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Performance of Chat Generative Pre-trained Transformer-4o in the Adult Clinical Cardiology Self-Assessment Program.
Eur Heart J Digit Health
January 2025
Cardiovascular Center, Tufts Medical Center, 800 Washington Street, Boston, MA 02111, USA.
Aims: This study evaluates the performance of OpenAI's latest large language model (LLM), Chat Generative Pre-trained Transformer-4o, on the Adult Clinical Cardiology Self-Assessment Program (ACCSAP).
Methods And Results: Chat Generative Pre-trained Transformer-4o was tested on 639 ACCSAP questions, excluding 45 questions containing video clips, resulting in 594 questions for analysis. The questions included a mix of text-based and static image-based [electrocardiogram (ECG), angiogram, computed tomography (CT) scan, and echocardiogram] formats.
Bile Duct Injury During Laparoscopic Cholecystectomy: Has Anything Changed in 32 Years of Queensland Experience?
Cureus
December 2024
Hepatopancreatobiliary Surgery, Princess Alexandra Hospital, Brisbane, AUS.
Background Bile duct injury (BDI) is a serious complication of laparoscopic cholecystectomy (LC). Large studies report an incidence of 0.08%-0.
View Article and Find Full Text PDF"Play by play": A dataset of handball and basketball game situations in a standardized space.
Data Brief
February 2025
Universidade da Coruña, CITIC Research Center, A Coruña 15071, Spain.
This paper presents a synthetic dataset of labeled game situations in recordings of federated handball and basketball matches played in Galicia, Spain. The dataset consists of synthetic data generated from real video frames, including 308,805 labeled handball frames and 56,578 labeled basketball frames extracted from 2105 handball and 383 basketball 5-s video clips. Experts manually labeled the video clips based on the respective sports, while the individual frames were automatically labeled using computer vision and machine learning techniques.
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