Theo Dapamede

[Bardia Khosravi, MD @BrdKhsrv]

🚀 @TheoDapamede and I are thrilled to announce #RadPrompter - a Python package for simplified, reproducible, and composable #LLM prompting, providing a flexible framework for crafting complex prompts from reusable components.

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[Theo Dapamede @theodapamede]

@khosravi_bardia @YaleRadiology @YaleIMed @ArdestaniBahar @YaleRadRes @MayoMrfa @StoriesImg @Inside_TheMatch Congratulations, Bardia!

[Theo Dapamede @theodapamede]

@ShahriarFaghani @PennRadiology @PennRadRes Congratulations, Shahriar!

[Theo Dapamede @theodapamede]

Similar to the reporting using the TRIPOD statement, journals could ensure authors follow a similar standard reporting framework, for example: https://t.co/gZQAe35ZvR #RadAIchat

[Radiology: Artificial Intelligence @Radiology_AI]

T5. What are key challenges to defining and creating #AI ground truth? How can scientific journals contribute to the standardization efforts?

#RadAIchat

[Theo Dapamede @theodapamede]

Training set is used to train the model's weights and biases. Validation is used to perform hyperparameter tuning or to select the best model and the test sets are used to evaluate the model's performance. The test sets may be from internal or external datasets. #RadAIchat

[Radiology: Artificial Intelligence @Radiology_AI]

T4. What is the difference between training, validation, and test sets in #AI?

#RadAIchat

[Theo Dapamede @theodapamede]

@ShahriarFaghani Could the validation set also be used for model calibration? #RadAIchat

[Theo Dapamede @theodapamede]

Ground truth labels can be used as benchmark for the performance of the model. This paper by @ImonBanerjee6 shows examples of self-supervised learning tasks evaluated on different ground truths based on their specific downstream task #RadAIchat https://t.co/uisQTvY0wo

[Radiology: Artificial Intelligence @Radiology_AI]

T3. How do different #AI models use ground truth labels?

#RadAIchat

[Theo Dapamede @theodapamede]

@Radiology_AI For tasks such as predicting labels or segmentation radiologists or other domain experts would be annotating the datasets. For ground truths such as denoising tasks, a higher dose image are sometimes used as the ground truths. #RadAIchat

[Theo Dapamede @theodapamede]

@khosravi_bardia @Radiology_AI Ground truths are sometimes subjective or relative, depending on the objective or the AI task. #RadAIChat

[Theo Dapamede @theodapamede]

@Radiology_AI @khosravi_bardia @heacockmd @ShahriarFaghani @KMagudia @RSNA @cekahn @HElhalawaniMD Good evening all! I'm Theo, a postdoc fellow at @EmoryRadiology in @judywawira and @HariTrivediMD's awesome #HITILab. I have experience in developing AI models for spectral photon counting CTs and currently working on AI for opportunistic screening studies. #RadAIchat

[Radiology: Artificial Intelligence @Radiology_AI]

Don't miss the March @Radiology_AI #RadAIchat on Mar. 6 at 8 PM ET on "Defining the ground truth for #AI" moderated by @khosravi_bardia and panelists @heacockmd @ShahriarFaghani @KMagudia @theodapamede #radiomics #AI #ML #DL #radres @RSNA @cekahn @HElhalawaniMD

[Theo Dapamede @theodapamede]

Just received my Science Teaching badge from Emory Continuing Education. https://t.co/DJmNYPQwWz

[Bardia Khosravi, MD @BrdKhsrv]

Thrilled to share our preprint on use of #SyntheticData in medical imaging research!

📝 https://t.co/sbk2IzjAJX

💬 Here is a custom GPT that will answer all your questions about the paper:
https://t.co/mWQ4iCDBKo

Some key takeaways in a 🧵 /1

[Theo Dapamede @theodapamede]

<=>
IFF
If and only if

#math #life

[Theo Dapamede @theodapamede]

What noise annoys an oyster? An annoying noise annoys an oyster.
#tonguetwister

[Theo Dapamede @theodapamede]

There's always a first time for everything.

[Theo Dapamede @theodapamede]

Peek a boo

[Theo Dapamede @theodapamede]

Level 4 lock down across the country.
Back to last year...

[Theo Dapamede @theodapamede]

@heyyyairsss All the best!

[Dr. Imran Farooq @drimran_farooq]

PI and multiple authors writing different sections of the same paper. #AcademicTwitter @OpenAcademics @PhDVoice @PhD_Genie