Reinforcement Learning (RL) is emerging as a powerful tool in medicine, helping to optimize clinical decision-making in high-stakes environments like the #ICU, #oncology, and #PersonalizedMedicine. This review is a clinician-focused, practical overview of RL in healthcare.(1/n).

I feel seen!! @ADHDForReal.

And a huge thank you to Dr. @proftatonetti for expertly guiding us through the YIR process and continuously supporting us trainees. It’s been a fantastic learning experience, and we’re ever grateful! 🌟 .Heading to #AMIA2025 Annual Symposium in Atlanta? Let's connect!.

Special shoutout to.@nickreid for your hard work on implementing #automation magic (to score all the screenings and reviews) —without it, we wouldn’t have been able to compile even half the articles! #Trainees #Teamwork #Gratitude.

A huge thank you to all our amazing volunteers and the @AMIAinformatics #Student Working Group @amiastwg who made this YIR possible! 🙌 Your hard work, dedication, and energy brought this project to life - we couldn’t have done it without you! 💪 #Informatics #AI #Research.

RT @asnpublications: AKI is common in SARS-CoV-2 infection and COVID-19, often leading to long-term kidney dysfunction. This study found th….

RT @SinaiBrain: A novel #ArtificialIntelligence -driven (#AI) tool could transform brain pressure monitoring by predicting intracranial hyp….

This review could not have been possible without the immense support of Dr. @ansakhuja and our in-house #Batman, @girish_nadkarni coupled with solid collaboration with @JacobDesman (the rising-star in offline RL implementations @TheAIMSLab_MSSM) and #MetaRL guy, #MoeinSabounchi.

A must-read for anyone interested in bridging AI and clinical practice… and also for those looking for some #.“light-reading” 😁. #ReinforcementLearning #DigitalHealth #AIinMedicine #ClinicalAI.

However, many challenges remain: ensuring models handle noisy, incomplete data, efficient reward formulation, ethical & safety concerns and validating performance across diverse populations. etc. #Operationalization of RL into clinical workflows is still nascent.(4/n).

Applications span personalized medicine (e.g., tailoring drug dosages), critical care (e.g., ventilator weaning strategies), and improving operational efficiency….(3/n).

Key points:. RL models excel at #sequential #decision-making, mimicking clinical workflows to #optimize outcomes such as #treatment timing and #resource_allocation.(2/n).

Not to be missed !!! .Tune in for @AkhilVaidMD’s presentation at @EuroInterventio .#cardiovascular #prediction #PCRLV.

#AI #Prediction #valve #heart.

RT @GradSchoolSinai: Mount Sinai PhD program applications are due this Sunday, December 1 at 11:59pm. Don’t miss your chance to join one of….

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#AMIA2024 closing keynotes in Continental Ballroom 4!.#YearInReview .We’re thrilled to collaborate with Dr. @ciminoj on this massive undertaking.6 months of planning & project management, incredible support from 100+ students, 27 Working Groups, and ~200 papers!.See you there!!

Congratulations to the #Fellows (you can see them in the background with their trophy).

Though we didn’t win, we walked away with our heads held high. We tackled questions we knew and even took a stab at ones we had no clue about. In true #student spirit, we left the game having learned something new!.

Phew! We just wrapped up the #ClinicalDecisionSupport #CDS Students-Vs-Fellows #Jeopardy game #AMIA2024 less than an hour ago! . Students fought hard and came out ‘somewhat’ victorious—we wagered all our net earnings and managed to double it towards the end! #gobigorgohome