Want more tips and tricks for reaching your health goals? Join Lark!

Take our 2-minute survey to find out if you’re eligible to join Lark which includes a smart scale and the chance to earn a Fitbit®.
Start now
*Terms and conditions apply
Close icon

Interested in more health & wellness content from Lark? Let’s stay in touch.

Sign up below for more information from Lark
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Close icon
< Back to Resource Center
< Back to Member Blog

AI Assisted Diagnostic Suite

Natalie
Stein
January 21, 2019
AI Assisted Diagnostic Suite
Lark

Are you at risk of prediabetes?

Lark can help lower your risk for Type 2 Diabetes through healthy habit formation, and data tracking.
Height: 5 ft 4 in
4' 0"
7' 0"
Weight: 160 lbs
90 lbs
500 lbs
LOW RISK
Risk Level
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

What could 15% weight loss mean for you?

Feel more energetic and significantly reduce your risk of chronic conditions like diabetes and cardiovascular disease.

By clicking the button above, you agree to the Lark Terms & Conditions, Privacy Policy, and SMS Terms.

Current Weight: 250 lbs
120 lbs
500 lbs
Your weight loss could be*
- - lbs
Your new weight: -- lbs
Am I eligible?

By clicking the button above, you agree to the Lark Terms & Conditions, Privacy Policy, and SMS Terms.

*Results may vary. Based on the average weight loss in three, 68-week clinical trials of patients without diabetes who reached and maintained a dose of 2.4mg/week of GLP-1 treatment, along with a reduced-calorie diet and increased physical activity. View study here.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Christian Burbach
University of Nebraska Lincoln

Today, the medical community today faces a significant problem in preventative care

when it comes to diagnosis. Software integration is a significant factor in misdiagnosis. The way physicians communicate with one another is intuitive. However, their software does not communicate in the same communicative way. The process to diagnose a patient may take hours, days or weeks before a final decision may be determined. The length of this process only increases the cost to the hospital and the stress of the patient. In a 2016 Johns Hopkins Study, over 250,000 deaths were attributed to medical error, a rate only behind heart disease and cancer. A significant percentage of that subset were attributed to medical misdiagnosis (McMains, 2016).

The current process starts with the radiologist analyzing their scans and making a decision on what they see on the scan. The scan then moves on to the oncologist, who again examines the scans and decides on a course of treatment. This can take anywhere from minutes to hours, to days, and in some cases even weeks. If an oncologist is not sure of which treatment to provide, they bring the scan to their biweekly tumor board meeting. At said meeting, a team of about 30 medical professionals will discuss the best course of treatment for the patient, a process which varies in length per case, and is by no means expedient.

My solution is to provide an AI-assisted Cancer Diagnostic Suite tool for oncologists to use in tandem with their knowledge and expertise. This AI assisted diagnostic tool would utilize machine learning technology on thousands of CT Scans of various cancers, such as lung, prostate, and breast cancer. Partnered with image recognition modeling software, such as Google’s inception model, the AI would be able to identify tumors immediately based on the scans provided it, all through its data-driven model.

There are many immediate benefits of introducing AI assisted cancer diagnosis to the hospitals nationwide. The quick AI diagnosis stands to save precious time for both the patient and the oncologist. In some cases the tumor may require immediate treatment, the AI-assisted diagnosis suite would provide clear diagnoses drawing upon its national database in milliseconds. The AI would also save hospitals money by increasing productivity through the increase in time available to the physician, who otherwise would have been pouring over his scans, as mentioned before. Most importantly, the AI tool would save lives with its ultra-quick data-driven models, allowing preventative care to take place to keep tumors from metastasizing.

The best preventative care takes place immediately, utilizing all available knowledge and data. Misdiagnosis can delay preventative treatment, or even worse, prescribe treatment counterproductive and detrimental to the health interests of the patient. Hospitals have yet to embrace artificial intelligence programs in their diagnosis procedures fully. The future of preventative health is artificial intelligence assisted diagnosis.

Works Cited

McMains, V. (2016, May 03). Johns Hopkins study suggests medical errors are third-leading cause of death in U.S. Retrieved from https://hub.jhu.edu/2016/05/03/medical-errors-third-leading-cause-of-death/

About Lark

Lark helps you eat better, move more, stress less, and improve your overall wellness. Lark’s digital coach is available 24/7 on your smartphone to give you personalized tips, recommendations, and motivation to lose weight and prevent chronic conditions like diabetes.

Read more

Get healthier with Lark & earn a Fitbit®

Lose weight, get more active, and eat better.
take 1-minute survey

See if Ozempic® is covered by insurance

Curb cravings and reach your weight loss goals!
AM I ELIGIBLE?

Similar posts

White Paper: A Comprehensive Examination of the Evidence Supporting Lark’s Digital Health ProgramsWhite Paper: A Comprehensive Examination of the Evidence Supporting Lark’s Digital Health Programs

White Paper: A Comprehensive Examination of the Evidence Supporting Lark’s Digital Health Programs

This white paper demonstrates Lark’s effectiveness and underscores Lark's contribution to reshaping the future of healthcare.

Learn more
Employers Must Brace for 2024 GLP-1 Cost ConundrumEmployers Must Brace for 2024 GLP-1 Cost Conundrum

Employers Must Brace for 2024 GLP-1 Cost Conundrum

The surge in employee demand for GLP-1 medications has presented organizations with an ongoing dilemma of coverage. And this will be exacerbated with the looming arrival of oral GLP-1s3 that will like

Learn more