AIMC Topic: Humans

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Evaluating the concordance of ChatGPT and physician recommendations for bariatric surgery.

Canadian journal of physiology and pharmacology
Integrating artificial intelligence (AI) into healthcare prompts the need to measure its proficiency relative to human experts. This study evaluates the proficiency of ChatGPT, an OpenAI language model, in offering guidance concerning bariatric surge...

Predicting intraoperative 5-ALA-induced tumor fluorescence via MRI and deep learning in gliomas with radiographic lower-grade characteristics.

Journal of neuro-oncology
PURPOSE: Lower-grade gliomas typically exhibit 5-aminolevulinic acid (5-ALA)-induced fluorescence in only 20-30% of cases, a rate that can be increased by doubling the administered dose of 5-ALA. Fluorescence can depict anaplastic foci, which can be ...

Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis.

Microbiology spectrum
The Nugent score is a commonly used diagnostic tool for bacterial vaginosis. However, its accuracy depends on the skills of laboratory technicians. This study aimed to evaluate the performance of deep learning models in predicting the Nugent score to...

Comprehensive review of dysphagia and technological advances in dysphagia food.

Food research international (Ottawa, Ont.)
As the global population ages, dysphagia is becoming increasingly common among the elderly, posing serious risks such as choking, aspiration pneumonia, and even death. Leveraging advanced technologies to develop specialized food products for those wi...

Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review.

Psychiatry research
The youth mental health crisis is exacerbated by limited access to care and resources. Mobile health (mHealth) platforms using predictive artificial intelligence (AI) can improve access and reduce barriers, enabling real-time responses and precision ...

Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
INTRODUCTION: Precise localization of the epileptogenic zone is critical for successful epilepsy surgery. However, imbalanced datasets in terms of epileptic vs. normal electrode contacts and a lack of standardized evaluation guidelines hinder the con...

Quantifying the Scope of Artificial Intelligence-Assisted Writing in Orthopaedic Medical Literature: An Analysis of Prevalence and Validation of AI-Detection Software.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: The popularization of generative artificial intelligence (AI), including Chat Generative Pre-trained Transformer (ChatGPT), has raised concerns for the integrity of academic literature. This study asked the following questions: (1) Has ...

Evaluating ChatGPT's competency in radiation oncology: A comprehensive assessment across clinical scenarios.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PURPOSE: Artificial intelligence (AI) and machine learning present an opportunity to enhance clinical decision-making in radiation oncology. This study aims to evaluate the competency of ChatGPT, an AI language model, in interpreting clinical scenari...

Blip-up blip-down circular EPI (BUDA-cEPI) for distortion-free dMRI with rapid unrolled deep learning reconstruction.

Magnetic resonance imaging
PURPOSE: BUDA-cEPI has been shown to achieve high-quality, high-resolution diffusion magnetic resonance imaging (dMRI) with fast acquisition time, particularly when used in conjunction with S-LORAKS reconstruction. However, this comes at a cost of mo...