[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 …
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 …
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 …
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 …
(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 …
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 …
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 …
However, randomized controlled trials (RCTs) of 3 most common bariatric surgery …
[HTML][HTML] Clinical applications of artificial intelligence in robotic surgery
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 …
field, robotic surgery is the sector with some of the most innovative and impactful …
Application of artificial intelligence in surgery
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 …
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 …
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 …
population and is associated with the development of conditions such as insulin resistance …