[HTML][HTML] Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions

M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Background Clinical prediction is integral to modern healthcare, leveraging current and
historical medical data to forecast health outcomes. The integration of Artificial Intelligence …

[HTML][HTML] Artificial intelligence for diabetes: Enhancing prevention, diagnosis, and effective management

M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Introduction Diabetes, a major cause of premature mortality, affects millions globally, with its
prevalence increasing due to lifestyle factors and aging populations. This systematic review …

Obesity drug shortages are symptomatic of wider malaise

P Sumithran, FM Finucane… - Lancet (London …, 2024 - pubmed.ncbi.nlm.nih.gov
Obesity drug shortages are symptomatic of wider malaise Obesity drug shortages are
symptomatic of wider malaise Lancet. 2024 Apr 27;403(10437):1613-1615. doi: 10.1016/S0140-6736(23)01963-3 …

Assessment of weight change patterns following Roux en Y gastric bypass, one anastomosis gastric bypass and sleeve gastrectomy using change-point analysis

P Boustani, A Sheidaei, S Mokhber, A Pazouki - Scientific Reports, 2024 - nature.com
We aimed to assess the weight loss trend following Roux en Y Gastric Bypass (RYGB), One
Anastomosis Gastric Bypass (OAGB), and Sleeve Gastrectomy (SG), utilizing a change-point …

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 …

[HTML][HTML] Performance of a predictive weight loss model in terms of rapid detection of inadequate weight loss after Roux-en-Y gastric bypass

F Pugin, M Burgard, F Cherbanyk, B Egger - Surgery for Obesity and …, 2024 - Elsevier
Background Predictive weight loss models can help patients meet their expectations after
bariatric surgery and assist physicians in responding to deviations from the predicted weight …

Overview of the Last 71 Years of Metabolic and Bariatric Surgery: Content Analysis and Meta-analysis to Investigate the Topic and Scientific Evolution

EL Corrêa, LFP Cotian, JW Lourenço, CM Lopes… - Obesity Surgery, 2024 - Springer
Obesity is a worldwide epidemic, and bariatric surgery has become increasingly popular
due to its effectiveness in treating it. Therefore, understanding this area is of paramount …

Application of machine learning algorithms in classifying postoperative success in metabolic bariatric surgery: Acomprehensive study

JA Benítez-Andrades, C Prada-García… - Digital …, 2024 - journals.sagepub.com
Objectives Metabolic bariatric surgery is a critical intervention for patients living with obesity
and related health issues. Accurate classification and prediction of patient outcomes are vital …

Translation and Validation of the Brazilian Version of the European Obesity Academy Questionnaire on Patients' Motivations for Seeking Metabolic and Bariatric …

SR da Silva, W Yuan-Pang, ACB Dantas, D Pajecki… - Obesity Surgery, 2024 - Springer
Purpose Understanding patients' motives for undergoing metabolic and bariatric surgery
(MBS) is key to managing postoperative expectations. We aimed to translate and validate …

Two-Year Results of Sleeve Gastrectomy Combined with Posterior Fundoplication for Obesity Patients with Gastroesophageal Reflux Disease

T Bège, A Lasbleiz, S Boullu, B Gaborit, SV Berdah… - Obesity Surgery, 2024 - Springer
Methods This single-center retrospective study evaluated patients who underwent SG with
posterior fundoplication in the context of GERD between 2018 and 2021, with postoperative …