Results 111 to 120 of about 201,393 (313)
Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence
Advanced Science, EarlyView.Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu +5 more
wiley +1 more source
Annals of Gastroenterological Surgery, EarlyView.We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu +5 more
wiley +1 more source
A comparative study of breast surface reconstruction for aesthetic outcome assessment [PDF]
, 2017 Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating different treatment alternatives.
Bishop, David +7 more
core +2 more sources
Supportive Care in Cancer, 2019 The Scored Patient-Generated Subjective Global Assessment (PG-SGA) is the only malnutrition (risk) assessment tool that combines patient-generated measures with professional-generated (medical) factors. We aimed to apply international standards to produce a high quality, validated, translation and cultural adaptation of the original PG-SGA for the ...
Nicole Erickson +7 more
openaire +3 more sources
Annals of Gastroenterological Surgery, EarlyView.This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya +8 more
wiley +1 more source
Modes and models in disorders of consciousness science [PDF]
, 2012 The clinical assessment of non-communicative brain damaged patients is extremely difficult and there is a need for paraclinical diagnostic markers of the level of consciousness.
Boly, Mélanie, Seth, Anil K
core +1 more source
A yeast fermentate improves gastrointestinal discomfort and constipation by modulation of the gut microbiome : results from a randomized double-blind placebo-controlled pilot trial [PDF]
, 2017 Background: Constipation and symptoms of gastrointestinal discomfort such as bloating are common among otherwise healthy individuals, but with significant impact on quality of life.
Marzorati, Massimo +6 more
core +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
Advanced Intelligent Systems, EarlyView.This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
Nutrition and Cancer, 2015 The authors sought to determine the reliability and validity of psychometric properties of the Greek Patient-Generated Subjective Global Assessment (PG-SGA) in cancer patients attending a palliative care unit. The scale was translated into Greek. The study took place in an outpatient palliative care unit and 238 cancer patients completed the nutrition ...
Tsilika, E. +7 more
openaire +3 more sources
Patient-Generated Subjective Global Assessment (PG-SGA) predicts length of hospital stay in lung adenocarcinoma patients - CORRIGENDUM. [PDF]
Br J Nutr, 2022 Lang J +7 more
europepmc +2 more sources