Academic Articles & Research Papers

Achieving health equity through healthcare technology: Perspective from India

India aims to provide universal health coverage to all individuals and communities thus ensuring accessibility, promotive, curative, preventive, rehabilitative, and palliative health services to all. Healthcare technologies play a critical ...

Generative artificial intelligence

Abstract Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Lever...

Clonal haematopoiesis subtypes confer dose-dependent risk of serious bacterial infection.

An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients

Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects. However, research on predicting AKI in this high-risk group remains limited. This study presents a stacking ensemble ma...

Predicting Risky Behavior Among Pregnant Women in Eastern African countries using Pooled Demographic and Health Survey (DHS) Data: An Explainable Machine Learning Approach.

Comparative Evaluation of Artificial Intelligence-Generated Physician-Level Educational Content in Diabetic Foot Ulcers: Quality, Guideline Concordance, and Clinical Reliability

The study aimed to evaluate the quality, clinical reliability, and guideline concordance of physician-level educational responses generated by artificial intelligence (AI) in diabetic foot ulcer management. A blinded, comparative analysis w...

Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review

Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

Managing artificial intelligence

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

Identifying payment-driven patient selection using machine-learning-predicted cost risk: evidence from neonatal care in China.

GREEN FINANCE IN THE CONTEXT OF CLIMATE CHANGE: A BIBLIOMETRIC ANALYSIS OF THE ACADEMIC LITERATURE (2001–2025)

This article analyses the evolution, structure, and dynamics of the academic literature on green finance in the context of climate change, using a bibliometric approach applied to publications indexed in the Web of Science – Core Collec...

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in Engl...

Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design

Objective Despite extensive exploration of potential biomarkers of cardiovascular diseases (CVDs) derived from retinal images, it remains unclear how retinal images contribute to CVD risk profiling and how the results can inform lifestyle m...

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...

Artificial Intelligence in Anesthesiology

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial int...

Deep Learning for AD Risk Screening and Progression Prediction.

A Risk Identification Method for Ensuring AI-Integrated System Safety for Remotely Controlled Ships with Onboard Seafarers

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of t...

Prediction of stability coefficient of open-pit mine slope based on artificial intelligence deep learning algorithm

Abstract The mining of open pit mines is widespread in China, and there are many cases of landslide accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is a factor that directly affects the mining...

A Robust Information Life Cycle Management Framework for Securing and Governing Critical Infrastructure Systems

In modern societies, the rampant growth of the Internet, both on the technological and social level, has created fertile ground for the emergence of new types of risk. On top of that, it enhances pre-existing threats by offering new means f...

Implementation of Synology NAS-Based Storage System Type DS220+ at LSP-SV IPB

As the digital world evolves, safeguarding digital assets becomes crucial for organizations, particularly educational institutions. LSP SV-IPB, as a vocational certification body, manages student data, academic records, and other valuable i...