Faisal Inayat(@FaisalInayatMD) 's Twitter Profile Photo

Extremely elated to present the first Al-driven risk prediction tool for the 30-d individualized risk of VTE after RYGB. Our ML model uses only 6 variables: a history of COPD, DVT, venous stasis, DOAC use, LOS, and HbA1c > 7%.

🔓bit.ly/VTE-RYGB

Extremely elated to present the first Al-driven risk prediction tool for the 30-d individualized risk of VTE after RYGB. Our ML model uses only 6 variables: a history of COPD, DVT, venous stasis, DOAC use, LOS, and HbA1c > 7%.

🔓bit.ly/VTE-RYGB

#GITwitter #Bariatrics
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Lyanna & TIN TIN(@tintinfad) 's Twitter Profile Photo

To the stars! #ReleaseHassanNiazi Faisal Inayat Yeah that's all true arabs and usa donr see eye to eye. My post wasnt at all anti saudia. On the other topic, even I can't CONFIRM it but I guess it won't be too far fetched to assume they had jealousy.
That's how humans are at every level. Considering the vision mbs has for his

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Lyanna & TIN TIN(@tintinfad) 's Twitter Profile Photo

To the stars! #ReleaseHassanNiazi Faisal Inayat Future and how he plans to be there many years down the line, there is a very good chance he was thinking ahead and was assessing 'if Khan stays, how is my relationship in the future going to be with him? Too headstrong, capable of overshadowing me? Hell yeah!'

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Raffaele Di Giacomo, PhD(@sciqst) 's Twitter Profile Photo

Faisal Inayat Hassam Ali, MD Dr Arslan Afzal Christin Wilkinson Gulnawaz Chattha, MD Douglas G. Adler MD, FASGE, FACG, AGAF Babu P. Mohan ECU Gastroenterology & Hepatology Baylor Scott & White Health AIMC American Pancreatic Association Cool work, Faisal Inayat! Incorporating machine learning into patient care, especially with such promising metrics (AUC 0.874 is impressive!), holds the potential to revolutionize how we predict and manage high-risk conditions. Leveraging clinical variables like hypoxia, AKI,

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