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The International Conference on Artificial Intelligence in Health (aiHealth 2026)

Mytilene, Lesvos Island, Greece (27–29 July 2026)

Abstracts that will be included in the Book of Abstracts and will be presented at the aiHealth Conference

CountryAuthorsTitle
GreeceMaria Triantafyllidou, Paraskevi Tsavourelou,Christos Georgopoulos,Anila Duni, Athanasios Kitsos,Euthymios Pappas, Eleni Stamellou, Nikolaos Giannakeas,and Evangelia NtounousiThe use of Artificial Intelligence and Machine Learning in short-term all-cause mortality prediction in Hemodialysis patients
United KingdomSoniya Chauhan, Preetam Upadhyaya, Sarah Kelly, and Ashok AcharyaAwareness, Usage, and Perceptions of Artificial Intelligence Tools in Surgical Education: A Multi-Specialty Cross-Sectional Survey
GreeceStavros DavidopoulosFairMed: Manufacturer-sided Fair Medication Recommendation
MoroccoDaoud Bentaleb, Rabab Hassani, Dalale Laoudiyi, Kamilia Chbani, and Siham SalamLess Dose, Same Quality: Deep Learning Transforms Pediatric Brain CT
GreeceEvangelos KoumparoudisAI, Clinical Judgment, and the Reconfiguration of Medical Authority: Technosolutionism, Epistemic Opacity, and the Doctor–Patient–AI Triad
Puerto RicoLuis F. Velázquez-Sosa, Joshua Meléndez-Berríos, Angel M. Ortíz-Ortega, Orvil Martínez-Rivera, and Abiel Roche-LimaExploring Cardiometabolic Risk in Puerto Rico Using AI: An Interactive Dashboard of Local Risks and Social Drivers
GreeceChristina Pagkaki, and Panagiotis HalvatsiotisArtificial Intelligence–Enhanced Dietary and Physical Activity Interventions for the Prevention and Management of Gestational Diabetes Mellitus: A Narrative Review
United KingdomMujeeb ArshadRethinking Lung Function Assessment: A Survey of Respiratory Sensing, Data Fusion, and Open Challenges
TurkeyTurhan DidinenThe Integration of Artificial Intelligence and Robotic Systems in Dental Preparation: Current Status and Future Visions
USASujatha ChettyThe SIDI™ Protocol: Decentralized Intelligence Synthesis for Ethical Clinical AI
USASuresh Mani, Bhushan Borotikar, Amol Gautam, V.Sashindran, Chandana Nandi, and Ravi KakarlaA Multi-Agentic AI framework for "Clinical Decision Intelligence" using integrated radiological and echocardiographic data for early heart failure risk stratification
SpainDaniel Sánchez Morillo, Patricia Camacho Magriñán, Diego Sales Lérida, Alejandro Lara Doña, Eva Vázquez Gandullo, and Alfonso Marín AndrMultimodal COPD Monitoring Ecosystems: Adherence Patterns as a Barrier to AI-Driven Exacerbation Prediction
SpainPatricia Camacho Magriñán, Diego Sales Lérida, Antonio León Jiménez, Alejandro Lara Doña, Eva Vázquez Gandullo, Alfonso Marín Andreu, Aurelio Arnedillo Muñoz, and Daniel Sánchez MorilloA Longitudinal Multivariate Assessment of Acoustic and Motor Biomarkers in COPD Telehealth
United KingdomAnju Ann Jacob, Surej Mouli, Maia Angelova, and Antonio FratiniBenchmarking Large Language Models, Retrieval-Augmented Generation and Machine Learning for Emergency Department Outcome Prediction: A Comparative Analysis
GermanyTatyana Ivanovska, Markus Krüger, Fabian Wagner, Lisa Schneider, Christian Scharf, Fabian Paperlein, Amro Daboul, Henry Völzke, and Achim Georg BeulePopulation-Level MRI Analysis of Upper Airway, Parapharyngeal, and Paranasal Sinus Structures: An Epidemiological Perspective
IrelandNishamol P. HExplainable Multimodal AI for Drug Repurposing: Integrating Multi-Omics and Clinical Text for Precision Oncology
UruguayEstrella Adriana Sicardi Segade, Juan Eduardo Gil Yacobazzo, José Carlos Guerrero Antúnez, David Romero Pacheco, Alberto González, and Jorge CentenoA Real-Time Data Pipeline for Communicable Disease Surveillance with Integrated Machine Learning: A Proof of Concept in Uruguay
BulgariaVasil Haykin, Ran Achiron, Yehuda Warszave, Mathilda Mandel, Anat Achiron, and Alexander OscarArtificial Intelligence-Driven Detection of Optic-Nerve Damage from Fundus Imaging
USAMichael CallifronasIntegrated Multi-LLM Clinical Assistant for Primary Care: Automatic ICPC-2 Coding, Differential Diagnosis, Investigation Planning, and Drug-Therapy Support
IndiaShibani SabnisClinical diagnostic reasoning with frontier and Indian large language models: A comparative evaluation
JapanShitora Hayamizu, Toshikatsu Washio, Masaru Watanabe, Yoshiaki Yamagishi, Masuo Kondoh, and Tatsuhiko ArafuneIntegrated GS1 Barcode and LLM Support for Drug Information Access
BelgiumElizaveta Kuzmenko , Petros Korlos , Dimitris Sacharidis, Erietta Galani, and Ioanna KotsiriSource Attribution for LLM-Based Medical Diagnosing: A Case Study in Cardiovascular Classification
United KingdomNamia Ali and Karen KnappA multimodal approach to the analysis of painful total knee replacement using SPECT/CT, anatomical segmentation and biomechanical modelling
EgyptMorouge FathelbabExploring various pre-processing , machine learning and Deep Learning techniques for Multimodal Depression Detection
ItalyIdriss Cabrel Tsewalo Tondji, Camilla Scapicchio, Francesca Lizzi, Maria Evelina Fantacci, Piernicola Oliva, and Alessandra ReticoFine-tuning a Foundation Model for Pancreatic Lesion Segmentation in CT Imaging
USANiyantra Mohan Babu, Nissangh Mohan Babu, and Vijayan KannabiranNovel Multimodal Machine Learning for Early Detection of Asperger’s Syndrome via 4-Modal OR-Gate Ensemble Classification
USANiyantra Mohan Babu, Nissangh Mohan Babu, and Vijayan KannabiranAutonomous Agentic Health Monitoring & Emergency Alert with Natural Language Biometric Parsing, Anomaly Detection, and Clinical Escalation