AIMC Topic: Cross-Sectional Studies

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Use of natural language processing method to identify regional anesthesia from clinical notes.

Regional anesthesia and pain medicine
INTRODUCTION: Accurate data capture is integral for research and quality improvement efforts. Unfortunately, limited guidance for defining and documenting regional anesthesia has resulted in wide variation in documentation practices, even within indi...

Performance of a Deep Learning Diabetic Retinopathy Algorithm in India.

JAMA network open
IMPORTANCE: While prospective studies have investigated the accuracy of artificial intelligence (AI) for detection of diabetic retinopathy (DR) and diabetic macular edema (DME), to date, little published data exist on the clinical performance of thes...

Interpretation of cardiopulmonary exercise test by GPT - promising tool as a first step to identify normal results.

Expert review of respiratory medicine
BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea. However, its interpretation requires expertise that is often not available. We aim to evaluate the utility of ChatGPT (GPT) in interpreting CPET res...

Is there any room for ChatGPT AI bot in speech-language pathology?

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PURPOSE: This study investigates the potential of the ChatGPT-4.0 artificial intelligence bot to assist speech-language pathologists (SLPs) by assessing its accuracy, comprehensiveness, and relevance in various tasks related to speech, language, and ...

Evaluating the Performance of Artificial Intelligence for Improving Readability of Online English- and Spanish-Language Orthopaedic Patient Educational Material: Challenges in Bridging the Digital Divide.

The Journal of bone and joint surgery. American volume
BACKGROUND: The readability of most online patient educational materials (OPEMs) in orthopaedic surgery is above the American Medical Association/National Institutes of Health recommended reading level of sixth grade for both English- and Spanish-lan...

Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study.

Journal of medical Internet research
BACKGROUND: The rapid evolution of artificial intelligence (AI) presents transformative potential for diagnostic medicine, offering opportunities to enhance diagnostic accuracy, reduce costs, and improve patient outcomes.

Is personality associated with the lived experience of the NHS England low calorie diet programme: A pilot study.

Clinical obesity
This pilot study explored the use of a novel behavioural artificial intelligence (AI) tool to examine whether personality is associated with the lived experience of the NHS England launched a low calorie diet (LCD). A cross-sectional survey was disse...

Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China.

Scientific reports
Early diagnosis of Kawasaki disease (KD) allows timely treatment to be initiated, thereby preventing coronary artery aneurysms in children. However, it is challenging due to the subjective nature of the diagnostic criteria. This study aims to develop...