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Article of the Week

Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis

Lal, Amos MBBS; Li, Guangxi MD; Cubro, Edin MSc, MBA; Chalmers, Sarah MD; Li, Heyi MD; Herasevich, Vitaly MD, PhD, FCCM; Dong, Yue MD; Pickering

< 1 minute read

AIMed Paediatrics – Day 2 Takeaways

The COVID-19 pandemic is running its apocalyptic course around the world. One thing is certain in the midst of total uncertainty and utter chaos: SARS-CoV-2 is a very daunting enemy and we remain totally subjugated by these viral overlords. It is easy, therefore, for we humans to lose patience and b

2 minute read

AIMed Paediatrics – Day 1 Takeaways

The COVID-19 pandemic is running its apocalyptic course around the world. One thing is certain in the midst of total uncertainty and utter chaos: SARS-CoV-2 is a very daunting enemy and we remain totally subjugated by these viral overlords. It is easy, therefore, for we humans to lose patience and b

3 minute read

AIMed Radiology November 2020: key takeaways

The COVID-19 pandemic is running its apocalyptic course around the world. One thing is certain in the midst of total uncertainty and utter chaos: SARS-CoV-2 is a very daunting enemy and we remain totally subjugated by these viral overlords. It is easy, therefore, for we humans to lose patience and b

2 minute read

AIMed Cardiology: Journal Club

A review of the top 3 AI in cardiology papers of the past year.

 

1. Zimmerman A et al. Usefulness of Machine Learning in COVID-19 for the Detection and Prognosis of Cardiovascular  Complications.Review in Cardiovascular Medicine 2020.

2 minute read

AIMed Cardiology November 2020: Key takeaways

1. Artificial intelligence in cardiology is more than using deep learning for cardiovascular imaging interpretation and can be extended into wearable technology (edge AI), administrative tasks (robotic process automation), and decision making (recurrent neural network for time series data).

2. In

2 minute read
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