Armaan Malhotra's Avatar

Armaan Malhotra

@armaan-km

Neurosurgery Resident | Clinical Epidemiology | Neurotrauma | AI in Medicine | IHPME | University of Toronto

216
Followers
530
Following
5
Posts
29.11.2024
Joined
Posts Following

Latest posts by Armaan Malhotra @armaan-km

Line graphs forecast US road collision injuries from 2025-2035 under AV adoption scenarios (1%, 2.5%, 5%, 10%). Each graph plots injuries (millions) against time for 50% RRR, 80% RRR, and baseline scenarios, showing a slight upward trend overall.

Line graphs forecast US road collision injuries from 2025-2035 under AV adoption scenarios (1%, 2.5%, 5%, 10%). Each graph plots injuries (millions) against time for 50% RRR, 80% RRR, and baseline scenarios, showing a slight upward trend overall.

By 2035, fully autonomous vehicles could reduce US road traffic injuries by up to 3.6% if they reach 10% adoption and achieve 80% lower injury risk vs traditional vehicles.

ja.ma/492bblL

24.12.2025 01:11 πŸ‘ 1 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0

Thank you @ai.nejm.org for sharing our perspective!

07.09.2025 12:09 πŸ‘ 3 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Preview
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

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...

19.06.2025 13:10 πŸ‘ 7 πŸ” 2 πŸ’¬ 1 πŸ“Œ 0

There are physiological correlates to a time-outcome relationship (ischemic time, hypoperfusion injury, relief of mechanical compression, restoration of stability to facilitate mobilization etc). The 24 hour threshold has evolved as a practically feasible threshold for β€œearly” vs β€œlate” surgery

11.12.2024 18:54 πŸ‘ 3 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Preview
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...

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...

11.12.2024 18:51 πŸ‘ 7 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Preview
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...

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

05.12.2024 13:57 πŸ‘ 4 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0