.

Authors: Owens, Otis L. Beer, Jenay M. Leonard, Mike S. et al.

Source: International Journal of Human-Computer Interaction; Sep2025, Vol. 41 Issue 17, p10743-10766, 24p

Artificial intelligence in intensive care units: a scoping review addressing the translational gap to clinical practice.

Authors: Zarantonello, Francesco De Cassai, Alessandro Pettenuzzo, Tommaso et al.

Source: Korean Journal of Anesthesiology. Jun2026, Vol. 79 Issue 3, p291-305. 15p.

Explainable data mining model for hyperinsulinemia diagnostics.

Authors: Rankovic, Nevena Rankovic, Dragica Ivanovic, Mirjana et al.

Source: Connection Science; Dec2024, Vol. 36 Issue 1, p1-25, 25p

Artificial Intelligence in Oncology Nursing: Preparing the Workforce for the Future.

Authors: Charalambous, Andreas Dodlek, Nikolina

Source: Clinical Journal of Oncology Nursing. Feb2026, Vol. 30 Issue 1, p22-26. 5p.

Next-Gen Explainable AI (XAI) for Federated and Distributed Internet of Things Systems: A State-of-the-Art Survey.

Authors: Karras, Aristeidis Giannaros, Anastasios Amasiadi, Natalia et al.

Source: Future Internet. Feb2026, Vol. 18 Issue 1, p83. 69p.

Artificial Intelligence Program for Predicting Wrestlers' Sports Performances.

Authors: Nagovitsyn, Roman Sergeevich Valeeva, Roza Alexeevna Latypova, Liliia Agzamovna

Source: Sports (2075-4663). Oct2023, Vol. 11 Issue 10, p196.

Artificial intelligence supporting cancer patients across Europe-The ASCAPE project.

Authors: Tzelves L Manolitsis I Varkarakis I et al.

Source: PloS one [PLoS One] 2022 Apr 21; Vol. 17 (4), pp. e0265127. Date of Electronic Publication: 2022 Apr 21 (Print Publication: 2022).

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Clinical Trial, Phase II

Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Lessons Learned From European Health Data Projects With Cancer Use Cases: Implementation of Health Standards and Internet of Things Semantic Interoperability.

Authors: Gyrard, Amelie Abedian, Somayeh Gribbon, Philip et al.

Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-16. 16p.

Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches.

Authors: Ramaswamy, Viswambari Devi Keidar, Michael

Source: Applied Sciences (2076-3417); Jan2024, Vol. 14 Issue 1, p355, 19p

Quality medical data management within an open AI architecture – cancer patients case.

Authors: Ivanovic, Mirjana Autexier, Serge Kokkonidis, Miltiadis et al.

Source: Connection Science; Dec2023, Vol. 35 Issue 1, p1-28, 28p

Effect of Block-Based Python Programming Environment on Programming Learning.

Authors: Kim, Yongcheon Kim, Jamee Lee, Wongyu

Source: Applied Sciences (2076-3417); Oct2023, Vol. 13 Issue 19, p10898, 16p

SAPIENS in XR: operationalizing interaction-attention in extended reality.

Authors: Pamparău, Cristian Schipor, Ovidiu-Andrei Dancu, Alexandru et al.

Source: Virtual Reality; Sep2023, Vol. 27 Issue 3, p1765-1781, 17p

Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community.

Authors: Bottrighi, Alessio Pennisi, Marzio

Source: Information. Sep2023, Vol. 14 Issue 9, p513. 28p.

FAP: A Time Series Analysis and Mining Framework for Scientific and Practical Applications.

Authors: Gellér, Zoltán Kurbalija, Vladimir Ivanović, Mirjana

Source: Computer Science & Information Systems; Sep2025, Vol. 22 Issue 4, p1379-1403, 25p

NNBlocks: a Blockly framework for AI computing.

Authors: Chen, Tai-Liang Chen, Yi-Ru Yu, Meng-Shiun et al.

Source: Journal of Supercomputing; Aug2021, Vol. 77 Issue 8, p8622-8652, 31p

Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework.

Authors: Ramezani, Maryam Takian, Amirhossein Bakhtiari, Ahad et al.

Source: BioData Mining. 10/31/2023, Vol. 16 Issue 1, p1-18. 18p.

Integrated personal health record (PHR) security: requirements and mechanisms.

Authors: Hosseini, Azamossadat Emami, Hassan Sadat, Yousef et al.

Source: BMC Medical Informatics & Decision Making. 7/10/2023, Vol. 23 Issue 1, p1-7. 7p.