Wednesday November 20, 2019
Home Lead Story Artificial In...

Artificial Intelligence to Play a Critical Role in Diagnosing Breast Cancer Quickly

"We had about 80 per cent accuracy rate. We will continue to refine the algorithm by using more real-world images as inputs,” Oberai said

0
//
cancer research
Several expert doctors from India, the US, the UK and specialists in the area of Computer Science from India participated in the panel discussions and presentations. Pixabay

Breast ultrasound elastography is an emerging imaging technique that provides information about a potential breast lesion and researchers have identified the critical role AI can play in making this technique more efficient and accurate.

Using more precise information about the characteristics of a cancerous versus non-cancerous breast lesion, this methodology using Artificial Intelligence (AI) has demonstrated more accuracy compared to traditional modes of imaging.

In the study published in the journal Computer Methods in Applied Mechanics and Engineering, Indian-origin researchers Dhruv Patel and Assad Oberai from the University of Southern California showed that it is possible to train a machine to interpret real-world images using synthetic data and streamline the steps to diagnosis.

In the case of breast ultrasound elastography, once an image of the affected area is taken, it is analysed to determine displacements inside the tissue. Using this data and the physical laws of mechanics, the spatial distribution of mechanical properties, like its stiffness, is determined.

In the study, researchers sought to determine if they could skip the most complicated steps of this workflow.

Cancer
Cancer Ribbon. Pixabay

For this, the researchers used about 12,000 synthetic images to train their Machine Learning algorithm. This process was similar to how photo identification software works, i.e learning through repeated inputs on how to recognize a particular person in an image, or how our brain learns to classify a cat versus a dog.

Through enough examples, the algorithm was able to glean different features inherent to a benign tumour versus a malignant tumour and make the correct determination.

Also Read- Over 16 Million Accounts of Indian Influencers on Instagram are Fake

The researchers achieved nearly 100 per cent classification accuracy on synthetic images. Once the algorithm was trained, they tested it on real-world images to determine how accurate it could be in providing a diagnosis, measuring these results against biopsy-confirmed diagnoses associated with these images.

“We had about 80 per cent accuracy rate. We will continue to refine the algorithm by using more real-world images as inputs,” Oberai said. (IANS)

Next Story

Is Oracle Digital Assistant Smarter Than Amazon Alexa? Find Out Here!

Here's Why Oracle's digital assistant better than Amazon's Alexa

0
Amazon and oracle
Amazon Alexa may lag behind Oracel Digital Assistant. Pixabay

Alexa may be your perfect living room assistant, but when it comes to specific queries with particular vocabulary from enterprises, it lags behind in rich capabilities that Oracle Digital Assistant (ODA) has to offer, a top company executive has stressed.

Oracle Digital Assistant can become your intelligent front-end — your smart router that’s able to send all your specific questions to relevant bots, according to Suhas Uliyar, VP-Product Management, Oracle Digital Assistant and Integration Cloud.

“It knows how to handle conflicts, manage security and so on and so forth. It has got Artificial Intelligence (AI) and is AI-trained so we call the routing of your questions to be relevant, and call it a skill now. Instead of bot, it’s a skill,” Uliyar told IANS during an interaction.

According to him, there are a couple of differences compared to Alexa as it works on the same model.

“Alexa is very implicit, where you have to say — Alexa, ask this skill to do something. While Oracle Digital Assistant is both explicit and implicit and you don’t need to sort of say ‘go ask the HCM (Human Capital Management) bot,’ for instance. It’ll just figure out that the question is for HCM bot and will answer accordingly,” Uliyar elaborated.

The other thing is to use the word ‘assistant’ and, according to him, we are overloading the term ‘assistant’ because if you have an ‘assistant’, she or he is smart enough to understand who you are, what your preferences are, know how you work.

“Most of the chatbots respond to a simple question and answer. Next time, it will probably remember who you are. So, the whole context is memory, and also the process side of things,” the Oracle executive added.

Oracle Digital Assistant provides the platform and tools to easily build AI-powered assistants that connect to your backend applications.

The digital assistant uses AI for natural language processing and understanding, to automate engagements with conversational interfaces that respond instantly, improve user satisfaction, and increase business efficiencies.

Most of those voice-enabled application programming interfaces (APIs) are being trained using what’s called Open Common Domain Models, which means that it understands our normal speaking style and content.

“What if an enterprise has a specific vocabulary? For example, a very common thing in Enterprise Resource Planning (ERP) is what’s EBITDA for a company. You try saying EBITDA to Alexa or any other such assistant in the market today, and you’ll most likely draw a blank,” Uliyar told IANS.

Oracle AI
Oracle digital assistant uses AI for natural language processing and understanding. Pixabay

Earnings before interest, tax, depreciation and amortization (EBITDA) is a measure of a company’s operating performance.

According to him, to serve customers with delightful experiences every single time, there has to be a lot of innovation happening — whether it’s mobile, chatbots, Blockchain, AI or AR/VR.

“With all these new realities, what enterprises really need is a platform that can pull that ‘holistic experience’ altogether. That’s sort of the topmost challenge that enterprise customers want to solve,” he noted.

Oracle Digital Assistant is very sophisticated. It has got deep learning and is based on a technology called Sequence-to-Sequence vectoring and creates what we call as logical forms of the statement.

Also Read- Facebook Loves Your Data, and Rakes in Moolah Every Year

“We call it a deep semantic parsing. It’s the underlying technology and is very different given the advancements of deep learning. We can do a much better job instead of understanding the linguistic constructs, versus in the past. This is quite a bit of advancement. We’re definitely very excited about pushing the boundaries,” said Uliyar. (IANS)