Hospital-Based Medicine

Recent advances and future perspectives of long-acting ophthalmic preparations (LAOPs) in clinical applications.

The intricate structure of ocular barriers significantly impedes drug penetration, leading to suboptimal efficacy of conventional ophthalmic formulations. Sustained/controlled-release long-acting ophthalmic preparations (LAOPs) address these limitations by prolonging drug retention, reducing dosing frequency, and enhancing therapeutic precision. This review categorizes clinically validated LAOPs b...

Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM.

Canadian Radiology Update.

Radiology research at Canadian institutions is advancing patient care through multidisciplinary collaboration, technological innovation, and quality i...

Technology Integration to Support Nurses in an "Inpatient Room of the Future": Qualitative Analysis.

BACKGROUND: The design and integration of technology within inpatient hospital rooms has a critical role in supporting nursing workflows, enhancing pr...

Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis.

BACKGROUND: Fueled by innovations in technology and health interventions to promote, restore, and maintain health and safeguard well-being, the field ...

Strategic Guidelines to Integrate Artificial Intelligence in Obstetrics and Gynecology: Best Practices and Ethical Considerations.

The transformative advancements in artificial intelligence (AI) have significantly impacted medical fields, particularly obstetrics and gynecology (OB...

A machine learning model for predicting severity-adjusted in-hospital mortality in pneumonia patients.

OBJECTIVE: This study aims to develop a customized severity adjustment tool for hospital deaths in pneumonia patients considering characteristics of K...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people projected to be affected by the year 2045. T2DM sign...

Dataset resulting from the user study on comprehensibility of explainable AI algorithms.

This paper introduces a dataset that is the result of a user study on the comprehensibility of explainable artificial intelligence (XAI) algorithms. T...

The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis.

Thorough investigations of end-users' awareness, acceptance, and concerns about ophthalmic artificial intelligence (AI) are essential to ensure its su...

The 2024 ESC guidelines on atrial fibrillation: essential updates for everyday clinical practice.

Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia, and it is associated with substantial morbidity, mortality, and economic burden. Ef...

High-Performance Broadband Integrated Detection System for Multifunctional Applications.

In the digital era, photodetectors have become indispensable components in optical communication, imaging, and artificial intelligence, driven by the ...

Improving the Robustness of Deep Learning Models in Predicting Hematoma Expansion from Admission Head CT.

BACKGROUND AND PURPOSE: Robustness against input data perturbations is essential for deploying deep learning models in clinical practice. Adversarial ...

MPSE identifies newborns for whole genome sequencing within 48 h of NICU admission.

Identifying critically ill newborns who will benefit from whole genome sequencing (WGS) is difficult and time-consuming due to complex eligibility cri...

AI-Supported Documentation and Clinical Monitoring in Palliative Care: A Real-World Observational Study.

BackgroundPatients in palliative care often experience prolonged hospital stays, requiring detailed documentation, complex symptom management, and mul...

Machine Learning-Assisted Spray Pyrolysis for the Synthesis of Single-Atom Fe-N-C Porous Hollow Microspheres for Zinc-Air Batteries.

Non-noble metal single-atom catalysts with high catalytic activity have garnered considerable attention from researchers in recent years. Yet, their s...

Use of natural language processing to identify inflammatory breast cancer cases across a healthcare system.

Early identification and referral of inflammatory breast cancer (IBC) remains challenging within large healthcare systems, limiting access to speciali...

Evaluating Equity in Usage and Effectiveness of the CONCERN Early Warning System.

BACKGROUND: The CONCERN Early Warning System (CONCERN EWS) is an artificial intelligence based clinical decision support system (AI-CDSS) for predicti...

Clinical phenotypes and risk of early hemodynamic deterioration in intermediate-high-risk patients with acute pulmonary embolism.

INTRODUCTION: Intermediate-high-risk pulmonary embolism (PE) patients face elevated risks of sudden clinical deterioration in early hours after sympto...

Echocardiography for short-term mechanical circulatory support: a trans-Atlantic practical guide.

Short-term mechanical circulatory support (stMCS) devices are increasingly utilized for haemodynamic stabilization in patients with cardiogenic shock....