Surveys

ICU Open-Access Databases for Artificial Intelligence in Sepsis: Balancing Innovation With Data Quality Challenges.

OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Information Mart for Intensive Care IV [MIMIC-IV], eICU Collaborative Research Database [eICU-CRD], and Amsterdam University Medical Center Database [AmsterdamUMCdb]) for artificial intelligence (AI)-based sepsis research, with a focus on data completeness, internal consistency, terminological standardization...

Deep Learning-guided Late-Phase Dynamic Frame Prediction for Accelerated Patlak Analysis in 18F-FDG-PET Brain Imaging.

PURPOSE: Dynamic 18F-FDG-PET enables the quantitative assessment of cerebral glucose metabolism but requires prolonged acquisition times, which pose challenges to patients presenting with neurodegenerative disorders. This study aims to use deep learning to reduce dynamic FDG-PET scan duration while preserving quantitative kinetic modeling accuracy by predicting late-phase PET frames from intermedi...

Machine learning for functional outcome prediction after vestibular schwannoma surgery: a systematic review and diagnostic test accuracy meta-analysis.

PURPOSE: Machine learning (ML) models have been increasingly applied to predict postoperative facial nerve dysfunction and hearing preservation after ...

Physician-revised AI-generated drafts are associated with higher ratings of written explanations in end-of-life care in the intensive care unit: a scenario-based single-center cross-sectional study.

BACKGROUND: In end-of-life care (EOL) in the intensive care unit (ICU), intensivists are expected to provide medically appropriate and empathetic comm...

A drift-aware framework for reliability assessment and image-based interpretation of atomic force microscopy measurements.

Drift is one of the primary sources of uncertainty limiting the accuracy, repeatability, and reliability of scanning probe microscopy (SPM) measuremen...

Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study.

This study evaluates the reliability and participants' responses to a contactless artificial intelligence (AI) device powered by Remote Photoplethysmo...

Digital infrastructure and readiness for artificial intelligence (AI) - enabled dentistry: technology adoption and barriers among dental practitioners in Bengaluru, India.

To assess digital readiness for AI-enabled dentistry by evaluating the uptake of digital technologies, patterns of use, and implementation barriers am...

Ethics of Autonomous AI Clinical Trials: Delphi Study.

BACKGROUND: Safe implementation of autonomous AI in medicine requires rigorous evaluation through clinical trials. The 7 guiding principles for ethica...

A large language models-assisted and expert-corrected workflow for preoperative anesthesia assessment drafts: A single-centre exploratory feasibility study.

BACKGROUND: Large language models (LLMs) may help organize clinical information, but their use in perioperative settings requires careful evaluation b...

DeepLitterAI: Automated detection and quantification of deep-sea benthic plastic and macrolitter with field validation in waters around Japan.

Deep-sea imagery is a non-destructive tool for monitoring seafloor litter, but manual inspection limits its scalability. DeepLitterAI, a YOLOv11x-base...

Concurrent validity and reliability of an artificial intelligence-assisted physiotherapy assessment system for maximal mouth opening, cervical, and shoulder range of motion in patients with oral cancer.

PURPOSE: Accurate assessment of joint range of motion (ROM) and maximal mouth opening (MMO) is essential in the rehabilitation of patients with oral c...

ChatGPT as a source of surgical information: Evaluation of responses to patient questions on hallux rigidus fusion.

BACKGROUND: Patients are increasingly turning to online resources and artificial intelligence (AI)-based tools to obtain information about orthopedic ...

Temporal shifts in public perceptions of influenza and its vaccine before, during, and after COVID-19 in a fragile nation.

BACKGROUND: Since the emergence of the COVID-19 pandemic, co-infection with COVID-19 and influenza has been associated with adverse health and economi...

AI Dependency and Brain Rot Among Nursing Students: A Mixed-Methods Study.

BACKGROUND: Artificial intelligence (AI) can be beneficial in tailoring learning experiences to each student's learning style, needs, and preferences....

Observer-Blinded Comparison of Virtual and Manual Finger ROM in AI-Based 3-Dimensional Hand Models.

PURPOSE: To examine the validity, agreement, and intra- and inter-rater reliability of an artificial intelligence (AI)-based 3-dimensional hand modeli...

A Systematic Evaluation of Cohort Selection Criteria and Their Impact on Machine Learning Model Performance and Demographic Disparities in COVID-19 Outcomes: Cohort Study.

BACKGROUND: Cohort selection criteria play a critical role in shaping machine learning (ML) model performance and the equity of clinical outcome predi...

Prediction of delayed graft function after kidney transplantation using artificial intelligence and machine learning: A Systematic Review.

INTRODUCTION: Delayed graft function (DGF) is a frequent early complication after kidney transplantation. We systematically reviewed artificial intell...

3D interactive radiology reports: referring physicians' acceptance of artificial intelligence varies across practice settings.

INTRODUCTION: A 3D interactive report is a state-of-the-art artificial intelligence (AI) tool that integrates a patient's imaging history into an intu...

Local data matters: Improving biodiversity risk and impact assessment through a data quality focus.

Widespread degradation of nature has increased pressure on corporations and financial institutions to assess and mitigate their biodiversity impact, h...

Comparative Evaluation of Large Language Models in Answering Patient Questions Following Periodontal and Peri-Implant Examination: An Expert-Based Study.

INTRODUCTION: Large language models (LLMs) are increasingly utilized for medical and dental information retrieval, yet their ability to interpret auth...