The project is the medical diagnostic system, powered by AI and based on the Convolutional Neural Networks (CNNs), that automatically identifies abnormalities in medical images with a high precision that is expected to enhance the accuracy of the diagnosis, ease the workload of the medical specialists, and offer scalable, reliable, and available AI-based healthcare assistance systems to hospitals and other clinical settings.
A comprehensive narrative review of current AI/DL applications in ultrasound diagnosis, synthesising evidence across four major clinical domains and identifying recurring limitations across the literature - dataset heterogeneity, limited external/multicentre validation, and interpretability gaps - and outlines directio...
R. Sivakumar, Arati Shahapurkar, J. G et al.· Adolescência e Saúde· 0 citations
This comprehensive review systematically examines the architecture, functionality, and clinical effectiveness of ANN-based models applied to a diverse spectrum of medical imaging modalities, encompassing mammography, magnetic resonance imaging (MRI), computed tomography (CT), fundus photography, and dermoscopy.
Maryam Omar Al-Tohamy Abdel Hamid, A. Arjiah, Anaas Mansour Abdulsalam· Al-Farooq Journal of Science...· 0 citations
Digital health care platforms continue to cause an increase in global access to medical information, but they haven been fully able to facilitate access through continued fragmentation and lack of accessibility, as the majority of these systems use text-based descriptions of disease alone, with no capability of intelli...
P. Bhaskar, A.Nageswari, B.Anjani Pranitha et al.· 2026 7th International Confe...· 0 citations
Multimodal, Multi-Disease Medical Imaging Foundation Model MerMED-FM has the potential to be a highly adaptable, versatile, cross-specialty foundation model that enables robust interpretation of medical imaging across diverse medical disciplines.
Yang Zhou, C. Quek, Jun Zhou et al.· The Lancet Digital Health· 2 citations
The research introduces a dimension in which medical specialists can have real-time conversations with a trained LLM model that leverages knowledge from a medical encyclopedia, and enhances collaboration between AI and medical professionals, creating a platform for exchanging knowledge.
M. I. Ahmed· Journal of Intelligent Decis...· 1 citation
An engineering-oriented deployment framework is proposed, integrating modality-driven model selection, structured preprocessing pipelines, multi-level clinical validation, computational feasibility assessment, and explainability, together with a clinical deployment readiness model spanning validation maturity, data div...
Enoch Jacob Dodo, Amos Takai Yayock, Gregory Onwodi et al.· Journal of Science Research...· 0 citations
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