Surgery Resident @UPMC | Research @Harvardmed @TraumaMGH | MD’20 @aub_lebanon | 🇱🇧🇨🇦
Pittsburgh, PA
Joined April 2013
- Tweets113
- Following591
- Followers682
- Likes951
Anthony Gebran retweeted
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
Anthony Gebran retweeted
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: pubmed.ncbi.nlm.nih.gov/4031…
ALT Top row (left to right): Azadeh Tabari, Yu Ma, Jesus Alfonso, Anthony Gebran Bottom row (left to right): Haytham Kaafarani, Dimitris Bertsimas, Dania Daye
Anthony Gebran retweeted
Deep learning implementation for extrahepatic bile duct detection during indocyanine green fluorescence-guided laparoscopic cholecystectomy: pilot study
➡️doi.org/10.1093/bjsopen/zraf…
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 retweeted
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. ja.ma/3tmnSFk @hayfarani @dbertsim @AnthonyGebran @LMaurerMD
Anthony Gebran retweeted
“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 jamanetwork.com/journals/jam…
Anthony Gebran retweeted
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.
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. ja.ma/3P8Sdjc @hayfarani @dbertsim @AnthonyGebran @LMaurerMD
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.
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. ja.ma/3P8Sdjc @hayfarani @dbertsim @AnthonyGebran @LMaurerMD
Anthony Gebran retweeted
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 🌎!
academic.oup.com/jnci/advanc…
Anthony Gebran retweeted
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. ascopubs.org/doi/abs/10.1200…
Anthony Gebran retweeted
An amazing story of leadership, equity, and inspiration in surgical research by @AdilHaiderMD for the Richard L Simmons Lecture @PittSurgery @PittTweet @PittTTMRC
Anthony Gebran retweeted
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
Anthony Gebran retweeted
#EAST2023 Scientific Session III – Paper 18: bit.ly/3EKKwrA
@eljefe_md @argandykov @hayfarani @AnthonyGebran @AnderDorken
Anthony Gebran retweeted
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
Anthony Gebran retweeted
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
Anthony Gebran retweeted
If one theme captures the magic of that weekend, it is this:
#Lebanon is beyond resilience and will thrive despite the 3 strikes of #Covid, economic collapse & the #beirutblast.
@AUB_Lebanon simply leads, especially in times of crises, and its friends are many and truly care.
Anthony Gebran retweeted
Congratulations to Dr. Haytham Kaafarani, physician-scientist in the #MGHsurgery Division of Trauma, Emergency Surgery and Surgical Critical Care, for being named as the 2022 recipient of the American University of Beirut Surgical Alumni Academic Achievement Award!
ALT Dr. Haytham Kaafarani
Anthony Gebran retweeted
#match2022:
1. To PDs: Don't define IMGs by that label. Ask about the amazing resilience stories & distance travelled.
2. To Applicants: Put your stories in a tweet & tag us, we will amplify.
3. Kickstarting stories: @ak_elissa from 🇱🇧, @argandykov from 🇰🇿, & @eljefe_md from 🇲🇽
Anthony Gebran retweeted
❇️Best of Trauma❇️ In this analysis of massively transfused trauma patients, unbalanced PLT transfusion was more prevalent than unbalanced FFP. The impact of unbalanced PLT transfusion on 24-hour mortality was independent from & potentially more pronounced than unbalanced FFP
Anthony Gebran retweeted
Validation of the artificial intelligence-based trauma outcomes predictor (TOP) in patients 65 years and older
FREE ACCESS!
surgjournal.com/article/S003…
#SoMe4Surgery #SoMe4Trauma
@majedhechi @AnthonyGebran @LMaurerMD @ElmohebM @dbertsim @hayfarani @SWexner @juliomayol @Me4Trauma
