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Interview prep

One thing I've learned from recent interview prep is that it is really important to link your response back to a patient's experience and care and how it affects them. Fred Lee reminds us that healthcare isn't just about outcomes - it's about ensuring patients feel respected, heard and care for. Patients may forget what you say, but they will always remember how you made them feel.

https://www.youtube.com/watch?v=tylvc9dY400

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Euthanasia and Assisted Dying

What is Euthanasia?

It basically means to end a patient's life who is suffering due to a painful or incurable disease.

There are several different categories within this and in order to understand the debate around it it is important to know each meaning.

Active Euthanasia- when someone intervenes and deliberately ends someone's life (it has been planned)

Passive Euthanasia- death is caused as a result of upholding the essentials needed to survive eg. not feeding food to a patient in a comma.

Voluntary Euthanasia- the patient requests to die


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Hey guys, apologies for not being active in a while, I was away on Gold DofE and had a lot of other things going at school!

We have finished our series on AI in Medicine, but today I would like to focus on assisted dying and Euthanasia as there has been a lot of news recently on this.

I hope you guys will enjoy it and pelase feel free to share your views and knowledge on this too!

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AI in Diagnostics

Hey guys, welcome back to the series of 'AI in Medicine'. Today we will be discovering how AI can transform diagnosis in medicine.

AI can read X-Rays, MRI, CT-Scans and blood tests faster and sometimes more accurately than humans and contribute to early detection of diseases like cancer, diabetes and Alzheimer's before symptoms even show up!


AI is particuarly good for handling large datasets, providing physicians with a wealth of insights for informed desicion making, which is particularly important when attempting to diagonse patients correctly.


AI in Early Detection of diseases:

  • A clinical trial has recently been carried out on AI in diabetes diagnosis, where ECG (electrocardiogram which is used to identify irregular heartbeats and rhythms) is used to diagnose diabetes type 2, as earlier as 10 years before any visible symptoms! If more information and data like age, gender BMI is given to the algorithm, accuracy increases.

  • AI can…


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