The Deep View: AI for Good: Using AI to predict outcomes after brain injury

Posted on June 19, 2025 by michelleclarke2015
AI for Good: Using AI to predict outcomes after brain injury
Source: Midjourney v7
When someone arrives at the hospital with a severe brain injury, doctors face an impossible calculation. Will this patient recover? How aggressively should they intervene? Families want answers that medicine often can’t provide.
AI is increasingly being used to fill this gap, but much of it has been developed haphazardly. A new review of 39 AI models trained on data from over 592,000 brain injury patients reveals both the promise and the problem: while these tools could revolutionize care, most still aren’t ready for real clinical use.
Here’s what researchers found: The models focus on key indicators like age, Glasgow Coma Scale scores and brain bleeding patterns. But quality varies wildly. Many lack proper validation or transparency about how they work. Researchers are now using frameworks like APPRAISE AI to systematically evaluate and improve these tools before they reach patients.
Why this matters: Brain injuries are devastating and unpredictable. Families often spend weeks in hospital waiting rooms, desperate for any indication of what comes next. Wrong predictions can lead to premature withdrawal of care or futile aggressive treatment. The stakes couldn’t be higher.
The review shows recent models are getting better, particularly those built on diverse, well-documented datasets. But the real story isn’t just about creating smarter algorithms—it’s about bringing scientific rigor to a field where poorly designed AI could literally mean the difference between life and death.
With proper validation and clinical testing, these tools could help doctors make more informed decisions in those crucial first hours after injury. For families facing the worst moment of their lives, that could mean everything.
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About michelleclarke2015

Life event that changes all: Horse riding accident in Zimbabwe in 1993, a fractured skull et al including bipolar anxiety, chronic fatigue …. co-morbidities (Nietzche 'He who has the reason why can deal with any how' details my health history from 1993 to date). 17th 2017 August operation for breast cancer (no indications just an appointment came from BreastCheck through the Post). Trinity College Dublin Business Economics and Social Studies (but no degree) 1997-2003; UCD 1997/1998 night classes) essays, projects, writings. Trinity Horizon Programme 1997/98 (Centre for Women Studies Trinity College Dublin/St. Patrick's Foundation (Professor McKeon) EU Horizon funded: research study of 15 women (I was one of this group and it became the cornerstone of my journey to now 2017) over 9 mth period diagnosed with depression and their reintegration into society, with special emphasis on work, arts, further education; Notes from time at Trinity Horizon Project 1997/98; Articles written for Irishhealth.com 2003/2004; St Patricks Foundation monthly lecture notes for a specific period in time; Selection of Poetry including poems written by people I know; Quotations 1998-2017; other writings mainly with theme of social justice under the heading Citizen Journalism Ireland. Letters written to friends about life in Zimbabwe; Family history including Michael Comyn KC, my grandfather, my grandmother's family, the O'Donnellan ffrench Blake-Forsters; Moral wrong: An acrimonious divorce but the real injustice was the Catholic Church granting an annulment – you can read it and make your own judgment, I have mine. Topics I have written about include annual Brain Awareness week, Mashonaland Irish Associataion in Zimbabwe, Suicide (a life sentence to those left behind); Nostalgia: Tara Hill, Co. Meath.
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