HĀTO Medical Technologies
Anne Sofie Bøgh Malling has a diverse work experience spanning various roles and organizations. Anne Sofie Bøgh is currently the Head of Research and Development at Hato Medical Technologies since August 2021. Prior to this, they worked as a Postdoc at the University of Copenhagen from August 2019.
From 2016 to 2019, Anne Sofie served as a Ph.d.-student at the University of Southern Denmark. Before that, they worked as a Research Assistant at Odense University Hospital from March 2014 to August 2019.
Anne Sofie also gained teaching experience, having worked as a Teaching Assistant at the University of Copenhagen from November 2013 to January 2014. Anne Sofie Bøgh started their professional journey as a Student Research Assistant at the University of Copenhagen in September 2010 and continued until June 2012. During this time, they also held the role of an Instructor.
Anne Sofie further enhanced their instructional abilities by working as an Instructor (badminton) at SportsCamp Aps from July 2009 to August 2011. Additionally, they held a one-year appointee position in physical education at Københavns åbne Gymnasium from September 2010 to April 2011.
Anne Sofie Bøgh Malling's education history includes a Master of Science (MS) degree in Human physiology from Københavns Universitet, which they obtained from 2010 to 2013. Prior to that, they completed their Bachelor of Science (BS) degree in Sport and Exercise from Københavns Universitet - University of Copenhagen between 2007 and 2010. Additionally, Anne Sofie attended Sønderborg Statsskole from 2003 to 2006, although the degree obtained and field of study pursued during that time are unknown.
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HĀTO Medical Technologies
Imagine a world where 32% of all deaths could be prevented with accurate and timely diagnoses. Unfortunately, misdiagnoses of cardiovascular disease (CD) are all too common in pre-specialist settings. Often, the first test to investigate the heart of a potential CD patient is an electrocardiogram (ECG) performed and analyzed by non-specialists. Butwhat if these healthcare professionals had access to a tool that could make interpreting ECGs easy and accurate? Our survey of health professionals revealed that less than half felt confident interpreting ECGs, 60% found it difficult to diagnose based on ECG recordings and only 2% trusted the suggestions from their current device.HATO utilizes artificial intelligence (AI) to analyze electrocardiogram (ECG) recordings in real-time and provide accurate and timely diagnoses of cardiovascular diseases. Our agnostic software solution utilizes deep learning to quickly identify and understand abnormalities in the heart, and agnostic software provides healthcare professionals with a real-time view of the patient's heart to assist in locating abnormalities and reacting quickly in critical situations. This helps to ensure rapid and accurate decision-making for appropriate patient visitation, triage, and treatment, as well as for healthcare professionals who may not have extensive knowledge in cardiology.