AIMC Topic: Artificial Intelligence
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Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT.
IEEE journal of biomedical and health informatics
Apr 4, 2025
This study explores the application of explainable artificial intelligence (XAI) in the context of medical image analysis within medical cyber-physical systems (MCPS) to enhance transparency and trustworthiness. Meanwhile, this study proposes an expl...
A Novel Experience-Driven and Federated Intelligent Threat-Defense Framework in IoMT.
IEEE journal of biomedical and health informatics
Apr 4, 2025
The Artificial Intelligence-enabled Internet of Medical Things (AI-IoMT) envisions the connectivity of medical devices encompassing advanced computing technologies to empower large-scale intelligent healthcare networks. The AI-IoMT continuously monit...
Early detection of esophageal cancer: Evaluating AI algorithms with multi-institutional narrowband and white-light imaging data.
PloS one
Apr 4, 2025
Esophageal cancer is one of the most common cancers worldwide, especially esophageal squamous cell carcinoma, which is often diagnosed at a late stage and has a poor prognosis. This study aimed to develop an algorithm to detect tumors in esophageal e...
Generative AI and criminology: A threat or a promise? Exploring the potential and pitfalls in the identification of Techniques of Neutralization (ToN).
PloS one
Apr 4, 2025
Generative artificial intelligence (AI) such as GPT-4 refers to systems able to understand and generate new coherent and relevant text by learning from existing data sets. The great opportunities that GPT-4 offers are accompanied by great risks. Inde...
Artificial intelligence-enhanced video-based assessment of surgical quality for training in laparoscopic right hemicolectomy: The "Marginal Gains" pilot study.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Apr 3, 2025
INTRODUCTION: The study aims to propose a standardised workflow with critical views for surgical quality assessment (SQA) in laparoscopic right hemicolectomy (LRH), to disseminate it through a "Marginal Gains" course, and to evaluate its impact throu...
Learning-Based Models for Predicting IVIG Resistance and Coronary Artery Lesions in Kawasaki Disease: A Review of Technical Aspects and Study Features.
Paediatric drugs
Apr 3, 2025
Kawasaki disease (KD) is a common pediatric vasculitis, with coronary artery lesions (CALs) representing its most severe complication. Early identification of high-risk patients, including those with disease resistant to first-line treatments, is ess...
Clinical implementation of AI-based screening for risk for opioid use disorder in hospitalized adults.
Nature medicine
Apr 3, 2025
Adults with opioid use disorder (OUD) are at increased risk for opioid-related complications and repeated hospital admissions. Routine screening for patients at risk for an OUD to prevent complications is not standard practice in many hospitals, lead...
AI in SPECT Imaging: Opportunities and Challenges.
Seminars in nuclear medicine
Apr 3, 2025
SPECT is a widely used imaging modality in nuclear medicine which provides essential functional insights into cardiovascular, neurological, and oncological diseases. However, SPECT imaging suffers from limited quantitative accuracy due to low spatial...
Generating evidence to support the role of AI in diabetic eye screening: considerations from the UK National Screening Committee.
The Lancet. Digital health
Apr 3, 2025
Screening for diabetic retinopathy has been shown to reduce the risk of sight loss in people with diabetes, because of early detection and treatment of sight-threatening disease. There is long-standing interest in the possibility of automating parts ...
How did we get there? AI applications to biological networks and sequences.
Computers in biology and medicine
Apr 3, 2025
The rapidly advancing field of artificial intelligence (AI) has transformed numerous scientific domains, including biology, where a vast and complex volume of data is available for analysis. This paper provides a comprehensive overview of the current...
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