Risk Management

Artificial Intelligence-Based Simulation to Improve Code Status Discussions Among Internal Medicine Residents: A Pilot Randomized Trial.

BACKGROUND: Code status discussions (CSDs) are essential in clinical practice yet training modalities are often resource-intensive and not widely available. AIM: To evaluate whether artificial intelligence (AI)-driven simulation can enhance CSD training. SETTING: A public safety-net hospital affiliated with an academic medical center. PARTICIPANTS: Postgraduate year (PGY)-2 and PGY-3 internal medi...

Status, challenges, and future directions of machine learning in the management of epilepsy: a systematic review and meta-analysis.

BACKGROUND: Despite advances in epilepsy treatment options, selecting the appropriate therapy for an individual with epilepsy is a process of trial and error. Machine learning holds the potential to support clinical decision making. We aimed to provide an overview of the role of machine learning in epilepsy management and discuss future directions. METHODS: In this systematic review and meta-analy...

Optimizing Brachial Plexus Diffusion Tensor Imaging: The Impact of Deep Learning Reconstruction and Simultaneous Multislice Acceleration on Single-shot Echo-planar Imaging.

OBJECTIVES: This study aimed (1) to quantify the differential impact of deep learning (DL) reconstruction on brachial plexus (BP) diffusion tensor ima...

PI-QUAL in Clinical Practice: Rationale and a Step-by-Step Approach to Implementation.

Prostate MRI has become integral to prostate cancer diagnosis and management, extending beyond prebiopsy triage to biopsy guidance, local staging, act...

Combined predictive value of TyG index and PLR for mental health in Chinese adults: A machine learning approach.

OBJECTIVE: To investigate the independent and combined associations of the triglyceride-glucose (TyG) index and platelet-to-lymphocyte ratio (PLR) wit...

An Image Feature Learning Protocol Based on Image-Level Garment Component Topology for Design Reference Retrieval.

Clothing image retrieval methods often emphasize color and texture, which can lead to confusion between garments that share a similar appearance but d...

Data-Driven Student Interest Identification for Intelligent Teaching Management Systems in Engineering Colleges.

This protocol presents a quantum-inspired computational framework for identifying engineering students' interests using multidimensional educational a...

Occlusal Devices Automatically Designed by Using Different Artificial Intelligence-Based Programs: A Case Report.

OBJECTIVE: To describe the clinical workflow for obtaining intraoral scans, fabricating occlusal devices using different artificial intelligence (AI)-...

Current evidence of generative artificial intelligence specifically developed for dental and maxillofacial radiology: a systematic review.

OBJECTIVES: This systematic review aimed to investigate the current development and application landscape of generative artificial intelligence (Gen-A...

Navigating Human Astrocyte Differentiation: Direct and Rapid One-Step Differentiation of Induced Pluripotent Stem Cells to Functional Astrocytes Supporting Neuronal Network Development.

Astrocytes play a pivotal role in neuronal network development. Despite the well-known role of astrocytes in the pathophysiology of neurologic disorde...

Dedicated Endoscopy for Barrett's Oesophagus With Higher Dysplasia Yield May Reduce Seattle Protocol Biopsies: Results From UK Multicentre Study.

BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than conventional service, according to some single cen...

Harnessing Artificial Intelligence to Strengthen Acute and Critical Care Nursing Practice: A Systematic Review.

BACKGROUND: Artificial intelligence (AI) is reshaping clinical decision support systems (CDSSs). In acute and critical care, nurses provide continuous...

Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical o...

AI scribe functions in psychiatric practice: clinical oversight, consent, and regulation.

Ambient artificial intelligence (AI) documentation tools, known as AI scribes, have entered psychiatric clinical practice, bundling at least three ope...

Trusting the Algorithm or Trusting the Nurse? Critical Care Nurses' Experiences of Automation Bias and Professional Autonomy in AI-Assisted Early Warning.

BACKGROUND: Artificial intelligence-assisted early warning systems (AI-EWS) are increasingly integrated into critical care, yet little is known about ...

Evaluating the Accuracy, Empathy, and Readability of Generative AI Versus Registered Nurses in Discharge Planning: A Vignette-Based Study.

AIM: To compare the multidimensional performance of discharge instructions generated by generative AI (GPT-4) versus those created by clinical registe...

A strategic pathway for the ethical development of AI tools in dementia care.

Artificial intelligence (AI) is rapidly entering dementia clinical practice, offering opportunities across the care continuum. However, cognitive decl...

Integration of artificial intelligence and multi-omics for precision medicine.

Precision medicine requires computational methods that can integrate genomic, transcriptomic, proteomic, metabolomic, epigenomic, single-cell and spat...

Acquisition Time-Specific Deep Learning-Guided Image Quality Restoration in Accelerated I-123 DaTSCAN Brain SPECT on a Ring-Shaped CZT-Based Camera.

Brain single-photon emission computed tomography (SPECT) imaging using I-123 DaTSCAN is an effective tool for the diagnosis and follow-up of Parkinson...

Smartphone-Based Fundus Imaging in Global Eye Care: Closing the Gap.

Smartphone-based fundus imaging (SBFI) is an emerging approach with potential relevance for global ophthalmic care, including in low- and middle-incom...