AIMC Topic: Evaluation Studies as Topic

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Area under the ROC Curve has the most consistent evaluation for binary classification.

PloS one
The proper use of model evaluation metrics is important for model evaluation and model selection in binary classification tasks. This study investigates how consistent different metrics are at evaluating models across data of different prevalence whi...

Analyzing evaluation methods for large language models in the medical field: a scoping review.

BMC medical informatics and decision making
BACKGROUND: Owing to the rapid growth in the popularity of Large Language Models (LLMs), various performance evaluation studies have been conducted to confirm their applicability in the medical field. However, there is still no clear framework for ev...

Reducing negative emotions in children using social robots: systematic review.

Archives of disease in childhood
BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots ...

Artificial Intelligence-Assisted System in Postoperative Follow-up of Orthopedic Patients: Exploratory Quantitative and Qualitative Study.

Journal of medical Internet research
BACKGROUND: Patient follow-up is an essential part of hospital ward management. With the development of deep learning algorithms, individual follow-up assignments might be completed by artificial intelligence (AI). We developed an AI-assisted follow-...

Chestnut shells (Italian cultivar "Marrone di Roccadaspide" PGI): Antioxidant activity and chemical investigation with in depth LC-HRMS/MS rationalization of tannins.

Food research international (Ottawa, Ont.)
In Italy a particularly valuable chestnut is "Marrone di Roccadaspide", a protected geographical indication (PGI) product, deriving from a Castanea sativa cultivar, typical of Salerno province in Campania region. As chestnut industrial processes yiel...

Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAFLD) by comparing 3 image-processing techniques.

Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications.

Yearbook of medical informatics
OBJECTIVES: This paper draws attention to: i) key considerations for evaluating artificial intelligence (AI) enabled clinical decision support; and ii) challenges and practical implications of AI design, development, selection, use, and ongoing surve...

Distal pancreatectomy with en-bloc celiac axis resection (DP-CAR) through retroperitoneal-first laparoscopic approach (Retlap): A novel strategy for achieving accurate evaluation of resectability and minimal invasiveness.

Surgical oncology
BACKGROUND: Distal pancreatectomy with en-bloc celiac axis resection (DP-CAR) for borderline resectable pancreatic body cancer is increasingly being performed [1,2]. For survival benefits, obtaining margin-free resection (R0 resection) is crucial [3]...

Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis.

Journal of evaluation in clinical practice
RATIONALE, AIMS, AND OBJECTIVES: Interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single treatment unit's outcome is studied over time, and the intervention is expected to "interrupt" the level and/or trend of th...

[Evaluation of equations using cystatin C for estimation of the glomerular filtration rate in healthy adult population of canidates for kidney donors.].

Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina)
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential kidney donors. Methods of measurement of GFR are impractical and complex, which led to development of equations to estimate GFR. Objective: To evalua...