Armaan Malhotra
@armaan-km.bsky.social
Neurosurgery Resident | Clinical Epidemiology | Neurotrauma | AI in Medicine | IHPME | University of Toronto
Thank you @ai.nejm.org for sharing our perspective!
Perspective by A.K. Malhotra et al.: Energy Considerations for Scaling Artificial Intelligence Adoption in Medicine: First Do No Harm nejm.ai/3Je3myN
@armaan-km.bsky.social #AI #MedSky #MLSky
@armaan-km.bsky.social #AI #MedSky #MLSky
September 7, 2025 at 12:09 PM
Thank you @ai.nejm.org for sharing our perspective!
AI methods may improve traumatic brain injury outcome prediction. In this study, we identified several domains that represent key focus areas to enhance robustness and clinical translation. Thanks to coauthors!
@uoftmedicine.bsky.social @natureportfolio.nature.com
www.nature.com/articles/s41...
@uoftmedicine.bsky.social @natureportfolio.nature.com
www.nature.com/articles/s41...
Predicting outcomes after moderate and severe traumatic brain injury using artificial intelligence: a systematic review - npj Digital Medicine
npj Digital Medicine - Predicting outcomes after moderate and severe traumatic brain injury using artificial intelligence: a systematic review
www.nature.com
June 19, 2025 at 1:10 PM
AI methods may improve traumatic brain injury outcome prediction. In this study, we identified several domains that represent key focus areas to enhance robustness and clinical translation. Thanks to coauthors!
@uoftmedicine.bsky.social @natureportfolio.nature.com
www.nature.com/articles/s41...
@uoftmedicine.bsky.social @natureportfolio.nature.com
www.nature.com/articles/s41...
Machine learning approaches were not superior to the original logistic regression-based endoscopic third ventriculostomy success score.
Comparing to existing benchmarks is a major priority as we translate ML models into medicine.
@sickkidsvs.bsky.social @uoft.bsky.social
doi.org/10.1007/s003...
Comparing to existing benchmarks is a major priority as we translate ML models into medicine.
@sickkidsvs.bsky.social @uoft.bsky.social
doi.org/10.1007/s003...
Does machine learning improve prediction accuracy of the Endoscopic Third Ventriculostomy Success Score? A contemporary Hydrocephalus Clinical Research Network cohort study - Child's Nervous System
Purpose This Hydrocephalus Clinical Research Network (HCRN) study had two aims: (1) to compare the predictive performance of the original ETV Success Score (ETVSS) using logistic regression modeling w...
doi.org
December 11, 2024 at 6:51 PM
Machine learning approaches were not superior to the original logistic regression-based endoscopic third ventriculostomy success score.
Comparing to existing benchmarks is a major priority as we translate ML models into medicine.
@sickkidsvs.bsky.social @uoft.bsky.social
doi.org/10.1007/s003...
Comparing to existing benchmarks is a major priority as we translate ML models into medicine.
@sickkidsvs.bsky.social @uoft.bsky.social
doi.org/10.1007/s003...
Pediatric spinal cord injury is (thankfully) rare but also understudied. We evaluated a 24-hour surgical intervention threshold for complete SCI patients in a North American cohort. Fewer complications with early surgery.
#pediatric #surgery #neurotrauma
@uoft.bsky.social
shorturl.at/bijI1
#pediatric #surgery #neurotrauma
@uoft.bsky.social
shorturl.at/bijI1
Timing of surgery for children and adolescents sustaining complete traumatic spinal cord injury
OBJECTIVE Spinal cord injury (SCI) trials have historically underrepresented pediatric patients. There are limited pediatric data examining the influence of surgical timing on complications and mortal...
shorturl.at
December 5, 2024 at 1:57 PM
Pediatric spinal cord injury is (thankfully) rare but also understudied. We evaluated a 24-hour surgical intervention threshold for complete SCI patients in a North American cohort. Fewer complications with early surgery.
#pediatric #surgery #neurotrauma
@uoft.bsky.social
shorturl.at/bijI1
#pediatric #surgery #neurotrauma
@uoft.bsky.social
shorturl.at/bijI1