Accès ouvert
2026
article
OpenAlex
Hamida Abdaoui, Sabri Barbaria, Ahmed Al Kuwaiti, Noureddine Raouafi et autres
Background Automated chest x-ray reporting could substantially reduce the burden on radiology services worldwide; however, the implementation of current vision–language models (VLMs) in clinical workflows remains limited by factual errors, hallucinations, and inadequate clinical reliability. Bridging this implementation gap requires frameworks that …
cz, Tunisie, sa, gb
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Hamida Abdaoui, Sabri Barbaria, Ismail Dergaa, Halil İbrahim Ceylan et autres
INTRODUCTION AND AIMS: Automated dental report generation faces significant challenges in multimodal fusion, often resulting in suboptimal semantic quality and risks of hallucination, where AI generates clinically unsupported content. Current approaches that rely on simple feature concatenation or bidirectional attention mechanisms fail …
Tunisie, tr, de, it
(code pays fourni par la source)
Accès ouvert
2026
conference-paper
OpenAlex
Hamida Abdaoui, Sabri Barbaria, Taha Ridene, R. Ben Salah et autres
The automatic generation of medical reports represents a strategic lever for improving clinical practices, lightening the document load and providing greater support for decision support. In this work, we present MedFusion-GPT, a hybrid model that combines the linguistic competence of GPT-2 with …
Tunisie, fr, gb
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Hamida Abdaoui, Chamseddine Barki, Ismail Dergaa, Karima Tlili et autres
BACKGROUND: Anatomopathological reports are largely unstructured, which limits automated data extraction, interoperability, and large-scale research. Manual extraction and standardization are costly and difficult to scale. OBJECTIVE: We developed and evaluated an automated pipeline for entity extraction and multi-ontology normalization of anatomopathological reports. …
Tunisie, tr, ca, it, gb
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
Hamida Abdaoui, Chamseddine Barki, Ismail Dergaa, Karima Tlili et autres
Background: Anatomopathological reports remain predominantly unstructured within Electronic Medical Records, limiting automated data extraction, interoperability between healthcare institutions, and large-scale clinical research applications. Manual entity extraction and standardization processes are inconsistent, costly, and insufficiently scalable for modern healthcare systems.Aim: Our study aimed …
Tunisie, tr, ca, it, gb
(code pays fourni par la source)