Tag: AI
MultiOmic Health announces discovery of novel endotypes and biomarkers for diabetic...
MultiOmic Health has recently announced the identification of novel patient endotypes and the development of proprietary biomarkers for stratifying diabetic kidney disease (DKD) patients....
VASBI ‘AI in research’ presentation raises concerns over accuracy, post-deployment monitoring,...
At the latest Vascular Access Society of Britain and Ireland (VASBI) annual scientific meeting (26–27 September, Cardiff, UK), Nicholas Inston (University Hospitals Birmingham, Birmingham,...
VASBI 2024 showcases “a real sense of community”
https://www.youtube.com/watch?v=hYM1C4NnKD8
At the recent Vascular Access Society of Britain and Ireland (VASBI) annual scientific meeting (26–27 September, Cardiff, UK), presentations on vascular access, the use...
Renal Interventions’ top 10 stories of November 2023
November was a month of demands for more vascular access (VA) training, novel technologies, and regulations, with Terry Litchfield highlighting the importance of compliance...
AI could help predict complications in dialysis treatments, according to new...
A new study abstract from the University of Louisville, led by Adam E Gaweda (University of Louisville Health Sciences Center, Louisville, USA), was presented...
Study shows Klinrisk model able to predict of chronic kidney disease...
A new validation study regarding the Klinrisk model—a machine-learning tool developed to predict the risk of chronic kidney disease (CKD) progression—has been conducted by...
ChatGPT underperforms on clinical kidney disease questions
Research published in Kidney International Reports has found that the ChatGPT artificial intelligence (AI) language model (OpenAI) fails to consistently provide accurate answers to...
AI technologies demonstrate predictive capabilities in hospitalised kidney patients
Artificial intelligence (AI) technologies offer clinicians a variety of opportunities for taking earlier action on kidney problems. Several technologies allowing the prediction of renal...
Machine learning fails to outperform traditional models in predicting long-term allograft...
A study presented at this year’s American Transplant Congress (ATC; 4–8 June, Boston, USA) found that machine learning (ML) technologies did not outperform traditional...
Darlington-based NHS trust dramatically reduces acute kidney injury risk with help...
Acute kidney injury (AKI) risks have been significantly reduced by healthcare professionals at County Durham and Darlington NHS Foundation Trust in the UK with...
Fistula ligation “should become a routine part of post-transplant care”
At this year’s Vascular Access for Hemodialysis Symposium (9–11 June, Charleston, USA), Alexander Toledo (University of North Carolina, Chapel Hill, USA) asserted the advantages...
AI-enabled surgical robot shows promise in automating renal access for kidney...
A research team led by Kazumi Taguchi, Shuzo Hamamoto and Takahiro Yasui (Nagoya City University , Nagoya, Japan) recently undertook a clinical trial to...
Canadian government invests CA$2 million into AI-based organ donation research
In recognition of the fact that “too many” people in Canada are on organ waitlists, with Canada also lagging behind other high-performing countries in...
Ascend Clinical chooses “category leaders” to advance renal care with AI
Ascend Clinical claims to have become the first customer to leverage an artificial intelligence (AI) solution with deep learning models—provided by SambaNova Systems and...
Cibiltech begins enrolment for clinical trial monitoring kidney transplant patients using...
Cibiltech has announced that the first patient has been enrolled in the CIBIL (Clinical impact of the iBox as an early intervention tool) study,...