[HTML][HTML] Artificial intelligence in plastic surgery: current applications, future directions, and ethical implications

T Jarvis, D Thornburg, AM Rebecca… - … Surgery–Global Open, 2020 - journals.lww.com
Background: Artificial intelligence (AI) in healthcare delivery has become an important area
of research due to the rapid progression of technology, which has allowed the growth of …

[HTML][HTML] Big Data in cardiac surgery: real world and perspectives

A Montisci, V Palmieri, MT Vietri, S Sala… - Journal of cardiothoracic …, 2022 - Springer
Big Data, and the derived analysis techniques, such as artificial intelligence and machine
learning, have been considered a revolution in the modern practice of medicine. Big Data …

Big data and machine learning in plastic surgery: a new frontier in surgical innovation

J Kanevsky, J Corban, R Gaster… - Plastic and …, 2016 - journals.lww.com
Medical decision-making is increasingly based on quantifiable data. From the moment
patients come into contact with the health care system, their entire medical history is …

[HTML][HTML] Using Bayesian networks to predict long-term health-related quality of life and comorbidity after bariatric surgery: A study based on the Scandinavian obesity …

Y Cao, M Raoof, E Szabo, J Ottosson… - Journal of clinical …, 2020 - mdpi.com
Previously published literature has identified a few predictors of health-related quality of life
(HRQoL) after bariatric surgery. However, performance of the predictive models was not …

[HTML][HTML] Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a …

P Saux, P Bauvin, V Raverdy, J Teigny… - The Lancet Digital …, 2023 - thelancet.com
Background Weight loss trajectories after bariatric surgery vary widely between individuals,
and predicting weight loss before the operation remains challenging. We aimed to develop a …

[HTML][HTML] Effectiveness of bariatric surgical procedures: a systematic review and network meta-analysis of randomized controlled trials

JH Kang, QA Le - Medicine, 2017 - journals.lww.com
Background: Bariatric surgery has proved to be an effective strategy in treating obesity.
However, randomized controlled trials (RCTs) of 3 most common bariatric surgery …

[HTML][HTML] Clinical applications of artificial intelligence in robotic surgery

JE Knudsen, U Ghaffar, R Ma, AJ Hung - Journal of Robotic Surgery, 2024 - Springer
Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical
field, robotic surgery is the sector with some of the most innovative and impactful …

Application of artificial intelligence in surgery

XY Zhou, Y Guo, M Shen, GZ Yang - Frontiers of medicine, 2020 - Springer
Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …

The First web-based Iranian national obesity and metabolic surgery database (INOSD)

K Mohammad, SS Shahabi, K Alireza… - Obesity …, 2022 - search.proquest.com
Nowadays, with the increase in the number of bariatric and metabolic surgeries (BMS) and
the introduction of new bariatric methods, the registration of obesity and metabolic surgeries …

PBS: a prospective longitudinal multi-omics bariatric surgery cohort

Y Jiao, J Xue, S Chen, W Sun… - Precision Clinical …, 2023 - academic.oup.com
Obesity is an increasingly prevalent global health concern affecting∼ 13% of the worldwide
population and is associated with the development of conditions such as insulin resistance …