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Long-term adherence to glaucoma medication is widely… #Ophthalmology #Ophthotwitter #BJO
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Long-term adherence to glaucoma medication is widely… #Ophthalmology #Ophthotwitter #BJO
It shows how considering animal affective states can enhance the quality and utility of data collected in wildlife research.
🔗 buff.ly/MrBnYEx
It shows how considering animal affective states can enhance the quality and utility of data collected in wildlife research.
🔗 buff.ly/MrBnYEx
Our AI model, trained on adult biopsies, generalises to paediatric #CoeliacDisease diagnosis across centres and scanner platforms
www.thelancet.com/journals/ecl...
#MedSky
Our AI model, trained on adult biopsies, generalises to paediatric #CoeliacDisease diagnosis across centres and scanner platforms
www.thelancet.com/journals/ecl...
#MedSky
📄 doi.org/10.1186/s415...
#ClinicalPredictionModels #Generalisability #Transportability #DataShift #CausalInference
📄 doi.org/10.1186/s415...
#ClinicalPredictionModels #Generalisability #Transportability #DataShift #CausalInference
This new tool can be used to assess and monitor the quality of EDI implementation
This new tool can be used to assess and monitor the quality of EDI implementation
Openness should broaden the conversation, not narrow it.
www.tandfonline.com/doi/full/10....
Openness should broaden the conversation, not narrow it.
www.tandfonline.com/doi/full/10....
https://arxiv.org/abs/2604.05478
https://arxiv.org/abs/2604.05478
https://arxiv.org/abs/2604.05478
https://arxiv.org/abs/2604.05478
A heart risk calculator built in New Zealand badly misjudged danger for 46,558 people in China, mostly because of how it scored age.
🔗 doi.org/10.1136/bmj-2026-100535
#Health #Diabetes #Cardiology #Science 🧪
A heart risk calculator built in New Zealand badly misjudged danger for 46,558 people in China, mostly because of how it scored age.
🔗 doi.org/10.1136/bmj-2026-100535
#Health #Diabetes #Cardiology #Science 🧪
This is why LLMs can't be trusted, there's no proof of generalisability and they're basically black boxes
This is why LLMs can't be trusted, there's no proof of generalisability and they're basically black boxes
In response to: The CICM second part viva reliability coefficient: Which index, for which decision, against which benchmark?
The conversation continues!
www.sciencedirect.com/science/arti...
In response to: The CICM second part viva reliability coefficient: Which index, for which decision, against which benchmark?
The conversation continues!
www.sciencedirect.com/science/arti...
For example, if the sample was only students or mainly WEIRD participants state that clearly. Don’t overstate generalisability of findings and hide the truth in limitations.
For example, if the sample was only students or mainly WEIRD participants state that clearly. Don’t overstate generalisability of findings and hide the truth in limitations.
This could range from: "Outcomes are still better"
To: "We've lost the trust of entire communities"
This could range from: "Outcomes are still better"
To: "We've lost the trust of entire communities"
Generalisability is IMPROVED & signal gained rather than lost when we assess our constructs across ages, handedness, genders, backgrounds, etc
So great that people are doing this kind of research!
Generalisability is IMPROVED & signal gained rather than lost when we assess our constructs across ages, handedness, genders, backgrounds, etc
So great that people are doing this kind of research!