AUTONOMOUS AI ?

 Kishan ,

 

“ In a recent paper titled ‘Autonomous AI for multi-pathology detection in chest X-rays: A multi-site study in the Indian healthcare system’, which is yet to be peer-reviewed, medical AI firm 5C Network’s CEO, Kalyan Sivasailam, and others have shown that autonomous AI can help halve radiologists’ reporting times.”

 

( source > https://www.thehindubusinessline.com/business-tech/radiology-where-ai-makes-up-for-manpower-shortage/article69462261.ece )

 

Extract :

 

“The authors of the paper have outlined the development of an autonomous AI system for chest X-ray interpretation, “trained on a dataset of over 5 million X-rays sourced from healthcare systems across India”.

 

Sivasailam points out that this AI system integrates advanced architectures, including vision transformers, faster R-CNN, and various U-Net models (such as attention U-Net, U-Net++, and dense U-Net) to enable classification, detection, and segmentation of 75 distinct pathologies, ranging from pneumonia to complex conditions.”

 

 

Kishan ,

 

 

This has great significance in the context of your SaaS project , where your AI SYATEM will search through 50 million ( ? ) profiles ( resumes ) on LinkedIn and shortlist ( say ) 50 profiles which “ seem “ very suitable for the Job Description ( used for searching )

 

And these 50 million are TEXT documents ( not Images ) – presumably easy to interpret

 

Read :

 

“What is autonomous AI?

We have heard of AI and generative AI. But what is autonomous AI?

 

Explains 5C Network CEO Kalyan Sivasailam, “Autonomous AI refers to systems that can independently perform tasks by integrating multiple AI capabilities, such as perception and decision-making, with minimal human intervention.

 

For example, in medical imaging, computer vision enables a machine to analyse an image and detect abnormalities. Then, generative AI creates a detailed report describing the findings. When these capabilities — perception, analysis, and report generation — are combined, we achieve autonomous AI.”

 

Elaborating, he says, “Let’s say there is a machine, a black box into which an X-ray image is fed as input. The box first detects the pathology in the image. If it spots any abnormality in the image, that becomes an output for one part of the machine. This is fed as input to another part of the machine, namely the language component, whose output will be a structured report that is generated without a human. This is passed on to a radiologist for validation.”

 

 

Now take a look at > http://www.indiarecruiter.net/wfrmUnansweredQusestions.aspx

 

 

Does this ring a bell ?

 

Could you call these , a list of “ Hidden Diseases “ which a RESUME , could be suffering from ?

 

 

Can you develop some RESUME ANAMOLY DETECTION AUTONOMOUS AI SYSTEM ( RADAAIS ) , which can take those TOP 50 resumes and against each, print out a TEXT OPINION of its findings ?

 

If you can pull this off, you would have VCs lining up at your door  !

 

Good Luck

 

 

hcp