Video Tutorials

Step-by-step guides to master medical AI development on AfriBiobank

45+ Video Tutorials
18 hours of Content
4.8 Average Rating

Beginner

15:30

Getting Started with AfriBiobank

Create account, navigate the platform, and access your first dataset

Beginner
12.5K views
4.8
22:15

Understanding Medical Imaging Data

Learn about DICOM, NIfTI, and other medical imaging formats

Beginner
9.2K views
4.9
18:45

Using the DICOM Viewer

Navigate, annotate, and export medical images

Beginner
8.7K views
4.7

Intermediate

45:20

Building Your First AI Model

Train a chest X-ray classifier using PyTorch and AfriBiobank data

Intermediate
15.3K views
4.9
38:50

Federated Learning Tutorial

Train models across multiple institutions without sharing data

Intermediate
7.1K views
4.8
32:15

Data Preprocessing Pipeline

Clean, normalize, and augment medical imaging data

Intermediate
11.4K views
4.7
28:40

Using Pre-trained Models

Fine-tune existing models for your specific use case

Intermediate
9.8K views
4.8

Advanced

52:30

Multi-Modal AI for Diagnosis

Combine X-rays, CT scans, and clinical data in one model

Advanced
5.9K views
4.9
48:15

Deploying Models to Production

MLOps, containerization, and real-time inference

Advanced
6.2K views
4.8
41:20

Explainable AI for Healthcare

Grad-CAM, attention maps, and model interpretability

Advanced
7.3K views
4.9

Specialized

1:02:45

TB Detection in West Africa

Case study: Building a production TB classifier

Advanced
4.1K views
5
56:20

Brain Tumor Segmentation

U-Net and 3D CNNs for medical image segmentation

Advanced
5.5K views
4.9
35:15

Clinical Trial Recruitment

Using AfriBiobank for patient cohort identification

Intermediate
3.2K views
4.7

Curated Learning Paths

Structured courses for different roles

Academic Researcher Path

For PhDs and postdocs new to medical AI

  • 1.Getting Started (3 videos, 56 min)
  • 2.Data Exploration (4 videos, 1h 18min)
  • 3.First Model (5 videos, 2h 5min)
  • 4.Publication (3 videos, 45min)

ML Engineer Path

For AI developers building products

  • 1.API Integration (4 videos, 1h 12min)
  • 2.Model Training (6 videos, 2h 45min)
  • 3.MLOps (5 videos, 2h 18min)
  • 4.Production Deployment (4 videos, 1h 52min)

Clinical Researcher Path

For MDs and clinical investigators

  • 1.Platform Basics (3 videos, 42min)
  • 2.Clinical Trial Support (5 videos, 1h 38min)
  • 3.Using AI Models (4 videos, 1h 15min)
  • 4.Regulatory Considerations (3 videos, 58min)

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