Information Technology

[Beyond the bladder-a specialty rediscovering itself: Outpatient. Networked. Digital].

BACKGROUND: Urology is undergoing a fundamental transformation characterized by increasing outpatient care, digitalization, and cross-sectoral networking. OBJECTIVE: The aim of this review is to analyze current developments and to show how outpatient surgery, telemedicine structures, artificial intelligence (AI)-based decision support, and networked care models are transforming urological practice...

[Digital transformation in multiple sclerosis: Advances in diagnostics, monitoring and patient-centred care].

Digital transformation is fundamentally changing the diagnosis, monitoring and treatment of multiple sclerosis. The integration of multimodal data from imaging, laboratory tests, clinical assessments, patient-reported outcomes and continuous measurements via wearables is creating high-resolution, longitudinal profiles of disease progression. Based on this data, modern analysis methods and artifici...

HCCD-DS v2: a transparent synthetic benchmark for human-AI decision support under contextual uncertainty.

Decision support pipelines increasingly combine machine learning predictions with human judgment, yet most public benchmarks evaluate model outputs on...

LwHM: lightweight hybrid classifier for SDN-attack detection using recursive feature elimination.

Internet connectivity has significantly enhanced the efficiency of daily operations, information retrieval, and global communication. However, this he...

Preoperative considerations for nonoperating room anesthesia.

PURPOSE OF THE REVIEW: This review aims to address the unique challenges in nonoperating room anesthesia (NORA) locations, emphasizing the importance ...

Ambient AI Scribe Implementation in an Ambulatory Setting in a Single Medical Group: Prospective Study.

BACKGROUND: Health care providers spend an excessive amount of time within electronic medical record (EMR) systems documenting patient encounters, oft...

A bibliometric analysis of the application trends of information technology in antimicrobial stewardship within hospitals.

OBJECTIVES: This study uses bibliometric analysis to systematically map research trends, knowledge structure and evolution of information technology (...

[Keeping track of things: large language models for patient synopses : Source-bound system for clinical information systems].

BACKGROUND: The increasing documentation burden in electronic health records makes it difficult to obtain a rapid overview of relevant prior informati...

Blockchain-Based Dynamic and Revocable Consent for Secondary Health Data Use: Systematic Review.

BACKGROUND: The secondary use of health data holds substantial potential for advancing biomedical research, strengthening population health analytics,...

Natural language processing to enhance rheumatoid arthritis care in clinical studies: a scoping review of applications, data, approaches, challenges and future directions.

Structured claims or EMR datasets have limitations, such as lacking important clinical variables, upcoding, or potential coding errors. Unstructured d...

AI in the NICU: Considerations for Nursing Practice and Advocacy in Quality Care Outcomes for Patients and Families.

BACKGROUND: Neonatal nurses and APRNs may not recognize when AI drives an alert, recommendation, or summary unless training and policy make it explici...

An AI-driven framework for cybersecurity awareness and user trust in indian digital banking.

The rapid expansion of digital banking in India has heightened concerns regarding cybersecurity, significantly influencing user trust in online financ...

Beyond snapshot dosing: a dynamic living digital twin framework for model-informed precision dosing in critical illness.

INTRODUCTION: Model-Informed Precision Dosing (MIPD) has improved individualized therapy, but in critical illness its reliance on intermittently updat...

OMOP common data model transformation: leveraging a nationwide.

OBJECTIVE: To demonstrate a large-scale EHR data transformation to the Observational Medical Outcomes Partnership (OMOP) Common Data model in the OCHI...

Rethinking health technology assessment in robotic surgery: an EFISDS-TROGSS position paper. Official position paper of the European Federation - International Society for Digestive Surgery (EFISDS) and The Robotic Global Surgical Society (TROGSS).

Robotic-assisted surgery (RAS) has evolved from a procedural innovation into an increasingly integrated component of contemporary digital surgical eco...

Integrating Psychosocial Factors into Artificial Intelligence Models for Predicting Addiction Treatment Outcomes: A Systematic Review.

INTRODUCTION: The integration of artificial intelligence (AI) into addiction research has expanded rapidly, yet it remains unclear how psychosocial, b...

Clinical large language model centered on electronic medical records.

In the quest to enhance medical consultation, our study introduces AI4Doctor, a sophisticated large-language model (LLM) tailored for the clinical dom...

Regulating digital surgery to balance safety and innovation: a SAGES white paper.

BACKGROUND: Digital surgery technologies, including robotic systems, artificial intelligence (AI) algorithms, augmented reality platforms, and advance...

Novel technologies and innovations in postoperative follow-up after regional anesthesia.

PURPOSE OF REVIEW: Postoperative follow-up after regional anesthesia is essential for identifying complications, distinguishing expected block effects...

Biom3d, a modular framework to host and develop 3D segmentation methods.

Bioimage frameworks based on artificial intelligence (AI) offer powerful tools for image segmentation, but their technical overhead often creates a ga...