AIMC Topic: Recurrence
Clear Filters Showing 51 to 60 of 164 articles
A novel artificial intelligence-assisted "vascular healing" diagnosis for prediction of future clinical relapse in patients with ulcerative colitis: a prospective cohort study (with video).
Gastrointestinal endoscopy
Jan 10, 2024
BACKGROUND AND AIMS: Image-enhanced endoscopy has attracted attention as a method for detecting inflammation and predicting outcomes in patients with ulcerative colitis (UC); however, the procedure requires specialist endoscopists. Artificial intelli...
Predicting recurrent interventions after radiocephalic arteriovenous fistula creation with machine learning and the PREDICT-AVF web app.
The journal of vascular access
Dec 25, 2023
OBJECTIVE: Kidney Disease Outcomes Quality Initiative (KDOQI) guidelines discourage ongoing access salvage attempts after two interventions prior to successful use or more than three interventions per year overall. The goal was to develop a tool for ...
Decision Support Techniques
Prospective Studies
Clinical Decision-Making
Female
Humans
Machine Learning
Middle Aged
Risk Assessment
Renal Dialysis
Time Factors
Risk Factors
Aged
Adult
Male
Arteriovenous Shunt, Surgical
Treatment Outcome
Graft Occlusion, Vascular
Upper Extremity
Mobile Applications
Predictive Value of Tests
Vascular Patency
Veins
Canada
Radial Artery
United States
Recurrence
Prediction of Retear After Arthroscopic Rotator Cuff Repair Based on Intraoperative Arthroscopic Images Using Deep Learning.
The American journal of sports medicine
Aug 11, 2023
BACKGROUND: It is challenging to predict retear after arthroscopic rotator cuff repair (ARCR). The usefulness of arthroscopic intraoperative images as predictors of the ARCR prognosis has not been analyzed.
The impact of diabetes mellitus on pelvic organ prolapse recurrence after robotic sacrocolpopexy.
International urogynecology journal
Feb 13, 2023
INTRODUCTION AND HYPOTHESIS: Data examining the effect of diabetes mellitus (DM) on prolapse recurrence after sacrocolpopexy (SCP) is limited. The primary objective of this study was to determine if DM affects prolapse recurrence after robotic SCP.
Deep learning-based automated quantification of goblet cell mucus using histological images as a predictor of clinical relapse of ulcerative colitis with endoscopic remission.
Journal of gastroenterology
Oct 3, 2022
BACKGROUND: Mucin depletion is one of the histological indicators of clinical relapse among patients with ulcerative colitis (UC). Mucin depletion is evaluated semiquantitatively by pathologists using histological images. Therefore, the interobserver...
Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning.
Nature communications
Sep 26, 2022
Disability progression in multiple sclerosis remains resistant to treatment. The absence of a suitable biomarker to allow for phase 2 clinical trials presents a high barrier for drug development. We propose to enable short proof-of-concept trials by ...
A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.
Computer methods and programs in biomedicine
Sep 20, 2022
BACKGROUND: Depression (Major Depressive Disorder) is one of the most common mental illnesses. According to the World Health Organization, more than 300 million people in the world are affected. A first depressive episode can be solved by a spontaneo...
Comparison of a primary and a recurrent case of full rectal prolapse treated with robotic ventral mesh rectopexy - a video vignette.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Sep 13, 2022
Outcomes of open transverse abdominis release for ventral hernias: a systematic review, meta-analysis and meta-regression of factors affecting them.
Hernia : the journal of hernias and abdominal wall surgery
Aug 3, 2022
OBJECTIVES: The primary objectives were to evaluate Surgical Site Occurrences (SSO) and Surgical Site Occurrences requiring procedural Intervention (SSOPI) after open transversus abdominis release and to study various factors affecting it. Secondary ...
Three-point mesh fixation in robot-assisted transabdominal preperitoneal (R-TAPP) repair of 208 inguinal hernias: preliminary results of a single-center consecutive series.
Langenbeck's archives of surgery
May 18, 2022
PURPOSE: The aim of this study was to assess the efficacy of our mesh fixation technique in robot-assisted transabdominal preperitoneal inguinal hernia repair (R-TAPP). The primary outcome was the recurrence rate. Secondary outcomes were postoperativ...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823