Disclosure of interest: NO Poster Session I - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P308 - ESOC25-442 CLINICIAN PERSPECTIVES ON MACHINE LEARNING TOOLS FOR OUTCOME PREDICTION AND DECISION-MAKING IN INTRACEREBRAL HAEMORRHAGE Alexandra Hurden 1 , Menglu Ouyang, Leibo Liu 1,2 , Xiaoying Chen 1 , Craig Anderson 1 The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia, 2 Centre for Big Data Research in Health, Faculty of Medicine, University of New South Wales, Sydney, Australia Background and Aims: Machine learning (ML) tools hold promise in outcome prediction and assisting clinicians decision making for patients with acute intracerebral haemorrhage (ICH)
MTHFR mutations affect the bodys ability to properly methylate, which can lead to elevated homocysteine levels and impact health
A parastomal hernia is a type of incisional hernia that occurs when abdominal contents, like the intestine, push through the muscle opening created for the stoma.1 It is one of the most frequent long-term complications of stoma surgery, affecting up to 50% of patients, often within the first few years.3 While not always dangerous, a stoma hernia can cause discomfort, interfere with the fit of your ostomy appliance, and impact your quality of life
Symptoms of Adrenal Fatigue will become drastically exaggerated during an adrenal crash
