AI in Medical & Healthcare

Build applications that will revolutionize the Medical & Healthcare industry!

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Join students from top institutions
 

Keeping a finger on the pulse

AI is transforming the healthcare industry. From diagnostics and predictive analytics, to AI-driven imaging and natural language processing, AI is redefining how we do healthcare. 

Keeping a finger on the pulse

AI is transforming the healthcare industry. From diagnostics and predictive analytics, to AI-driven imaging and natural language processing, AI is redefining how we do healthcare. 

The Problem

As it stands, healthcare is an industry suffering from inefficiencies, diagnostic errors, limited accessibility, and data overload, which impacts patient care and creates disparities.

The Problem

 

As it stands, healthcare is an industry suffering from inefficiencies, diagnostic errors, limited accessibility, and data overload, which impacts patient care and creates disparities.

Integrating AI optimizes healthcare by unifying large language models, computer vision, and data science for efficient workflows. Above it all, AI enhances accessibility, democratizing advanced diagnostics, and enables efficient data management, offering practical insights into the industry.

Integrating AI optimizes healthcare by unifying large language models, computer vision, and data science for efficient workflows. Above it all, AI enhances accessibility, democratizing advanced diagnostics, and enables efficient data management, offering practical insights into the industry.

The Solution

Enter the 

AI in Medical & Healthcare Course

With Augmented AI, learn to build applications using YOLOv9/v8, LLM's, Data Science in Python, & design the future of the Medical & Healthcare sector.

Explore the cutting-edge integration of AI in healthcare.

Module 1: Assistant Applications

  • Application 1: Personal Health Assistant
  • Application 2: Mental Health Therapist Chatbot

Module 2: Detection Applications

  • Application 3: Missing Medical Tools Detection
  • Application 4: Pneumonia Detection from Chest X-Rays¬†
  • Application 5: Skin Cancer Detection
  • Application 6: IR Camera Fever Detection

Module 3: Classification Applications

  • Application 7: Brain Tumor Classification using MRI Imagery
  • Application 8: Diabetic Retinopathy Classification using Retina Images

Module 4: Prediction Applications

  • Application 9: Heart Disease Prediction
  • Application 10: Diabetes Prediction
  • Application 11: Mortality Prediction for Intensive Care Units

Module 5: Segmentation Applications

  • Application 12: Brain Tumor Segmentation using 3D-MRI Imagery
  • Application 13: PolyP Segmentation on Multi-Class Images for Gastrointestinal
  • Bonus 1:¬†Cell Nuclei Segmentation Application

Module 6: Measurement Applications

  • Application 14: Breathing Rate Monitor
  • Bonus 2:¬†Heart Rate Measurement using YOLOR/v7
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Our Applications

IR Camera Fever Detection

A fever detection system using an IR camera to detect faces and measure temperatures. It flags individuals with a fever, saving images and data for tracking and analysis. Features include face detection, temperature measurement, and a user-friendly Gradio interface for easy interaction and retrospective analysis.

 Gastrointestinal PolyP 

Segmentation

A tool to identify and delineate polyps in gastrointestinal endoscopy images using a segmentation model and LLM, with a Gradio-chat interface for image uploads and visualization.

Brain Tumor Segmentation

An assistive tool using SwinUNETR for segmenting 3D-MRI images into tumor regions, providing insights on disease management, with a Gradio-chat interface for image uploads and displaying results.

 

Skin Cancer Detection

A assistive skin cancer detection tool using GPT Vision and YOLOv8/v9 for classification. The tool fuses results from both models to determine the type and severity of skin cancer, guiding the need for medical attention.

Intensive Care Units Mortality Prediction

Predict ICU mortality rates using auto-sklearn classification and an LLM for data collection. The tool offers a question-answer interface for easy data input and result presentation.

 

Diabetic Retinopathy Classification

Classify diabetic retinopathy severity in retina images  using YOLOv8 and an integrated LLM assistant. It features a Gradio-chat interface for image uploads and interaction.

Breathing Rate Monitor

The system detects faces or heads, amplifies subtle movements related to breathing using Eulerian Video Magnification, and saves images to a database for retrospective analysis. 

Cell Nuclei Segmentation 

A tool for segmenting cell nuclei in medical images to aid in research and diagnosis. The tool accurately identifies and delineates nuclei in microscopic images, providing crucial data for further analysis..

Heart Disease Prediction

Develop a tool to predict heart disease using an Xgboost classifier and a LangChain-based assistant. It uses health and biological data, facilitated by an interactive Gradio-chat for data collection and displaying predictions.

Pneumonia Detection

Using a ResNet50 classifier and an LLM-based assistant. The tool will provide auxiliary disease information and feature a user-friendly Gradio-chat interface for uploading and analyzing X-rays

Diabetes Prediction

Predict diabetes using scikit-learn's lazy classifiers and an LLM assistant, enabled by an interactive Gradio UI. Deploy easily on Google Colab for seamless access and efficient interaction.

Missing Medical Tools Detection

A chatbot to detect missing medical tools before and after an operation using YOLOv9. It features a Gradio-chat interface for user interaction, informing users if any tools are missing post-operation.

Brain Tumor Classification

An assistive radiology tool using YOLOv8 and a LangChain-based LLM to classify MRI brain images into glioma, meningioma, no tumor, and pituitary tumors, with a Gradio-chat interface for uploads and interactions.

Personal Health Assistant

Featuring Gradio-chat interface, a personal health assistant chatbot (fine-tuned on LLAMA2 7B) provides comprehensive health advice and accurate Q&A, with seamless and interactive conversations.

Mental Health Therapist Chatbot

An AI-powered chatbot designed to provide initial mental health support, offering 24/7 emotional support, relaxation techniques, and guidance to professional resources when needed.

5 hours + content

Code + Datasets

Beginner Friendly

Lifetime Access

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What do industry leaders say about our program?

Constantin Shafranski

Data Scientist at Cognyte

As someone who has not yet dealt with image segmentation, I found this course to be quite helpful. It emphasizes the background theory appropriately, which I believe is quite crucial to get some idea of the topic and not "dive" straight into the coding part without actually understanding how things should operate. In addition, the course is designed in such a way that even someone who is not an expert AI coder may follow along without wondering "what the F* is going on here?". The instructions are clear, and the information is well-organized. A lot of the information regarding the entire process of building and preprocessing a custom dataset is also applicable to a variety of different tasks in the image domain, thus the course is also a very valuable source of reference.

GitHub

Christopher Berry

Data Scientist at Alfred Health

You won't find courses with higher quality, I’ve done countless online courses from many different platforms and individuals but the courses produced by Ritesh and Augmented Startups are the best Computer Vision courses you’ll find. Their project ideas are extremely innovative, and they’re always implementing the latest state-of-the-art algorithms, so it’s no surprise that their models achieve elite results. My favorite project was the Heart Rate Detection and which achieved amazing FPS which is a testament to the quality of their code. I just enrolled in their YOLO+ course and I look forward to enrolling in future courses their team creates too.

Thank you, Ritesh, and Augmented Startups, all the best ūüėä

Chris

Emmanuel Oluga

Medical Design Innovations Lab at UTSA

Ritesh is truly one of the most Intelligent and resourceful Individuals I have ever met and collaborated on activities with. He is always enthusiastic about taking on challenges and providing actionable and effective solutions, whether it be in the field of Computer Vision, graphics, and Machine learning for practical applications or it is in any other field where an innovative approach to problem-solving is Indispensable. Most impressive and inspirational are his Communication, Interpersonal, and leadership skills that accentuate his technical expertise in the fields of Al and ML for Machine vision applications. These qualitative and quantitative skills and traits he possesses, position him well to thrive in any endeavor and environment.

LinkedIn

What's Included?

One-on-one personal coaching

Exclusive to the Elite Plan: Get two, 15 minute private coaching sessions with Ritesh Kanjee, a thought leader in computer vision.

Access to private inner circle

Get access to a private online and WhatsApp community, where you can network with students and professionals, ask questions, and get feedback on your projects.

Monthly Hands-On AI challenges

Gain new skills in our Inner Circle, with additional monthly projects and challenges that provide hands-on experience.

VIP Tech Support - Fast Assistance

Get fast and reliable technical assistance with VIP Tech Support. Our expert technicians are available 24/7 to solve any issues, ensuring that your code runs smoothly and hassle-free.

AI Internship Opportunities

Augmented AI offers internships and apprenticeships to launch your career in AI. Gain hands-on experience and real-world skills to succeed in this growing industry.

ChatGPT Prompt Engineering Course

[Bonus] Join the ChatGPT revolution and become an expert prompt engineer with our cutting-edge course. Learn to generate natural language text and automate tasks using AI.

Bonus Project 1

StreetStat Application with Kivy | YOLOv8

An advanced object detection algorithm, to provide real-time statistics and insights about traffic and presenting it in Graph format.

$299

Bonus Project 2

Waste Detection Flask Application | YOLOv8

A detection app is an application designed to detect and identify plastic waste in the environment. The app uses image recognition technology and machine learning algorithms to analyze photos of waste captured.

$299

Certification

Once you complete the course, you will graduate with an Official Certificate, which is embedded with a unique ID that you can share on LinkedIn.

Your Instructor

Ritesh Kanjee

  • 71k Students Augmented Startups

  • M(Eng.) Electronic University of Joburg

 

Course Development Timeline

Development for our course began on April 2nd, 2024, with pre-orders opening on May 30th. The course will officially commence on June 30th 2024. We anticipate beta completion by June 15th and full course completion by June 30th, 2024.

Pricing

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AI in Medical & Healthcare Nano Course

FREE

PREVIEW

  • Module 1: Assistant¬†Applications
    • App 1: Personal Health Assistant
    • App 2: Mental Health Therapist Chatbot

  • LIFETIME ACCESS to¬†AI in Medical & Healthcare¬†Nano

  • Discord & Facebook Community

[Normal Price $49]

PREVIEW FOR FREE

AI in Medical & Healthcare Mini Course

$69

ONCE OFF

  • Module 1: Assistant¬†Applications
  • Module 2:¬†Detection Applications
    • App 3: Missing Medical Tools Detection
    • App 4: Pneumonia Detection from Chest X-Rays¬†
    • App 5: Skin Cancer Detection (Coming Soon)
    • Application 6: IR Camera Fever Detection¬†(Coming Soon)
  • Module 3:¬†Classification¬†Applications
    • App 7: Brain Tumor Classification using MRI Imagery
    • App 8: Diabetic Retinopathy Classification using Retina Images

  • LIFETIME ACCESS to AI in Medical & Healthcare Mini

  • VIP Technical Support via Chat¬†

  • ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)

  • WhatsApp, Discord & Facebook Community

 [Normal Price $199]

PRE-ORDER FOR $69 Once Off

AI in Medical & Healthcare Pro Course

$89

ONCE OFF

  • Module 1:¬†Assistant¬†Applications
  • Module 2:¬†Detection Applications
  • Module 3:¬†Classification¬†Applications
  • Module 4:¬†Prediction Applications
    • App 9: Heart Disease Prediction
    • App 10: Diabetes Prediction
    • App 11: Mortality Prediction for Intensive Care Units¬†(Coming Soon)
  • Module 5:¬†Segmentation Applications
    • App 12: Brain Tumor Segmentation using 3D-MRI Imagery¬†(Coming Soon)
    • App 13: PolyP Segmentation on Multi-Class Images for Gastrointestinal¬†(Coming Soon)
    • Bonus 1:¬†Cell Nuclei Segmentation Application
  • Module 6: Measurement¬†Applications
    • App 14:¬†Breathing Rate Monitor¬†
    • Bonus 2:¬†Heart Rate Measurement using YOLOR/v7

  • LIFETIME ACCESS to AI in Medical & Healthcare¬†Pro

  • VIP Technical Support via Chat¬†

  • 1x 15-Minute Private¬†1-on-1 Coaching Session with Ritesh Kanjee

  • ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)

  • WhatsApp, Discord & Facebook Community

  • Certificate of Completion

  • [Bonus 1]¬†StreetStat Application with Kivy | YOLOv8
  • [Bonus 2]¬†Waste Detection Flask Application | YOLOv8

 [Normal Price $299]

PRE-ORDER FOR $89 Once Off

Payment Plan

Unlock AI in Medical & Healthcare Pro with our easy installment plan - Pay only $47 per month over 2 comfortable months!

PRE-ORDER PRO- Pay $47/month for 2 months

Subscribe to the Augmented AI University

 Get the AI in Medical & Healthcare course as part of our Augmented AI University Subscription for only $24.9 p/m

Paid Annually

Join Augmented AI University for courses in AI Agriculture, Chatbots, Trading, YOLOv9, Self-Driving Cars, Jetson, AI Influencers, and more.

ORDER FOR $24.9 P/M PAID YEARLY

We stand behind the quality of our AI in Medical & Healthcare course.

If you're unsatisfied within 7 days, we offer a no-questions-asked, 100% money-back guarantee. 

Not applicable to the Installment plan.

FAQ

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Don't let the AI revolution pass you by. Sign up for the AI in Medical & Healthcare course today and take the first steps in developing applications that will revolutionize the Medical Industry.

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