AI enabled Clinical Image Analysis tool

ABOUT

LaVen Health Services Pvt Ltd

(known as KulkarniClinic - dedicated to Healthcare since 1973)

involved in Human health activities | Continued medical education, R&D |

Healthcare technology services & solutions.

BACKGROUND and THE PROBLEM

Triaging patients effectively and efficiently is the first

and the most crucial step in any disease management process.

Clinicians rely on and study various clinically relevant images.

(X-rays, Pathology images, CT scans, MRI scans, ECGs, etc.)

to arrive at logical clinical judgments.

Most clinicians, nurses, patients, and their attendants

forward these images to their attending doctors through social media.

Most smartphone apps that share images

do not offer clinicians tools to quickly evaluate images

objectively.

Users in remote locations are not able to capture

clinically relevant images with proper orientation and

send the images to a clinician for objective analysis in real time.

This results in ineffective triage of patients.

SOLUTION

Boot Strapped MVP (Filed for IP review)

Our Solution / Innovation (currently under Patent Review)

A real-time method for remotely analyzing lesions using smartphones.

The method includes performing a first validation

Assisting in camera orientation in 3D Space to enable better image capture

Calculating several parameters of the clinically relevant image

A user with minimal technical skills and resources can use the app

Apply AI & ML technologies to reduce human errors

WHY FUNDING?

Let's take the example of Breast Cancer.

Person in a remote part of any geography,

by the time they realize something is wrong,

seek medical attention, get directed to the right specialist,

follow proper investigation protocol, get exact clinical care,

the time taken is way too long and, in most cases,

it's too late and too little can be done.

Especially when the medical systems all over the world

are overburdened or underutilized in some cases

performing non medical specialist jobs, the need for an AI-enabled

the triaging system is essential and crucial.

The goal is to bring in technology to speed up the detection

Reduce burden/workload on clinicians and get timely medical attention.

Now having understood the Problem, and the potential solution,

the obvious need is to get the right engineering resources in place.

If we go the traditional debt funding, Angel funding, PE / VC funding, etc

the founders strongly believe the purpose of easy access to technology

will not be served and core purpose may get diluted in board room meeting &

complexities of the financial world.

That is why the founder chose the CrowdFunding route

to keep it really open and accessible,

reach everyone who needs it.

HOW DO WE INTEND TO USE THIS FUND?

The first two versions were bootstrapped.

Now that the POC and MVP is looking encouraging, we need further funding for :

Hire Engineering resources

Get the right software systems and Hardware systems

Design Clinical Trials

Build AI and ML systems to process images faster,

effectively and efficiently.

Who is on your team?

Engineering interns (Varun, Vaibhav and Sharan from GCE Belgaum)

who build basic version of the application

Few Technical advisers and Legal Advisers

Myself and My husband Dr.Ashvath

Special thanks to engineers / interns for your valuable inputs.

Special thanks to a team of Dentists in Vancouver and New Zealand who tested

the first version and gave valuable inputs.

Thanks to Mr.Setu for giving Computer Science Engineering perspectives

and designing the first working version (Sharan, Varun, Vishal, Larina, Akshata, Ashwini ).

Thanks to Dr.Namrata and team of interns from Symbiosis Pune( Anjana, Anushruti, Dr.Smarika, Harini, Kamakhya, Yuva),

Dr.Viju, Dr.Rohini, Dr.Srinivas, Dr.Anil, Dr.Pillai, Eric, Howard, Ambuj, Kuldeep, Vishal, Sudhakaran, Preeti, PGS, Amruta, Bhatta, Vasan, Deepak K, PGS  for their valuable inputs.

Many more people have directly or indirectly contributed to this effort.

We welcome Volunteers who can help us run and manage this campaign,

develop further versions etc.