AIMC Topic: Artificial Intelligence

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The Role of AI in Cardiovascular Event Monitoring and Early Detection: Scoping Literature Review.

JMIR medical informatics
BACKGROUND: Artificial intelligence (AI) has shown exponential growth and advancements, revolutionizing various fields, including health care. However, domain adaptation remains a significant challenge, as machine learning (ML) models often need to b...

Bing chat for kidney stone management questions based on the AUA guidelines: a comparison of chatbot conversation style modes.

World journal of urology
PURPOSE: Artificial intelligence (AI) technology will inevitably permeate healthcare. Bing Chat is an AI chatbot with different conservation styles. We evaluated each of these response mode answers regarding management of nephrolithiasis.

Assessing the performance of large language models (GPT-3.5 and GPT-4) and accurate clinical information for pediatric nephrology.

Pediatric nephrology (Berlin, Germany)
BACKGROUND: Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offering significant advancements in providing accurate clinical information. However, the performance and applicability of AI models in specialized fields s...

Artificial intelligence for the detection of airway nodules in chest CT scans.

European radiology
OBJECTIVES: Incidental airway tumors are rare and can easily be overlooked on chest CT, especially at an early stage. Therefore, we developed and assessed a deep learning-based artificial intelligence (AI) system for detecting and localizing airway n...

Added value of artificial intelligence for the detection of pelvic and hip fractures.

Japanese journal of radiology
PURPOSE: To assess the added value of artificial intelligence (AI) for radiologists and emergency physicians in the radiographic detection of pelvic fractures.

Artificial intelligence-based deep learning algorithms for ground-glass opacity nodule detection: A review.

Narra J
Ground-glass opacities (GGOs) are hazy opacities on chest computed tomography (CT) scans that can indicate various lung diseases, including early COVID-19, pneumonia, and lung cancer. Artificial intelligence (AI) is a promising tool for analyzing med...

Evaluating the role of AI chatbots in patient education for abdominal aortic aneurysms: a comparison of ChatGPT and conventional resources.

ANZ journal of surgery
BACKGROUNDS: Abdominal aortic aneurysms (AAA) carry significant risks, yet patient understanding is often limited, with online resources typically low quality. ChatGPT, an artificial intelligence (AI) chatbot, presents a new frontier in patient educa...

Investigating Whether AI Will Replace Human Physicians and Understanding the Interplay of the Source of Consultation, Health-Related Stigma, and Explanations of Diagnoses on Patients' Evaluations of Medical Consultations: Randomized Factorial Experiment.

Journal of medical Internet research
BACKGROUND: The increasing use of artificial intelligence (AI) in medical diagnosis and consultation promises benefits such as greater accuracy and efficiency. However, there is little evidence to systematically test whether the ideal technological p...

On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments.

BMC medical informatics and decision making
The necessity for explainability of artificial intelligence technologies in medical applications has been widely discussed and heavily debated within the literature. This paper comprises a systematized review of the arguments supporting and opposing ...

Assessing operative variability in robot-assisted radical prostatectomy (RARP) through AI.

Journal of robotic surgery
Robotic-assisted radical prostatectomy (RARP) is the most commonly performed robotic procedure in urology. Using artificial intelligence (AI), surgical steps and practices can be assessed and validated through surgical video, and connected to patient...