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Article • Targeted Real-time Early Warning System for hospitals

Early detection of sepsis with the help of AI

Sepsis, a life-threatening, systemic, toxic bodily reaction to infection, is often difficult to detect in its early stages. Its symptoms, including fever, shortness of breath, rapid heart rate, and confusion, are associated with many medical conditions of hospitalized patients. But if not treated rapidly, a patient may die. The Targeted Real-time Early Warning System (TREWS) for sepsis detection…

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Article • At-home diagnostics

Making remote patient monitoring simple

Increasing accessibility of remote and home monitoring for patients with pulmonary diseases can help improve treatment and rehabilitation adherence, and support health systems and hospitals in tackling waiting lists. The various advantages of remote monitoring systems will be highlighted in a Medica session focusing on “Preventing chronic diseases with diagnostics and analytics”.

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Sponsored • A tool to empower healthcare organizations

Eliminating silos and improving patient outcomes

Clinician and nurse burnout is a frequently discussed topic in the healthcare community in the wake of the Covid-19 pandemic. According to an analysis of the NHS published earlier this year, more than 400 workers in England have left the NHS to restore work-life balance within this past year. Burnout and cases of post-traumatic stress disorder after working through the Covid-19 pandemic are major…

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Article • Diagnostic assistant systems

AI in endoscopy: helper, trainer – influencer?

Artificial intelligence (AI) is increasing its foothold in endoscopy. Although the algorithms often detect pathologies faster than humans, their use also generates new problems. PD Dr Alexander Hann from the University Hospital Würzburg points out that the use of AI helpers can affect not only the reporting of findings – but also the person making the findings.

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Article • Possibilities and risks

AI in cardiology: so much is feasible – but is everything useful?

It might sound like science fiction but it is reality in cardiology: with the help of artificial intelligence (AI) physicians can recognize from a patient’s headshot whether the person is suffering from coronary artery disease and is therefore at risk of myocardial infarction. But is that knowledge really useful? Professor Dr David Duncker calls for a differentiated and careful assessment of…

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