TRIPOD+AI: tinyurl.com/2dsb9e75
EQUATOR Network: tinyurl.com/5dw4rcy5
Google scholar: tinyurl.com/ysv3zwek
EQUATOR Network (https://www.equator-network.org)
#Transparency is one of the six core principles underpinning the WHO guidance on #ethics and #governance of #ArtificialIntelligence for health
--> who.int/publications...
Important to adhere to the TRIPOD+AI reporting standards🙏
--> bmj.com/content/385/...
#trustworthyAI
--> www.nature.com/articles/s41...
#HealthTech #ClinicalAI #MachineLearning #MedAI #AIinMedicine #TransparentAI #HealthInnovation #GenAI
--> www.nature.com/articles/s41...
#HealthTech #ClinicalAI #MachineLearning #MedAI #AIinMedicine #TransparentAI #HealthInnovation #GenAI
#Transparency is one of the six core principles underpinning the WHO guidance on #ethics and #governance of #ArtificialIntelligence for health
--> who.int/publications...
Important to adhere to the TRIPOD+AI reporting standards🙏
--> bmj.com/content/385/...
#trustworthyAI
#Transparency is one of the six core principles underpinning the WHO guidance on #ethics and #governance of #ArtificialIntelligence for health
--> who.int/publications...
Important to adhere to the TRIPOD+AI reporting standards🙏
--> bmj.com/content/385/...
#trustworthyAI
--> tinyurl.com/2h2mcy5h
#machinelearning #prediction #statssky #MLsky #methodsmatter
--> tinyurl.com/2h2mcy5h
#machinelearning #prediction #statssky #MLsky #methodsmatter
Public Webinar 🗓️ Tuesday 14 October THIS EVENING 6-7pm
Register here www.eventbrite.com/e/health-tes...
This evening, we are presenting the findings of our evaluations of supermarket self tests, summarising our BMJ papers
Public Webinar 🗓️ Tuesday 14 October THIS EVENING 6-7pm
Register here www.eventbrite.com/e/health-tes...
This evening, we are presenting the findings of our evaluations of supermarket self tests, summarising our BMJ papers
"The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models"
- intended for a broad audience (anyone doing or using prediction model research)
imperial-ac-uk.zoom.us/webinar/regi...
"The Importance of Sample Size for the Development and Evaluation of Clinical Prediction Models"
- intended for a broad audience (anyone doing or using prediction model research)
imperial-ac-uk.zoom.us/webinar/regi...
--> www.nature.com/articles/s41...
#machinelearning #MLsky #statssky #digitalhealth #transparency
--> www.nature.com/articles/s41...
#machinelearning #MLsky #statssky #digitalhealth #transparency
INSPECT-SR: A tool for assessing trustworthiness of randomised controlled trials.
INSPECT-SR: A tool for assessing trustworthiness of randomised controlled trials.
Cancer Research UK Clinical Trials Unit, University of Birmingham
Closes 22 September
edzz.fa.em3.oraclecloud.com/hcmUI/Candid...
Cancer Research UK Clinical Trials Unit, University of Birmingham
Closes 22 September
edzz.fa.em3.oraclecloud.com/hcmUI/Candid...
ja.ma/4fzMVZS
ja.ma/4fzMVZS
--> bmjmedicine.bmj.com/content/4/1/...
The explanation & elaboration paper
--> www.bmj.com/content/390/...
#genAI #chatbots #healthadvice #reporting
--> bmjmedicine.bmj.com/content/4/1/...
The explanation & elaboration paper
--> www.bmj.com/content/390/...
#genAI #chatbots #healthadvice #reporting
“Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide”
led by Pedro Lopez-Ayala & Tobias Zimmermann with & myself
www.bmj.com/content/390/...
“Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide”
led by Pedro Lopez-Ayala & Tobias Zimmermann with & myself
www.bmj.com/content/390/...
These studies highlight issues over accuracy and suitability for public use, they say
www.bmj.com/content/390/...
www.bmj.com/content/390/...
These studies highlight issues over accuracy and suitability for public use, they say
www.bmj.com/content/390/...
www.bmj.com/content/390/...
tldr: no.
Includes a cheeky simulation study to demonstrate the point.
open.substack.com/pub/tpmorris...
tldr: no.
Includes a cheeky simulation study to demonstrate the point.
open.substack.com/pub/tpmorris...
It discusses the potential limitations of assuming a linear relationship between independent and dependent variables
www.bmj.com/content/390/...
It discusses the potential limitations of assuming a linear relationship between independent and dependent variables
www.bmj.com/content/390/...
--> www.bmj.com/content/390/...
#methodologymatters #StatsSky #EpiSky
--> www.bmj.com/content/390/...
#methodologymatters #StatsSky #EpiSky
“A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes"
- published in Diagnostic & Prognostic Research
- implemented in pmstabilityss
1/n
“A decomposition of Fisher’s information to inform sample size for developing or updating fair and precise clinical prediction models for individual risk—part 1: binary outcomes"
- published in Diagnostic & Prognostic Research
- implemented in pmstabilityss
1/n
www.jclinepi.com/article/S089...
Peer review reports [...] were short (median 276 words), superficial, and rarely constructive
#metascience #peerreview #RCTs
www.jclinepi.com/article/S089...
Peer review reports [...] were short (median 276 words), superficial, and rarely constructive
#metascience #peerreview #RCTs
-> arxiv.org/abs/2506.17035
We identified 62 fairness metrics (and growing) - unsurprisingly it's all a bit of a mess...with most metrics not fit for purpose
#predictiveAI #fairness #machinelearning #StatsSky #MLSky
"Critical Appraisal of Fairness Metrics in Clinical Predictive AI"
- Important, rapidly growing area
- But confusion exists
- 62 fairness metrics identified so far
- Better standards & metrics needed for healthcare
arxiv.org/abs/2506.17035
"Critical Appraisal of Fairness Metrics in Clinical Predictive AI"
- Important, rapidly growing area
- But confusion exists
- 62 fairness metrics identified so far
- Better standards & metrics needed for healthcare
arxiv.org/abs/2506.17035
-> arxiv.org/abs/2506.17035
We identified 62 fairness metrics (and growing) - unsurprisingly it's all a bit of a mess...with most metrics not fit for purpose
#predictiveAI #fairness #machinelearning #StatsSky #MLSky
-> arxiv.org/abs/2506.17035
We identified 62 fairness metrics (and growing) - unsurprisingly it's all a bit of a mess...with most metrics not fit for purpose
#predictiveAI #fairness #machinelearning #StatsSky #MLSky