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Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Applications of Positive Unlabeled (PU) and Negative Unlabeled (NU) Learning in Cybersecurity

This paper explores the relatively underexplored application of Positive Unlabeled (PU) Learning a...

Quantum Threat in Healthcare IoT: Challenges and Mitigation Strategies

The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, e...

Interactions Between Artificial Intelligence and Digital Public Infrastructure: Concepts, Benefits, and Challenges

Artificial intelligence (AI) and digital public infrastructure (DPI) are two technological develop...

SCADE: Scalable Framework for Anomaly Detection in High-Performance System

As command-line interfaces remain integral to high-performance computing environments, the risk of...

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis

In the healthcare sector, the application of deep learning technologies has revolutionized data an...

Privacy-Preserving in Medical Image Analysis: A Review of Methods and Applications

With the rapid advancement of artificial intelligence and deep learning, medical image analysis ha...

Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)

The goal of this work was to compute the semantic similarity among publicly available health surve...

Interpretable Hierarchical Attention Network for Medical Condition Identification

Accurate prediction of medical conditions with straight past clinical evidence is a long-sought to...

Enhancing LLMs with Smart Preprocessing for EHR Analysis

Large Language Models (LLMs) have demonstrated remarkable proficiency in natural language processi...

Block MedCare: Advancing healthcare through blockchain integration with AI and IoT

This research explores the integration of blockchain technology in healthcare, focusing on enhanci...

Exploring Long-Term Prediction of Type 2 Diabetes Microvascular Complications

Electronic healthcare records (EHR) contain a huge wealth of data that can support the prediction ...

MIMIC: Multimodal Islamophobic Meme Identification and Classification

Anti-Muslim hate speech has emerged within memes, characterized by context-dependent and rhetorica...

Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.

OBJECTIVE: This systematic review aimed to provide a comprehensive overview of the application of ma...

Dec 2024 39668733
Assessing diagnostic performance for common skin diseases using an AI-assisted tele-expertise platform: a proof of concept.

Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatolog...

Dec 2024 39912464
AI-assisted summary of suicide risk Formulation

Background: Formulation, associated with suicide risk assessment, is an individualised process tha...

HOPPR Medical-Grade Platform for Medical Imaging AI

Technological advances in artificial intelligence (AI) have enabled the development of large visio...

ML-Based Framework to Predict the Severity of the Symptomatology in Patients with Post-Acute COVID-19 Syndrome.

The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first ...

Nov 2024 39575788
Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

Nov 2024 39809211
Relation-aware based Siamese Denoising Autoencoder for Malware Few-shot Classification

When malware employs an unseen zero-day exploit, traditional security measures such as vulnerabili...

Peak Age of Incorrect Information of Reactive ALOHA Reporting Under Imperfect Feedback

Age of Incorrect Information (AoII) is particularly relevant in systems where real time responses ...

Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights

Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detectio...

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