Surveys

Evaluation of the reliability and readability of answers given by chatbots to frequently asked questions about endophthalmitis: A cross-sectional study on chatbots.

This study aimed to investigate the accuracy, reliability, and readability of A-Eye Consult, ChatGP...

Reducing bias in healthcare artificial intelligence: A white paper.

Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no c...

BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.

To develop and test an NLP algorithm that accurately detects the presence of information reported f...

Performance and Reliability Evaluation of an Automated Bone-Conduction Audiometry Using Machine Learning.

To date, pure-tone audiometry remains the gold standard for clinical auditory testing. However, pure...

Data-Driven Clinical Pharmacy Research: Utilizing Machine Learning and Medical Big Data.

To conduct clinical pharmacy research, we often face the limitations of conventional statistical met...

AI-based epidemic and pandemic early warning systems: A systematic scoping review.

Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) ca...

CLINICAL REASONING AND ARTIFICIAL INTELLIGENCE: CAN AI REALLY THINK?

Artificial intelligence (AI) in the form of ChatGPT has rapidly attracted attention from physicians ...

Simplifying Alzheimer's Disease Monitoring: A Novel Machine-Learning Approach to Estimate the Clinical Dementia Rating Sum of Box Changes Using the Mini-Mental State Examination and Functional Activities Questionnaire.

BACKGROUND: Primary outcome measure in the clinical trials of disease modifying therapy (DMT) drugs ...

Explainable deep learning enhances robust and reliable real-time monitoring of a chromatographic protein A capture step.

The application of model-based real-time monitoring in biopharmaceutical production is a major step ...

A Deep Learning Pipeline for Assessing Ventricular Volumes from a Cardiac MRI Registry of Patients with Single Ventricle Physiology.

Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...

Application of neural networks for the detection of oral cancer: A systematic review.

One potential application of neural networks (NNs) is the early-stage detection of oral cancer. This...

Development and evaluation of acceptance scale for artificial intelligence in digestive endoscopy by subjects.

OBJECTIVES: Digestive endoscopy is an important diagnostic and therapeutic tool for digestive system...

Automation Bias and Assistive AI: Risk of Harm From AI-Driven Clinical Decision Support.

Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study.

IMPORTANCE: Artificial intelligence (AI) could support clinicians when diagnosing hospitalized patie...

Initial experience with robot-assisted ureteroscopy with Ily® Robot.

The aim of this study is to present the first Italian experience with robotic-assisted retrograde in...

Spatially Explicit Correction of Simulated Urban Air Temperatures Using Crowdsourced Data.

Urban climate model evaluation often remains limited by a lack of trusted urban weather observations...

State of the Journal, 2023.

The American Journal of Occupational Therapy (AJOT) has maintained its top-ranking status in the fie...

Racial Bias Exacerbated through AI: An Example Using Chest Radiograph Models.

Artificial Collective Intelligence Engineering: A Survey of Concepts and Perspectives.

Collectiveness is an important property of many systems-both natural and artificial. By exploiting a...

Discard or not discard, that is the question: an international survey across 117 embryologists on the clinical management of borderline quality blastocysts.

STUDY QUESTION: Do embryologists from different European countries agree on embryo disposition decis...

Artificial intelligence suppression as a strategy to mitigate artificial intelligence automation bias.

BACKGROUND: Incorporating artificial intelligence (AI) into clinics brings the risk of automation bi...