White papers

Dive into the world of healthcare innovation with our exclusive white papers. Explore the latest developments and trends shaping the healthcare industry, all in one place.

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Optimizing patient pathways at the preoperative clinic using intelligent digital screening solutions 

Every patient requiring surgery and/or anesthesia undergoes a preoperative assessment before their admission. This assessment is the cornerstone of safe and effective anesthesia care. The exact sequence of preoperative steps for individual patients varies depending on the healthcare provider. 

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A Novel Approach for Personalized Population-based Lung Cancer Screening

Lung cancer, which accounts for 11.6% of all cancer cases worldwide, is the most commonly diagnosed cancer and the leading cause of cancer-related deaths, responsible for 18.4% of such fatalities. It claims the lives of over 1.8 million people annually. 

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How smart is Bingli in comparison with Chat GPT / Glass AI?

The use of generative artificial intelligence (AI) — specifically, large language models (LLMs) — has the potential to transform healthcare. Language modelling has revolutionized natural language processing by enabling computers to understand and generate human-like text.

Release notes version 3.02
Release notes version 3.02
Rollout start: 07/05/2024 We're excited to introduce some notable enhancements and fixes in this latest...
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Bingli as a screening tool for rare diseases: a methodology

More than 7000 rare diseases are currently known to science, affecting approximately 
350 million people worldwide.  Due to their rarity and a lack of knowledge about them, diagnosis of rare diseases is difficult.  

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Bingli Atrial Fibrillation Screening 

Atrial fibrillation (AF) is the most common cardiac arrhythmia, affecting an estimated 1% of the population. Its prevalence increases age dependently, from <0.1% in adults younger than 55 years to 8% in persons aged 80 years or older.  

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Comparative testing

Today, computing is indispensable to most if not all disciplines and fuels their progress. However, there has been little application of computing to the fundamental, rule‐based processes underlying effective practice of medicine, specifically to collecting and interpreting clinical data from patients