Artificial Intelligence Medical Compendium

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading cause of vision impairment worldwide. Despite advancements in pharmacotherapy, challenges such as poor intraocular bioavailability, rapid drug clearance, ... read more 

BACKGROUND: The 2024 revision of the Declaration of Helsinki (DoH) marks a pivotal shift in biomedical research ethics, with significant implications for nursing research. This paper critically evaluates the Declaration's relevance to nursing practic... read more 

This study aimed to identify patient characteristics linked to mistaken treatments and major adverse cardiovascular events (MACE) in percutaneous coronary intervention (PCI) for coronary artery disease (CAD) using deep learning-based fractional flow ... read more 

INTRODUCTION: Chest X-rays (CXR) rank among the most conducted X-ray examinations. They often require repeat imaging due to inadequate quality, leading to increased radiation exposure and delays in patient care and diagnosis. This research assesses t... read more 

Health professions educators face increasing demands to create evidence-based and student-centered content under time constraints, siloed environments, and fragmented workflows. We introduce a three-dimensional framework with integrated curation proc... read more 

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms in nonsmall cell lung cancer (NSCLC) prognostication. Studies were evaluated for the type of input data (histology and whether CT, PET, and MRI were ... read more 

To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused assessment protocols need to be developed. To date, most research on this topic has focused on whether traditional adverse childhood experiences (i.e., ... read more 

Oral drug delivery remains a clinically preferred route for colorectal cancer therapy due to its noninvasive nature and patient compliance. However, conventional formulations suffer from premature degradation in the gastric environment and poor site-... read more 

Hyperparameter optimization techniques can influence the prediction model(s) capabilities in terms of delivering reliable results. As a part of the development of the data-driven water quality (WQ) model(s), this research evaluated five hyperparamete... read more 

Delivering feedback is a critical skill that remains widely underdeveloped among medical educators. Faculty development in this area has traditionally relied on lectures and in-person workshops, limiting access, scalability, and opportunities for exp... read more