Medical AI models often struggle with incomplete imaging data due to variations in scanning protocols, patient motion, or hardware differences. These gaps introduce biases, reducing model generalizability and limiting clinical reliability. To tackle this, we developed adversarial networks (GANs) and robust deep learning strategies to reconstruct missing scans and enhance model performance. Our findings reveal that GANs can generate images with clinically meaningful information, outperforming traditional methods. This approach not only fills the gaps in data but also opens new possibilities for AI-driven diagnostics, ensuring more accurate and equitable healthcare solutions.
Yael Hodaya Moshe is a mathematics and data science researcher specializing in deep learning, computer vision, and generative models for medical applications. Currently completing a Ph.D. in applied mathematics at Bar-Ilan University & Sagol Brain Institute, Ichilov, Yael focuses on deep learning methods for MRI analysis and addresses missing data challenges in brain tumor classification. Experienced in GANs, diffusion models, and automated nerve pathway mapping, Yael is passionate about advancing AI solutions for medical imaging.
| 8:45 | Reception |
|---|---|
| 9:30 | Opening remarks by WiDS TLV ambassadors |
| 9:45 | Dr. Mor Geva , Tel Aviv University: “MRI for Large Language Models: Mechanistic Interpretability from Neurons to Attention Heads” |
| 10:15 |
Panel: “Pioneering Progress: a strategic look at the GenAI revolution and the new role of data scientists“ Shani Gershtein, Melingo Mirit Elyada Bar, Intuit Dr. Asi Messica, Lightricks Moderated by Nitzan Gado, Intuit |
| 10:45 | Poster pitches |
| 10:55 | Break |
| 11:10 | Lightning talks session |
| 12:30 | Lunch & poster session |
|---|---|
| 13:30 | Roundtable session & poster session |
| 14:30 | Roundtable closing |
| 14:40 | Shunit Agmon, Technion: “Bridging the Gender Gap in Clinical AI: Temporal Adaptation with TeDi-BERT” |
| 15:00 | Shaked Naor Hoffmann, Apartment List: “Building Generative AI Agents for Production: Turning Ideas into Real-World Applications” |
| 15:20 | Closing remarks |
| 15:30 | The end |
WiDS Tel Aviv is an independent event that is organized by Intuit’s WiDS TLV ambassadors as part of the annual WiDS Worldwide conference, the WiDS Datathon, and an estimated 200 WiDS Regional Events worldwide. Everyone is invited to attend all WiDS conference and WiDS Datathon Workshop events which feature outstanding women doing outstanding work.
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Design: Sharon Geva
