AI-OBJECTS

A Collection of Pre Trained Models

It provides pre trained models so that you can customize further with your data.

COMPUTER VISION

Radiology Use cases

This use case is to determine the severity of various deceases such pneumonia, cystogram, fluoroscopy,, etc. It uses the pre trained deep learning models and intuitive ui for the doctors which enables the doctors/radiologists to detect the finer details of the X-Ray images with high accuracy,

COMPUTER VISION

Biopsy Image Annotations

This use case is about using Deep learning models on high resolution MRI/Biopsy images. Detecting various glands and cell types and classify them based on their patterns. Calculate the area and concentration per micro meter level measurements. which correlates various cancer types and severity of the cancer.

This can be used for breast, lung, prostate , thyroid and throat cancers and many more. There is quite lot academic research has been done and NIH provides both guidance and data sel. Hospitals and Pharma have large data set as well.

There are open source efforts to model this pattern. where as AI-OBJECTS done the models and pre trained. It can be further trained and customized to fit the need.

UI/UX allows you to zoom and panning, creation of new annotations, comparisons, deletions and updates. Ability to track the progress of the patterns and measure accurate concentrations using map view.

Computer Vision

Deep fracture analysis

This use case is for orthopedic doctors. Deep learning models are used on the 3D X-Ray images and measure the micro fractures and perform deep analysis find out the nerve pains caused by small deformity,

Computer Vision

Deep Skin Analysis

This use case is for Dermatology department . Deep learning models are used on images taken by the user. User interface provides the ability focus and get high quality pictures. Once high quality pictures are taken is been sent to the AI inference engine for analytics. The analytics report contains the various data point including the scoring, vitamin deficiencies. Statistical comparison to the normalcy will help doctors to treat the symptoms. Skin care product companies can leverage this capability to provide precision product to the consumer.

Computer Vision

Deep Blood Loss Analysis

This use case is for Surgeons . Deep learning models are used on the images taken at the blood wet towels at the surgical table. System automatically weighs the towels and performs inferences the images and measure the accurate blood loss.

computer audio

Automatic Speech Recognition

Developed custom model on top of the DeepSpeech models and improved accuracy and decreased the word error rate to 12%. It is developed to improve accuracy on STEM related subjects such as Biology. It better performed compared to Google and IBM Watson on our Biology test data set

computer audio

Chatbot for your Services

Developed custom NLP and NLU based models on top of BERT algorithm.

Classification

Data Analytics & Predictions

Custom developed and fine tuned models for the fraud detection, email classification, ticket classification, review classification and predictions

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“AI can do lot but what we needed I think AI-Objects delivered it and always we can improve on it. That is the beauty of AI”

Sara Baker

Customer

“I was wondering does really AI works are there any practical applications, after using AI-Objects , it quite clear it has its benefits.”

Philip Dunes

Customer

“Working biopsy images all day long and annotate every little thing is time consuming and AI-Onjects simplified it”

Lauren Thomas

Customer

“I wanted to create ATEM related speech recognition model since I need to realtime transcription service. After evaluating several AI-Objects is pretty .close to our need”

Kimberly Jones

Customer

“Radiology and specifically hair line fractions are harder to determine and porpoises. AI-Objects is pretty good and can speed the findings and huge time saver”

David Cramer

Customer

“We used AI-Objects for our email classification to provide responsive customer support and it is working pretty good and it allows continuous training ”