Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Antonios Billis
Observed name:
Billis, Antonios
Institution:
Aristotle University of Thessaloniki
Observed institution:
Aristotle University of Thessaloniki
ORCID:
0000-0002-1854-7560
Observed ORCID:
0000-0002-1854-7560
OpenAlex ID:
A5108882416
A Patient-Oriented App (ThessHF) to Improve Self-Care Quality in Heart Failure: From Evidence-Based Design to Pilot Study
2021
·
Constantinos Bakogiannis
, Anastasios Tsarouchas
, et al.
·
JMIR mhealth and uhealth
·
64
Towards an Explainable AI-based Tool to Predict the Presence of Obstructive Coronary Artery Disease
2022
·
Ilias Kyparissidis Kokkinidis
, Emmanouil S. Rigas
, et al.
·
Panhellenic Conference on Informatics
·
8
PDF
Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study
2025
·
Georgios Rampidis
, Evangelos Logaras
, et al.
·
JMIR Research Protocols
·
1
Training Needs and Programs to Empower Patient and Healthcare Professionals Adopting Telehealth Applications
2025
·
Despoina Mantziari
, Christina Plomariti
, et al.
·
Springer eBooks
·
1
Autonomous Structuring of Radiology Reports Across Modalities at Archive Scale Using an Open-Weight Large Language Model
2026
·
Puttkammer, Friedrich
, Drexel, Fabian
, et al.
·
arXiv (Cornell University)
PDF
Use of and attitudes towards large language models for health information among people with cancer, the general public, and health-care professionals: a multinational cross-sectional survey
2026
·
Borm, Kai Joachim
, Bressem, Keno
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Assessing the Quality of Wearable-Derived Health Data: The DAMA UK Framework Applied to Real-World Patient Data
2026
·
Styliana Siakopoulou
, Antonios Billis
, et al.
·
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Explainable AI in Medicine: Trends and Educational Implications
2026
·
Emmanouil S. Rigas
, Antonios Billis
, et al.
·
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Enabling Reproducible AI Research Through the RAISE Platform: A Cross-Dataset Study on Emergency Department Triage
2026
·
Styliana Siakopoulou
, Sokratis Nifakos
, et al.
·
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Evaluating and Adapting Quality Criteria for Digital Health Apps in Frailty and Dementia Care
2026
·
Emmanouil S. Rigas
, Antonios Billis
, et al.
·
Studies in health technology and informatics
Exploring the Personalisation of Digital Cognitive Rehabilitation in Multiple Sclerosis Through Wearable Data and Machine Learning
2026
·
Georgios Nomikos
, Antonios Billis
, et al.
·
Studies in health technology and informatics
Evidence-Based, Digitally-Enabled Support and Care for Older Pre-Frail Adults
2026
·
Antonios Billis
, Georgios Petridis
, et al.
·
Studies in health technology and informatics
Evidence-based, digitally-enabled support and care for older pre-frail adults
2026
·
Billis, Antonios
, Petridis, Georgios
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Debiasing for trustworthy AI-based prediction of preterm birth
2026
·
Eleni Mpousiou
, Emmanouil S. Rigas
, et al.
·
Health Informatics Journal
Training and Educational Toolkit I
2025
·
Mantziari, Despoina
, Rigas, Emmanouil S.
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Design, Development, Piloting, and Evaluation of Smart, Digital Health Applications to Tackle Urgent Cancer Priorities
2025
·
Antonios Billis
, Paraskevas Lagakis
, et al.
·
Springer eBooks
Show more works
View as search
Works count:
16
Citation count:
74
H-index:
2
I10-index:
1
Year
Topic
Type