Ravi B. Parikh

Oncologist @EmoryUniversity @WinshipatEmory; Director @HACLab_; Consultant Editor @JCO_ASCO; Columnist @Medscape; Board @CTACorg

[Ravi B. Parikh @ravi_b_parikh]

New @NatRevClinOncol led by @AshleyEadie @PrelajArsela Andrea Villa: the biggest near-term value of AI in #oncology trials is getting more patients onto the RIGHT trials faster. We summarize the state of the science. #AI #Oncology

[NatureRevClinOncol @NatRevClinOncol]

New online! AI-based augmentation of oncology clinical trials https://t.co/7hJ1QtH8GK

[Winship Cancer Institute of Emory University @WinshipAtEmory]

How can AI help accelerate clinical trial enrollment? @ravi_b_parikh explores where AI is making an impact, and where it’s headed. #DDHO26

[Jordan Ciuro, MD @jordanciuro]

Wrapping up an incredible #DDHO26 Conference at Sea Island! So thankful for the opportunity to speak and to learn about the exciting advances happening in cancer care. @SagarLonialMD @RamalingamMD

Most of all, I’m grateful to work alongside such an amazing group of colleagues…I couldn’t ask for a better GU team.

➡️If you missed DDHO this year, we hope to see you next July 2027!

#DDHO #SeaIsland #GUCancers #Oncology @WinshipAtEmory @ravi_b_parikh @jberchuck @bilenma @jackiebrown_MD Brad Carthon & Shahid Ahmed

[Petrie-Flom Center @PetrieFlom]

New article in @JAMA_current by @iajunwa, @ravi_b_parikh, & @CohenProf, “When Patients Share Everything With an AI Chatbot: Risks and Opportunities of Large Language Models." https://t.co/HfbPAbrUYd

@EmoryLaw @WinshipAtEmory @Harvard_Law @JAMANetwork

[Ravi B. Parikh @ravi_b_parikh]

New #LLM tools allow patients to sync entire #EHRs, but lack HIPAA-level protections and may embed biases from clinical notes into medical advice. Critical call for regulatory oversight. Read our new @JAMA_current Viewpoint @CohenProf @iajunwa: https://t.co/eIlEYli3zA

[Ravi B. Parikh @ravi_b_parikh]

I just went 82-0, think you can go 82-0? https://t.co/tvta5xtJsa #NBA #82and0

[Arturo LoAIza-Bonilla, MD MSEd @DrArturoAI]

🧠 The AI in Oncology meeting of the minds.

Honored to chair the @ASCO AI Community of Practice gathering at #ASCO26 with @jsoriamd & @ca_chung

🎤 Keynote: @Ravi_B_Parikh (EIC, ASCO AI)
⚡ 6–8 lightning talks from the sharpest AI investigators at the meeting
📅 Sun May 31 | 4:30 PM | Room S103

AI trial matching validated against experts. Computational histology biomarkers in Phase III RCTs. LLMs for serious illness conversations. Digital PROs showing OS benefit. Synthetic controls. Patient AI equity. Fellowship AI training. Global trial access.

One room. One hour. The leading edge.

Thank you to ASCO leadership for the trust. Agenda below 👇

#ASCOAICoP #ASCO26 @DrArturoAI

[NEJM @NEJM]

Perspective by Sara Gerke, Dipl-Jur Univ (@gerke_sara), @ravi_b_parikh, MD, MPP, and I. Glenn Cohen, JD (@CohenProf): Utah’s Prescription-Renewal Pilot Program — Autonomous AI Managing Patient Care https://t.co/wNprS5MErM

#ArtificialIntelligence #MedicalEthics

[Ravi B. Parikh @ravi_b_parikh]

Check out our new @NEJM perspective + press release on the Utah regulatory sandbox using @doctronic #AI to renew prescriptions. Precedent-setting population-wide deployment of an autonomous AI. @gerke_sara @CohenProf

https://t.co/GeoTEKGY6r

https://t.co/KY3F15Nzc3

[Petrie-Flom Center @PetrieFlom]

New in @NEJM: @CohenProf @gerke_sara & @ravi_b_parikh co-author an article on a first-in-the-nation pilot AI prescription program in Utah: https://t.co/1ha2G0AlNR

[Ravi B. Parikh @ravi_b_parikh]

New @npjDigitalMed w/ Ashley Eadie, Naomi Scheinerman, @HollyLynchez on potential @US_FDA priorities in the transition to #NAMs, #DigitalTwins, and In-Silico Trials for regulatory submission. Take a look if you're interested in New Approach Methodologies!
https://t.co/kSLOWRKOAu

[Petrie-Flom Center @PetrieFlom]

New in @NEJM: @CohenProf @gerke_sara & @ravi_b_parikh co-author an article on a first-in-the-nation pilot AI prescription program in Utah: https://t.co/1ha2G0AlNR

[NEJM @NEJM]

Utah recently rolled out a pilot program involving an AI system that autonomously renews certain prescriptions for people with chronic conditions. The authors of a new Perspective argue that this program raises important clinical and legal issues. Read the Perspective by Sara Gerke, Dipl-Jur Univ (@gerke_sara), @ravi_b_parikh, MD, MPP, and I. Glenn Cohen, JD (@CohenProf): https://t.co/oiFafs0PXZ

[Ravi B. Parikh @ravi_b_parikh]

Follows on some of our previous musings on the OCM. links below!

https://t.co/gPPaqVDj9M
https://t.co/1fHrK6wzC5
https://t.co/zXSjQSjRt4
https://t.co/yzlwu0uhk3

[Ravi B. Parikh @ravi_b_parikh]

Check out latest retrospective on the @CMSinnovates @CMSGov #Oncology Care Model from @SamyuktaMD Stephen Schleicher @TNOncology and I in @JAMA_current. Editorial on final OCM evaluation, culminating years of evaluations by Nancy Keating & @gabe_a_brooks https://t.co/Sj6sYpPEyz

[JAMA @JAMA_current]

💬 Editorial: The #Oncology Care Model achieved episode savings largely through supportive care medication changes, but net losses and limited impact on hospital use shaped the successor model.

https://t.co/GsGI9KPYZB

[Ravi B. Parikh @ravi_b_parikh]

Should we give #immunotherapy earlier in the day? Check out my newest @Medscape @MedscapeOnc Op-Ed on the challenges of managing patient expectations when evidence is unclear.

https://t.co/nD39sm1dBK

[Ravi B. Parikh @ravi_b_parikh]

The health sector continues to lag in building the robust digital infrastructure needed to fully realize innovation. Our new @theNAMedicine discussion paper explores the path toward a health care digital and data architecture. Read now: https://t.co/PPwVAHXCic #NAMPerspectives

[The ASCO Post @ASCOPost]

🌟Introducing the advisory board for ASCO AI in Oncology:
🔹Editor-in-Chief Ravi B. Parikh, MD, MPP, FACP @ravi_b_parikh
🔹Kenneth L. Kehl, MD, MPH
🔹Danielle S. Bitterman, MD @dbittermanmd
🔹Travis Zack, MD, PhD
🔹Jame Abraham, MD, FACP @jamecancerdoc

https://t.co/FURMPvzHFW

[The ASCO Post @ASCOPost]

💻 #ASCOAI: Can #AI improve clinical trial prescreening?
In a study, research staff using a natural lanuage processing model achieved higher chart-level accuracy than human review alone (76.1% vs 71.5%).
🩺 @ravi_b_parikh | @NatureComms
🔗 https://t.co/G8nSARxB9b

[Ravi B. Parikh @ravi_b_parikh]

@pranavrajpurkar @anantm @judywawira Huge thanks to co-first author @LikhithaKolla and the incredible teams @PennMedicine, @EmoryWinship, and @Mendel_ai for their support. Read more here 👇
https://t.co/rdlZqde5CO

[Ravi B. Parikh @ravi_b_parikh]

Latest fm @HAClab_ in @NatureComms: Can AI help clinical research staff better identify #patients for clinical trials? YES, but with caveats. First randomized trial to test accuracy AND time savings for a human-AI collaboration. https://t.co/9c5c0V53jX

[Ravi B. Parikh @ravi_b_parikh]

@pranavrajpurkar Bottom line: AI doesn't replace research staff — it makes them better. But this needs to be tested, not assumed. As we deploy AI across healthcare, we need rigorous randomized evidence of what works, where it helps, and where it can quietly make things worse. @anantm @judywawira