[HTML][HTML] Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models

CLA Navarro, JAA Damen, T Takada… - Journal of clinical …, 2023 - Elsevier
Objectives We evaluated the presence and frequency of spin practices and poor reporting
standards in studies that developed and/or validated clinical prediction models using …

[PDF][PDF] The position of artificial intelligence in the future of education: an overview

MM Mijwil, K Aggarwal, DS Mutar… - Journal of Applied …, 2022 - researchgate.net
In the modern era, artificial intelligence applications have become one of the most essential
and prominent aspirations of countries in their various organisations and sectors, especially …

Artificial intelligence and surgery: ethical dilemmas and open issues

L Cobianchi, JM Verde, TJ Loftus… - Journal of the …, 2022 - journals.lww.com
BACKGROUND: Artificial intelligence (AI) applications aiming to support surgical decision-
making processes are generating novel threats to ethical surgical care. To understand and …

[HTML][HTML] SPIN-PM: a consensus framework to evaluate the presence of spin in studies on prediction models

CLA Navarro, JAA Damen, M Ghannad… - Journal of Clinical …, 2024 - Elsevier
Objectives To develop a framework to identify and evaluate spin practices and its facilitators
in studies on clinical prediction model regardless of the modeling technique. Study Design …

Gamification reloaded: Current and future trends in gamification science

A Mazarakis - I-com, 2021 - degruyter.com
Gamification can help to increase motivation for various activities. As a fundamental concept
in HCI, gamification has connections with various fields involving mixed reality, health care …

Health technology assessment for cardiovascular digital health technologies and artificial intelligence: why is it different?

D Vervoort, DY Tam, HC Wijeysundera - Canadian Journal of Cardiology, 2022 - Elsevier
Innovations in health care are growing exponentially, resulting in improved quality of and
access to care, as well as rising societal costs of care and variable reimbursement. In recent …

Artificial intelligence in colorectal surgery: an AI-powered systematic review

A Spinelli, FM Carrano, ME Laino, M Andreozzi… - Techniques in …, 2023 - Springer
Artificial intelligence (AI) has the potential to revolutionize surgery in the coming years. Still,
it is essential to clarify what the meaningful current applications are and what can be …

Análisis de sentimientos con inteligencia artificial para mejorar el proceso enseñanza-aprendizaje en el aula virtual

EJF Masias, JHL Segovia, AG Casique… - Publicaciones, 2023 - revistaseug.ugr.es
Introducción: En los últimos años, el proceso de enseñanza-aprendizaje ha ido cambiando
del modo presencial al virtual de forma progresiva a nivel mundial, esto se aceleró …

Towards interpretable, medically grounded, EMR-based risk prediction models

I Twick, G Zahavi, H Benvenisti, R Rubinstein… - Scientific reports, 2022 - nature.com
Abstract Machine-learning based risk prediction models have the potential to improve
patient outcomes by assessing risk more accurately than clinicians. Significant additional …

Análisis de sentimientos con inteligencia artificial para mejorar el proceso enseñanza-aprendizaje en el aula virtual

EJ Flores Masías, JH Livia Segovia, A García Casique… - 2023 - digibug.ugr.es
Introduction: In recent years, the teaching-learning process has been changing from face-to-
face to virtual mode progressively worldwide, this was significantly accelerated due to the …