Boosting Tumor Detection Accuracy

Zeineb explains why she upgraded her MRI tumor-detection model from ResNet18 to ResNet50 to build a stronger system for more accurate detection.

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The Hardest Part of Medical AI — 3D Reconstruction

This 3D tumor visualization looks impressive, this system works. But more importantly, it fails loudly when it should.

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The Hardest Part of Medical AI — 3D Reconstruction

This 3D tumor visualization looks impressive, this system works. But more importantly, it fails loudly when it should.

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Building a Medical AI That Doesn't Lie

A brain tumor detection AI that shows its work, expresses uncertainty, and fails loudly when it's not confident.

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Building a Medical AI That Doesn't Lie

A brain tumor detection AI that shows its work, expresses uncertainty, and fails loudly when it's not confident.

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Fine-Tuning, Medical LLMs, and Clinical Alignment

Zeineb improves AutoScanAI through fine-tuning and adds a Medical LLM Explainer to deliver robust, clinically interpretable, WHO-aware AI outputs.

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Fine-Tuning, Medical LLMs, and Clinical Alignment

Zeineb improves AutoScanAI through fine-tuning and adds a Medical LLM Explainer to deliver robust, clinically interpretable, WHO-aware AI outputs.

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Designing Medical AI Without Oversimplifying Reality

Zeineb explains the motivation and design behind AutoScanAI, a clinically grounded medical AI system built for early brain tumor detection using MRI data

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Designing Medical AI Without Oversimplifying Reality

Zeineb explains the motivation and design behind AutoScanAI, a clinically grounded medical AI system built for early brain tumor detection using MRI data

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