Anthony Gebran

Surgery Resident @UPMC | Research @Harvardmed @TraumaMGH | MD’20 @aub_lebanon | 🇱🇧🇨🇦

[Pitt Surgery @PittSurgery]

What an incredible PittSurgery Research Day! A fabulous day showcasing the breadth and depth of surgical research — from basic science to clinical innovation and education. So proud of our #PittSurgery family! Congratulations to all winners! 🏆 @UPMC_SurgRes

[MIT Jameel Clinic for AI & Health @AIHealthMIT]

1 in 3 adults have varicose veins, putting them at risk of chronic venous insufficiency. A new interpretable AI model focuses risk assessment of endovenous thermal ablation, one of the main treatments for CVI that can cause complications like blood clots: https://t.co/tWuN2vdZf4

[BJS Open @BjsOpen]

Deep learning implementation for extrahepatic bile duct detection during indocyanine green fluorescence-guided laparoscopic cholecystectomy: pilot study
➡️https://t.co/JmNqIJtv2J

A real-time deep learning system was developed to identify extrahepatic bile ducts during indocyanine green fluorescence-guided laparoscopic cholecystectomy. The YOLOv7 model, trained on 3993 images, demonstrated a mean average precision of 0.846 in single-frame validation and estimated accuracies of 94.39% for the common bile duct and 84.97% for the cystic duct in video clip validation. This model could potentially assist surgeons in identifying critical landmarks, thereby minimizing the risk of bile duct injuries during laparoscopic cholecystectomy.

👏👏👏Shih-Min Yin, Jenn-Jier J Lien, I Min Chiu
#SoMe4Surgery #MedTwitter #SurgEd #Surgery @BJSAcademy @BJSurgery @young_bjs @juliomayol @JJEarnshaw @OUPMedicine #some4hpb #some4tpl @hpb_so #bileduct #AI #cholecystectomy

[Anthony Gebran @AnthonyGebran]

@SalimHabib95 Congrats!!

[Anthony Gebran @AnthonyGebran]

@mario_elhayek @MayoClinic @Gaelleh77 @mayofl_imres @AUB_Lebanon Congrats!!

[Anthony Gebran @AnthonyGebran]

@ChebelRoy @WiscSurgery Mabroukkkkk!!! Soo well deserved 💯

[Anthony Gebran @AnthonyGebran]

@hayfarani Nobody more deserving of this!! Congratulations Dr @hayfarani!!!

[JAMA Surgery @JAMASurgery]

Interpretable machine learning methodologies are powerful tools to diagnose and remedy system-related bias in care, such as disparities in access to postinjury rehabilitation care. https://t.co/ENasc1WlHY @hayfarani @dbertsim @AnthonyGebran @LMaurerMD

[Jayson Marwaha, MD MSc @Jayson_Marwaha]

“Instead of accidentally encoding bias, interpretable AI methodologies are powerful tools to diagnose and remedy system-related bias in care.”

Fascinating work by @hayfarani @AnthonyGebran @ElmohebM @LMaurerMD using ML to detect & counteract bias in care https://t.co/QHocGRV8bb

[Haytham Kaafarani @hayfarani]

Bias in AI is a well-recognized problem. In this study @JAMASurgery, AI instead diagnosed & treated bias in care. Not only did this "fairness-flipping" remove disparities in access to rehab post-injury, but it also improved the model's performance.

Equitable care is better care.

[Anthony Gebran @AnthonyGebran]

Can Artificial Intelligence diagnose & remedy, instead of consolidate, racial disparities in care? Check out our new publication in @JAMASurgery to learn about our new AI model addressing disparities in Trauma. Work led by @hayfarani & @dbertsim and the phenomenal MGH/MIT crew.

[JAMA Surgery @JAMASurgery]

Interpretable machine learning methodologies are powerful tools to diagnose and remedy system-related bias in care, such as disparities in access to postinjury rehabilitation care. https://t.co/X7U8mJQtzc @hayfarani @dbertsim @AnthonyGebran @LMaurerMD

[Talal El Zarif, MD @TalalZarif1]

Today we share in @JNCI_Now the final results of our experience on ICI use for penile cancer. Work presented at @ASCO #GU23. Thankful to co-first author @AminNassarMD, co-senior authors @sonpavde @apolo_andrea, colleagues, and patients from across the 🌎!

https://t.co/bLW9kMKcf2

[Talal El Zarif, MD @TalalZarif1]

Taking a moment to appreciate all the amazing people behind this study out today @JCO_ASCO that has been in the works for 2+ years. Hoping that it can guide oncologists caring for people living w/ #HIV and #cancer. https://t.co/zp5pLdQshs

[Matthew D. Neal, MD @macky_neal]

An amazing story of leadership, equity, and inspiration in surgical research by @AdilHaiderMD for the Richard L Simmons Lecture @PittSurgery @PittTweet @PittTTMRC

[Anthony Gebran @AnthonyGebran]

@Savo_MD @MGHSurgery @MGHAusten @MassGeneralNews @MassGenBrigham @motazqadan @TCoeMD @_JonahT Inspiring talk! Thank you @MGHAusten for organizing this and making it available for everyone to join!

[Dias Argandykov, MD @argandykov]

Thankful to #ASC2023 for the privilege to share our work from @TraumaMGH and meet many outstanding academic surgeons! All thanks to my incredible mentors Drs. Velmahos @hayfarani Hwabejire for making this possible! @AcademicSurgery @MGHSurgery

[EAST @EAST_TRAUMA]

#EAST2023 Scientific Session III – Paper 18: https://t.co/8OGMHObpOR

@eljefe_md @argandykov @hayfarani @AnthonyGebran @AnderDorken

[Jefferson Proaño, MD @eljefe_md]

Thrilled to share our findings on geriatric trauma and emergency general surgery at the fantasic #EAST2023! It's great to be part of the @MGHSurgery @TraumaMGH team with incredible mentors like @hayfarani and John Hwabejire

[doc-on-the-run @doc_on_the_run]

Balanced transfusion
35 mm rule for PTX
Timing of VTE Chemoprophylaxis in SOI
Universal screening for BCVI
Surveillance duplex for VTE= fewer PEs

@EAST_TRAUMA #advancingscience