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From Data to Diagnosis: Lessons in Building Trustworthy AI for Healthcare
Tuesday, July 9, 2024
9 AM BST | 10 AM CEST | 6 PM AEST
James Hudson
James Hudson
Head of Customer Success, V7
Dr Christoph Russ
Dr Christoph Russ
Sr. Technical Program Manager for Healthcare, AWS
Dr Ben Johnston
Dr Ben Johnston
Principle Engineer, Franklin.ai
Back
Next in AI

From Data to Diagnosis: Lessons in Building Trustworthy AI for Healthcare

From Data to Diagnosis: Lessons in Building Trustworthy AI for Healthcare
ABOUT

About the Event

Join the discussion

  • How do teams manage the enormous datasets of medical images and videos needed to train accurate AI?
  • How should you incorporate medical specialists into real-time AI development?
  • How can you prioritise data security and compliance whilst accelerating model development?

By 2025, around 90% of all healthcare organizations will be using AI-powered technology for tasks such as diagnosis and patient monitoring. Despite the incredible potential for new AI solutions to optimize and advance medical practices, an overwhelming number of companies in this space fail within the first 5 years. That's why we've invited senior experts from AWS and Franklin.ai to reveal how they overcome the greatest challenges facing AI-first healthcare products.

In this webinar, we draw together insights from these experts on developing successful medical AI, the best practices for building healthcare AI, and overcoming the biggest challenges facing teams in this space. 

Register now
Watch the replay
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SPEAKERS

Hosted by

James Hudson
James Hudson
Head of Customer Success, V7
Dr Christoph Russ
Dr Christoph Russ
Sr. Technical Program Manager for Healthcare, AWS
Dr Ben Johnston
Dr Ben Johnston
Principle Engineer, Franklin.ai
AGENDA

What to expect

01/

A discussion on the current and future demands of Medical AI.

02/

An overview of how Frankin.ai is leveraging the power of AI in pathology to benefit millions of patients every day.

03/

Insights from AWS and Franklin.ai on three of the biggest hurdles to building successful AI for healthcare.

04/

A live Q&A session.

05/
Speakers

Hosted by

James Hudson
Head of Customer Success, V7

Dr Christoph Russ
Sr. Technical Program Manager for Healthcare, AWS

Dr Ben Johnston
Principle Engineer, Franklin.ai

our vision

We’re leading the era of AI-first software

We help companies build software driven by deep learning, to make it accurate, reliable, and indistinguishable from magic.

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Object Detection
Detect and locate the presence of multiple objects within an image, drawing bounding boxes around them to indicate their position and size. Export your labeled data in the desired format or train object detection models on V7 to label more data.
Semantic Segmentation
Divide an image into distinct regions or segments, and assign labels representing the category of objects or features they belong to, to each individual pixel. Label data manually or use V7 auto annotation to achieve pixel perfect accuracy. 
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Instance Segmentation
Leverage V7 annotation tools to detect and delineate individual object instances within an image, and assign a unique label to each pixel that belongs to that instance. Easily create classes with attributes, text, directional vectors, and instance IDs. Train instance segmentation models on V7 in a click.
OCR
Leverage V7’s OCR (Optical Character Recognition) capabilities to convert scanned images or handwritten text into machine-readable text. Detect text regions within an image and get the AI to the char recognize the characters within those regions. V7 works with any language, any alphabet, any format.
Panoptic Segmentation
Use V7 to combine both semantic and instance segmentation to assign a unique label to every pixel in an image, including objects and surrounding context to solve panoptic segmentation tasks. Add and manage classes along with attributes, text, directional vectors, and instance IDs to enrich your annotations. 
Image Classification
Use V7 for image tagging—identify and assign a label or multiple labels to images based on the presence or absence of specific features or patterns within the image. Add tags in bulk, and easily filter your data by classes, annotation authors, statuses, and more.
Keypoint Skeleton Pose
Detect and locate key points or joints within an image, such as human body joints or face features, and estimate the 2D and 3D poses or configurations of those points. Use V7 keypoint skeleton editor in both images and videos, and interpolate your labels to speed up your annotation process.
Document Processing
Use V7’s in built text models, such as Text Scanner, Passport Scanner, Receipt Scanner, or Invoice Scanner to automate the extraction of information from documents (such as text, images, or tables) and convert it into structured data and machine-readable formats. V7 works with any language, any alphabet, any format.
Video Classification
Solve video classification tasks and use V7’s tags to label whole videos or individual frames based on their content or features. Upload videos at their native frame rate or as separate images. Create and assign tags in bulk, and filter your data by classes, annotation authors, statuses, and more. 
Object Tracking
Follow or track the movement of one or more objects within a video sequence by detecting and matching features across frames. Use V7 to create labels manually or using auto annotation, and interpolate between frames to speed up the labeling process. Leverage Instance ID and attributes to enrich your annotations.
DICOM Annotation
Take advantage of V7’s DICOM annotation features such as orthogonal views, image manipulation, windowing, and consensus stage, among many others, to create pixel-perfect segmentations in CT, MRI, X-Ray, or Ultrasound scans. Build automated medical data workflows. V7 supports both DICOM and NIfTI formats, and is FDA and HIPAA-compliant.
Action Recognition
Identify and classify human actions or movements within a video using action recognition. Leverage V7 keypoint skeleton to annotate your data and add attributes, text, directional vectors, or instance IDs to enrich your annotations.
Polyline Annotation
Use V7’s polyline tool to manually draw lines or curves on an image to highlight or mark specific features or regions of interest. Solve any detection, segmentation, and tracking task. 
Whole Slide Pathology
Label whole slide images (WSI) faster with V7 auto annotate tool. Create classes with attributes,  text, and instance IDs to enrich your annotations. Leverage consensus and logic stages to build automated medical workflows. V7 is FDA and HIPAA compliant.
Object Detection

Detect and locate the presence of multiple objects within an image, drawing bounding boxes around them to indicate their position and size. Export your labeled data in the desired format or train object detection models on V7 to label more data.

Instance Segmentation

Leverage V7 annotation tools to detect and delineate individual object instances within an image, and assign a unique label to each pixel that belongs to that instance. Easily create classes with attributes, text, directional vectors, and instance IDs. Train instance segmentation models on V7 in a click.

Panoptic Segmentation

Use V7 to combine both semantic and instance segmentation to assign a unique label to every pixel in an image, including objects and surrounding context to solve panoptic segmentation tasks. Add and manage classes along with attributes, text, directional vectors, and instance IDs to enrich your annotations. 

Image Classification

Use V7 for image tagging—identify and assign a label or multiple labels to images based on the presence or absence of specific features or patterns within the image. Add tags in bulk, and easily filter your data by classes, annotation authors, statuses, and more.

Keypoint Skeleton

Detect and locate key points or joints within an image, such as human body joints or face features, and estimate the 2D and 3D poses or configurations of those points. Use V7 keypoint skeleton editor in both images and videos, and interpolate your labels to speed up your annotation process.

Video Classification

Solve video classification tasks and use V7’s tags to label whole videos or individual frames based on their content or features. Upload videos at their native frame rate or as separate images. Create and assign tags in bulk, and filter your data by classes, annotation authors, statuses, and more.

Semantic Segmentation

Divide an image into distinct regions or segments, and assign labels representing the category of objects or features they belong to, to each individual pixel. Label data manually or use V7 auto annotation to achieve pixel perfect accuracy.

OCR

Leverage V7’s OCR (Optical Character Recognition) capabilities to convert scanned images or handwritten text into machine-readable text. Detect text regions within an image and get the AI to the char recognize the characters within those regions. V7 works with any language, any alphabet, any format.

Object Tracking

Follow or track the movement of one or more objects within a video sequence by detecting and matching features across frames. Use V7 to create labels manually or using auto annotation, and interpolate between frames to speed up the labeling process. Leverage Instance ID and attributes to enrich your annotations.

Document Processing

Use V7’s in built text models, such as Text Scanner, Passport Scanner, Receipt Scanner, or Invoice Scanner to automate the extraction of information from documents (such as text, images, or tables) and convert it into structured data and machine-readable formats. V7 works with any language, any alphabet, any format.

Polyline Annotation

Use V7’s polyline tool to manually draw lines or curves on an image to highlight or mark specific features or regions of interest. Solve any detection, segmentation, and tracking task.

Action Recognition

Identify and classify human actions or movements within a video using action recognition. Leverage V7 keypoint skeleton to annotate your data and add attributes, text, directional vectors, or instance IDs to enrich your annotations.

Whole Slide Pathology

Label whole slide images (WSI) faster with V7 auto annotate tool. Create classes with attributes,  text, and instance IDs to enrich your annotations. Leverage consensus and logic stages to build automated medical workflows. V7 is FDA and HIPAA compliant.

DICOM Annotation

Take advantage of V7’s DICOM annotation features such as orthogonal views, image manipulation, windowing, and consensus stage, among many others, to create pixel-perfect segmentations in CT, MRI, X-Ray, or Ultrasound scans. Build automated medical data workflows. V7 supports both DICOM and NIfTI formats, and is FDA and HIPAA-compliant.