pubs.asahq.org/anesthesiology…

pubs.asahq.org/anesthesiology…

Interested in causal effects for #timevarying treatments?

Advanced Confounding Adjustment (ACA) teaches complex #gmethods and highlights inverse probability weighting & parametric g-formula.

Will we see you at ACA June 3-7, 2024?

Register in-person:
👉causalab.sph.harvard.edu/courses/

Increasing respiratory rate upon transition of mechanically ventilated patients from OR to the ICU often leads to higher intensity of ventilation and is then associated with higher mortality risk - a study from our lab just published in the AJRCCM.
First author Dario von Wedel

Adjustments of Ventilator Parameters during Operating Room–to–ICU Transition and 28-Day Mortality

When adjustments of ventilator settings lead to increased ventilation intensity, they might precipitate higher 28-day mortality
Maximilian Schaefer

🔗 bit.ly/3P59DN9

In this descriptive analysis of patients with chronic inflammatory skin diseases starting systemic immunomodulatory treatment in the US, less than 60% received the recommended pretreatment testing. ja.ma/4bhQlxG

In this study of abstracts, addition of author affiliations was significantly associated with acceptance rates by a commonly used large language model, with higher tiers of institutions being associated with higher acceptance rates. ja.ma/3TZ0s47

Thanks to Denys Shay from Harvard T.H. Chan School of Public Health for coming in to talk to us about the use of #ChatGPT in medical education and research!

Does #chatgpt increase #affiliationbias ?

In a new letter in @JAMA, co-authored by CAUSALab's Denys Shay, researchers examine how #LearnedLanguageModels may impact the peer review process.

jamanetwork.com/journals/jama/…

In this study of abstracts, addition of affiliations was significantly associated with acceptance rates by a commonly used large language model, with higher tiers of institutions being associated with higher acceptance rates.

ja.ma/48wzR2z

Could ChatGPT-4 pass an anaesthesiology board examination? New follow-up assessment of a comprehensive set of board examination practice questions by Shay et al #AI #anaesthesia #chatgpt

bjanaesthesia.org/article/S0007-…

Is ChatGPTs assessment influenced by author affiliation when reviewing scientific content? An investigation from our lab now published in JAMA JAMA BIDMC Anesthesia, Critical Care and Pain Medicine
Harvard Medical School Affiliation Bias in Peer Review of Abstracts by a Large Language Model jamanetwork.com/journals/jama/…

Check out our new study showcasing #GPT4 's performance on #anesthesiology board questions.

Published in British Journal of Anaesthesia and led by CAUSALab's Denys Shay and Andrew Beam.

Click on the link below to learn more:
bjanaesthesia.org/article/S0007-…

#ArtificialIntelligence #ChatGPT

Excited to share our latest study, now published in the British Journal of Anaesthesia, showcasing #GPT4 's performance on #anesthesiology board exam questions.

sciencedirect.com/science/articl…

Ever wondered how forensics on shows like CSI or Law & Order estimate a person's age?🕵️
In this study, we propose a new method for forensic age assessment based on measurements📏 of third molar (a.k.a. wisdom teeth) eruption.🦷

mdpi.com/2079-7737/12/1…

Time to rethink how we treat intraoperative hypotension?
BIDMC Anesthesia, Critical Care and Pain Medicine Harvard Medical School
Intraoperative use of phenylephrine versus ephedrine and postoperative delirium: A multicenter retrospective cohort study pubs.asahq.org/anesthesiology…

CAUSALab is looking forward to an exciting year ahead!

We kicked off the year with a team social enjoying some food, drinks & karaoke.

We've got a busy year ahead & we can't wait to share #research our team has been working on. Stay tuned for CAUSALab news and events!

And just like that the 2023 CAUSALab courses come to an end. What an incredible two weeks it has been!

Pictured below are some of our amazing participants, instructors, and fellows of TTE and CICI who made this week memorable. We appreciate all of you 👏

Had a great time serving as a Teaching Fellow for the ACA course.

Big thanks to the instructors Barbra Dickerman , Joy Shi, and Miguel Hernán , my co-fellows Sophia Rein , Naiyu Chen , and Sanjana Bhaskar , as well as to all participants for this insightful week!