AIMC Topic: Delivery of Health Care
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Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems.
Scientific reports
Jul 2, 2025
Accurate Lung cancer (LC) identification is a big medical problem in the AI-based healthcare systems. Various deep learning-based methods have been proposed for Lung cancer diagnosis. In this study, we proposed a Deep learning techniques-based integr...
Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification.
Scientific reports
Jul 1, 2025
The growing number of patients and the emergence of new symptoms and diseases make health monitoring and assessment increasingly complex for medical staff and hospitals. The execution of big and heterogeneous data gathered by medical sensors and the ...
An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data.
Scientific reports
Jul 1, 2025
With the rapid growth of healthcare data and the need for secure, interpretable, and decentralized machine learning systems, Federated Learning (FL) has emerged as a promising solution. However, FL models often face challenges regarding privacy prese...
Integrated artificial intelligence in healthcare and the patient's experience of care.
Scientific reports
Jul 1, 2025
Healthcare is plagued with many problems that Artificial Intelligence (AI) can ameliorate or sometimes amplify. Regardless, AI is changing the way we reason towards solutions, especially at the frontier of public health applications where autonomous ...
XAI-XGBoost: an innovative explainable intrusion detection approach for securing internet of medical things systems.
Scientific reports
Jul 1, 2025
The Internet of Medical Things (IoMT) has transformed healthcare delivery but faces critical challenges, including cybersecurity threats that endanger patient safety and data integrity. Intrusion Detection Systems (IDS) are essential for protecting I...
Leveraging federated learning and edge computing for pandemic-resilient healthcare.
Scientific reports
Jul 1, 2025
The universal demand for the development and deployment of responsive medical infrastructure and damage control techniques, including the application of technology, is the foremost necessity that emerged immediately in the post-pandemic era. Numerous...
Navigating the barriers and facilitators to implementation of AI in healthcare : a scoping review.
The bone & joint journal
Jul 1, 2025
AIMS: There is increasing emphasis on applying AI techniques to enhance healthcare delivery and decision-making. However, despite much interest and early promise, a major challenge is translation into clinical practice. To address the challenges of A...
Exploring the social dimensions of AI integration in healthcare: a qualitative study of stakeholder views on challenges and opportunities.
BMJ open
Jun 27, 2025
OBJECTIVES: This study aimed to investigate the opportunities and challenges associated with integrating artificial intelligence (AI) in healthcare by exploring the perspectives of various stakeholders. The objective was to provide a nuanced understa...
[Large language models in healthcare].
Nederlands tijdschrift voor geneeskunde
Jun 24, 2025
Large language models, AI-based models that can generate language and which are optimized for human interaction, are widely available and also offer opportunities for healthcare. Yet, they also raise important questions about their quality and ethica...
Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study.
JMIR infodemiology
Jun 23, 2025
BACKGROUND: The rapid emergence of artificial intelligence-based large language models (LLMs) in 2022 has initiated extensive discussions within the academic community. While proponents highlight LLMs' potential to improve writing and analytical task...
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