@ParasLakhaniMD Profile picture

Paras Lakhani

@ParasLakhaniMD

Radiologist at Progressive Physician Associates @mystlukes, formerly @jeffersonrads, #AI, #radiology, #healthcare

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Paras Lakhani Reposted

Wow -- @Radiology_AI has landed in the TOP QUARTILE of all #Radiology journals and #AI journals! Thanks to the authors, reviewers, and readers who have made it possible! #MachineLearning #ArtificialIntelligence @RSNA @ScimagoJR

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Congratulations to @BFlanksteak for being endowed as the “William E. Conrady, MD, Professor of Radiology Informatics” at @TJUHospital @JeffersonRads ! Adam has been a great informatics mentor to all of us at Jefferson and me especially. Go Adam!

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Paras Lakhani Reposted

How does overfitting and generalization impact the deployment and utilization of #ImagingAI? Our experts share their insights in the new #ACRDSI AI Assistant blog ➡️ bit.ly/3EylAEO @ParasLakhaniMD

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Paras Lakhani Reposted

Excited to announce the Emory BrEast imaging Dataset (EMBED) developed by the @hiti_lab, representing 116,000 women including 50,000 African Americans, 3.5M images, and 40,000 ROIs tied to imaging descriptors and pathologic outcomes bit.ly/3rHJsB7


Paras Lakhani Reposted

creating FLAIR from DWI in acute stroke with DL. Tim Carroll's ed "This study exploits redundant information in everyday MRI, and the synthesis of clinically actionable images could well be transformative or lead to yet another way of reducing scan times." pubs.rsna.org/doi/10.1148/ra…


Paras Lakhani Reposted

I'm the lead author of the first and largest academic evidence review of masks, published in the Proceedings of the National Academy of Sciences, with 141 references. The claim that evidence doesn't support use of masks in kids in classrooms couldn't be more wrong. 1/🧵



Paras Lakhani Reposted

Getting Started in Medical #AI Bookmark this! Any medical professionals wondering how they can learn more about AI should read this. A fantastic collection of online resources by @curtlanglotz! buff.ly/3wS4DQZ #MachineLearning #DeepLearning #radiology #radres

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Paras Lakhani Reposted

Mark your calendars to join this incredibly exciting webinar with a stellar cast of speakers 😎 @RadiologyACR @ACRRFS @JoanPowersLynch @DigitalAngio @DrGMcGinty @ParasLakhaniMD @bibballen @asset25 @lagshea @varun_danda @GreggKhodorov Registration link: pages.acr.org/DSI-MESO-webin…

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Paras Lakhani Reposted

We're partnering with @SIIM_Tweets and @GVAfisabio to host the COVID-19 AI Detection Challenge! Build a model for faster diagnosis of #COVID19 and compete for prizes totaling $100,000: bit.ly/3wj9vOh #RSNAI #RadAI #AI @kaggle

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The SIIM FSIABO RSNA COVID-19 chest X-ray challenge is live! Thanks to all the annotators for their effort, all of the organizers for their support, including MD.AI, and excited to see data scientists work on this important topic. kaggle.com/c/siim-covid19…


Paras Lakhani Reposted

Presenting the largest public, multinational dataset of pulmonary embolism CT images – annotated by expert chest radiologists! doi.org/10.1148/ryai.2… @RobynLBall @DrAnouk @MonganMD #ChestRad #RadAI #ML

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Paras Lakhani Reposted

*Annotated dataset alert* Radiologist bounding box annotations available for BIMCV Dataset! Annotations at: osf.io/b35xu Preprint at: lnkd.in/d4BSaCh View the data at covbase4all.igib.res.in @MayankVatsa3 @AnuragAgrawalMD @IITJ_Official @CARINGresearch


Paras Lakhani Reposted

remember when you found an open COVID imaging dataset? 😃 but then you discovered... no ᔕᑌᗷᔕᑭEᑕIᗩᒪIᔕT E᙭ᑭEᖇT ᗩᑎᑎOTᗩTIOᑎ 😖 well, happy new year: cutt.ly/0jfYGOs 🥳 the first 𝕒𝕟𝕟𝕠𝕥𝕒𝕥𝕖𝕕 multinational multimodal COVID dataset😍 @RSNA @EuSoMII

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Paras Lakhani Reposted

Artificial Intelligence of COVID-19 Imaging: A Hammer in Search of a Nail | Radiology pubs.rsna.org/doi/10.1148/ra…


Paras Lakhani Reposted

A new exciting @kaggle competition in Radiology AI! Classify the presence and correct placement of tubes on chest x-rays: kaggle.com/c/ranzcr-clip-… Thanks to @RANZCRcollege and md.ai for the organization and labeling.

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Standardized reporting can elevate radiologists’ top product from single-use to reusable asset ⁦@BFlanksteak⁩ ⁦@JeffersonRadshealthimaging.com/topics/confere…


Congrats to @ianpanmd for winning the Educational Merit Award for the RSNA-STR PE Kaggle Challenge for the clarity and comprehensiveness of his explanation @RSNA @kpa_kathy @kaggle @thoracicrad Well done! press.rsna.org/timssnet/media…


Paras Lakhani Reposted

Eye tracking with speech recognition was 92% accurate in labeling lesion locations from the training dataset doi.org/10.1148/ryai.2… @EAKrup @NIHRadiology @uciradiology #AI #ML #MachineLearning

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Paras Lakhani Reposted

Strong 💪 work by R2 Russell Reeves. Ability of admission CXR to predict outcomes in hospitalized COVID-19 patients. @JeffersonRads @TJUHospital @andrew_gomella @CorbinPomeranz @ParasLakhaniMD

CXR may assist risk assessment and clinical decision making early in the disease course of COVID-19. ajronline.org/doi/abs/10.221…

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