Information Technology

A deep state-space analysis framework for cancer patient latent state estimation and classification from EHR time-series data.

Advancements in deep learning technologies and an increase in medical data have enhanced the accurac...

Correlative analysis between ocular surface features and carotid plaque : A multimodal machine learning framework.

BACKGROUND AND OBJECTIVE: The diagnosis of carotid plaques plays an important role in revealing card...

Detection of Antithrombotic-Related Bleeding in Older Inpatients: Multicenter Retrospective Study Using Structured and Unstructured Electronic Health Record Data.

BACKGROUND: Bleeding complications are a major contributor to adverse drug events among older inpati...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, ser...

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk of intentional self-harm.

BACKGROUND: Suicide rates have increased over the last couple of decades globally, particularly in t...

From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology.

A Whole Slide Image (WSI) is a high-resolution digital image created by scanning an entire glass sli...

Digital hypertension in 2024-2025: emerging evidence and future directions.

Recent advances in digital technology are remarkable, and they are driving profound transformations ...

Development and validation of a neural network survival prediction model for ischemic heart disease.

BACKGROUND: Current risk prediction models for ischemic heart disease in clinical use are relatively...

Implementing an Artificial Intelligence Decision Support System in Radiology: Prospective Qualitative Evaluation Study Using the Nonadoption Abandonment Scale-Up, Spread, and Sustainability (NASSS) Framework.

BACKGROUND: Medical imaging remains at the forefront of advancements in adopting digital health tech...

Skin tone and clinical dataset from a prospective trial on acute care patients.

Although hypothesized to be the root cause of the pulse oximetry disparities, skin tone and its use ...

Implementation of electronic patient-reported outcomes in supportive care for oncology patients.

PURPOSE OF REVIEW: Patient-reported outcomes (PROs) have become increasingly important in oncology, ...

Integrated Health Technologies in Heart Failure: A Scientific Statement From the Heart Failure Society of America and the American Association of Heart Failure Nurses.

Integrated health technologies (IHTs) have emerged as promising tools for improving heart failure (H...

IKDP: Implicit Knowledge Enhanced Disease Prediction via heterogeneous admission sequence graphs.

Despite significant advances in deep learning for electronic health record (EHR) modeling, accuratel...

Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are incre...

Reproducing real-world clinical prediction models using the DIVE platform: A comparative validation study across three chronic diseases.

OBJECTIVES: The aim of this analysis is to evaluate the performance and reproducibility of the Pytho...

Health Insurance Portability and Accountability Act Liability in the Age of Generative Artificial Intelligence.

As artificial intelligence tools become increasingly integrated into emergency department workflows,...

[Telemedicine in heart failure : Evidence, benefits and future perspectives].

In recent years telemonitoring for heart failure (TmHi) has transitioned from project-based pilot ap...

A Framework for Healthcare from the Eye: Oculomics as a Powerful Window to Systemic Health.

PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemi...

A comparative evaluation of handling missing data points and modalities in electronic health records.

BACKGROUND: Healthcare data, generally available as electronic health records (EHR), provide rich in...

Correction to: Deep learning prediction of steep and flat corneal curvature using fundus photography in post‑COVID telemedicine era.

Dual Ontology-enhanced Clinical Decision Learning for First-admission Mortality Prediction.

Time-series based deep learning methods have significantly improved performance of predictive health...