AIHealth 2024 - The First International Conference on AI-Health
March 10, 2024 - March 14, 2024
AIHealth 2024: Awards
Onsite and Online Options: In order to accommodate a large number of situations, we are offering the option for either physical presence or virtual participation (pdf slides or pre-recorded videos).
The papers listed below have been selected as "Best Papers" based on the reviews of the original submission, the camera-ready version, and the presentation during the conference. For the awarded papers, a digital award will be issued in the name of the authors. The authors of these papers are also receiving invitations to submit an extended article version to one of the IARIA Journals.
Awarded Papers (also Invited for IARIA Journals)
Cancer: Investigating the Impact of the Implementation Platform on Machine Learning Models
Adedayo Olowolayemo, Amina Souag, Konstantinos Sirlantzis
CAD Tool for Breast Cancer Prediction Using Multiple Deep-learning Models
Maura Mengoni, Luca Giraldi, Aubudukaiyoumu Talipu, Giampiero Cimini, Marco Luciani, Mauro Savino
Human-AI Collaboration Cycle in the Development Stage of an AI-enabled System
Pi-Yang Weng, Rua-Huan Tsaih, Hsin-Lu Chang
Evaluating Text Pre-Processing Strategies for Clinical Document Classification with BERT
Sarah Miller, Serge Sharoff, Geoffrey Hall, Prabhu Arumugam
The following papers have been selected on the basis of their contents, specificaly for lending themselves to an interesting extended work. The authors of these papers are receiving invitations to submit an extended article version to one of the IARIA Journals.
Papers Invited for IARIA Journals
Efficacy of an AI-Based Weight Loss Digital Therapeutics Platform: A Multidisciplinary Perspective
Sarfraz Khokhar, John Holden, Catherine Toomer, Linda Whitby
Medical Knowledge Harmonization: A Graph-based, Entity-Selective Approach to Multi-source Diagnoses
Andrea Bianchi, Antinisca Di Marco
Can We Explain Al?: Explainable Al in the Health Domain as Told Through Three European Commission-funded Projects
Lem Ngongalah, Robin Renwick
Predictive Analytics for Emergency Department Visits Based on Local Short-Term Pollution and Weather Exposure
Isabella Della Torre, Ismaela Avellino, Francesca Marinaro, Andrea Buccoliero, Antonio Colangelo