Surveys

Benchmark evaluation of deepseek AI models in antibacterial clinical decision-making for infectious diseases.

BACKGROUND: Antimicrobial resistance (AMR) poses a global threat to public health, though AI models have shown transformative potential in combating AMR. China's DeepSeek, a novel open-source, low-cost, and locally deployable AI model, is increasingly integrated into clinical workflows for infectious diseases, yet the pharmacological validity and real-world impact of its recommended drugs remain p...

Extending the UTAUT Model: The role of cognitive flexibility in AI adoption in higher education.

The current study investigates the factors affecting students' behavioral intentions to utilize "artificial intelligence" (AI) applications in learning by extending the "unified theory of acceptance and use of technology" (UTAUT) model with the inclusion of cognitive flexibility. Data were collected from 315 undergraduate students and analyzed employing a two-step approach involving "structural eq...

Optimized Risk Assessment in Forensic Practice: A Comparison of Machine Learning and Manual Scoring Approaches.

As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains - which ...

Perspectives on biomechanical data: a cross-disciplinary survey of current practices, challenges, and future needs.

OBJECTIVES: The objective of this study was to assess the current usage, challenges, and specific needs regarding biomechanical data, with a focus on ...

Assignment of the Biological Identity of Breast Masses in Contrast-enhanced Spectral Computed Tomography Examinations of Chest Carried Out in Clinical Routine Diagnostics.

BACKGROUND: Focal breast lesions are observed in up to 5.8% of CT examinations performed in female patients for a wide variety of indications not affe...

Evaluating ambient artificial intelligence documentation: effects on work efficiency, documentation burden, and patient-centered care.

BACKGROUND AND SIGNIFICANCE: Ambient listening tools powered by generative artificial intelligence (GenAI) offer real-time, scribe-like support that r...

Artificial intelligence and computer-aided diagnosis in diagnostic decisions: 5 questions for medical informatics and human-computer interface research.

OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by supporting clinical decision-making, reducing diagnosti...

Biases in an artificial intelligence image-generator's depictions of healthy aging and Alzheimer's.

OBJECTIVE: This content analysis study investigates potential biases in image generation by 2 artificial intelligence (AI) tools, DALL-E 3 and Midjour...

Observer: creation of a novel multimodal dataset for outpatient care research.

OBJECTIVE: To support ambulatory care innovation, we created Observer, a multimodal dataset comprising videotaped outpatient visits, electronic health...

Seeing Is Believing? Exploring Gender Bias in Artificial Intelligence Imagery of Specialty Doctors.

BACKGROUND: In medicine and medical education, women are disproportionately affected by gender bias. Artificial intelligence (AI) is increasingly bein...

Evaluating the impact of deep learning-based image denoising on low-dose CT for lung cancer screening.

PURPOSE: Low-dose CT (LDCT) is increasingly being adopted as a preferred method for lung cancer screening. However, the accompanying rise in image noi...

Revisiting reliability with human and machine learning raters under scoring design and rater configuration in the many-facet Rasch model.

Constructed-response (CR) items are widely used to assess higher order skills but require human scoring, which introduces variability and is costly at...

A Critical Look at the Challenges of Conducting de-Identified Military Surveys.

Survey research has long been a cornerstone of behavioral health and medical research. With the growth of Internet-based survey platforms, accelerated...

Investigation of Bias Using ChatGPT-4 in Pain Management and Patient Profiling.

BACKGROUND: Large language models, such as ChatGPT (cGPT), are being integrated increasingly into clinical workflows and medical education. However, c...

Predicting nonresponse to sexual identity question in youth risk behavior surveillance: A machine learning analysis of complex survey data.

PURPOSE: To compare seven machine learning (ML) models developed to predict non-response to the sexual identity question in the 2023 Youth Risk Behavi...

[Regression analysis to calculate the time point of ROSC-A feasibility study].

BACKGROUND: A regression model to estimate the duration from the onset of resuscitation efforts to the return of spontaneous circulation (ROSC) could ...

Artificial intelligence-driven 3D surface-topography app for screening and monitoring adolescent scoliosis: early results from a single institution.

PURPOSE: Radiation-free tools, such as scoliometers, ultrasound, and Moiré topography, have been explored for monitoring Adolescent Idiopathic Scolios...

Representation Learning for Tabular Data: A Comprehensive Survey.

Tabular data, structured as rows and columns, is among the most prevalent data types in machine learning classification and regression applications. M...

Multi-omics analysis reveals features improving outcomes and immunotherapy resistance in MSS colorectal cancer.

In contrast to the MSI-H subtype, most microsatellite-stable (MSS) colorectal cancer (CRC) patients exhibit poor prognosis and limited responsiveness ...

Evaluating Plastic Surgery Chatbot Performance: Insights into Medical Triage, Classification Accuracy, and Escalation Trends.

BACKGROUND: The integration of AI chatbots into plastic surgery websites is now standard, providing asynchronous, real-time engagement for patients. A...