AIMC Topic: Artificial Intelligence

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The impact of AI explanations on clinicians' trust and diagnostic accuracy in breast cancer.

Applied ergonomics
Advances in machine learning have created new opportunities to develop artificial intelligence (AI)-based clinical decision support systems using past clinical data and improve diagnosis decisions in life-threatening illnesses such breast cancer. Pro...

Anaesthesia in 2050: how emerging technologies will transform our practice: The Sir Robert Macintosh Lecture 2025.

European journal of anaesthesiology
In the next 25 years, we will see unprecedented technological progress due to the artificial intelligence (AI) revolution. AI-driven advances will be made in five strongly interconnected domains: reenergised drug discovery, continuous real-time monit...

GPT-4o and Specialized AI in Breast Ultrasound Imaging: A Comparative Study on Accuracy, Agreement, Limitations, and Diagnostic Potential.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: This study aimed to evaluate the ability of ChatGPT and Breast Ultrasound Helper, a special ChatGPT-based subprogram trained on ultrasound image analysis, to analyze and differentiate benign and malignant breast lesions on ultrasound imag...

Super-resolution for localizing electrode grids as small, deformable objects during epilepsy surgery using augmented reality headsets.

International journal of computer assisted radiology and surgery
PURPOSE: Epilepsy surgery is a potential curative treatment for people with focal epilepsy. Intraoperative electrocorticogram (ioECoG) recordings from the brain guide neurosurgeons during resection. Accurate localization of epileptic activity and thu...

A Systematic Review of the Clinical Impact of Implementing Artificial Intelligence in Upper Aerodigestive Tract Endoscopy.

Head & neck
BACKGROUND: Endoscopy is essential in upper aerodigestive tract (UADT) examination, particularly in the early detection of laryngopharyngeal lesions. However, UADT endoscopy remains operator-dependent and lacks standardized quality metrics. Recent ad...

Artificial intelligence versus ophthalmology experts: Comparative analysis of responses to blepharitis patient queries.

European journal of ophthalmology
ObjectiveTo assess the accuracy and clinical education value of responses from AI models (GPT-3.5, GPT-4o, Gemini, Gemini Advanced) compared to expert ophthalmologists' answers to common patient questions about blepharitis, and evaluate their potenti...

Exploring the potential of AI-powered applications for clinical decision-making in gynecologic oncology.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: The rise of artificial intelligence (AI) and large language models like Llama, Gemini, or Generative Pretraining Transformer (GPT) signals a promising new era in natural language processing and has significant potential for application in ...

Evaluation of an AI facial recognition system for Turner Syndrome screening and facial complexity: a prospective cohort.

International journal of medical informatics
PURPOSE: Artificial intelligence-based facial recognition (AI-FR) is promising in diagnosis of diseases with distinct facial features. Our team has retrospectively constructed an AI-FR system for Turner Syndrome (TS) based on 1295 facial photographs ...

The role of artificial intelligence in implant dentistry: a systematic review.

International journal of oral and maxillofacial surgery
The aim of this systematic review was to comprehensively analyse recent studies on the application of artificial intelligence (AI) in dental implantology. The PRISMA guidelines were followed. Five databases were accessed: Scopus, Web of Science, MEDL...

Adversarial artificial intelligence in radiology: Attacks, defenses, and future considerations.

Diagnostic and interventional imaging
Artificial intelligence (AI) is rapidly transforming radiology, with applications spanning disease detection, lesion segmentation, workflow optimization, and report generation. As these tools become more integrated into clinical practice, new concern...