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Plus: Google releases Gemini, says it's the next generation AI model | 15 Top Health Systems 2023 | Key Takeaways on AI and security from health IT leaders
Sanjaya Nagahawatta
December 07, 2023
TOGETHER WITH
Good morning!
Welcome to Healthcare AI News, your weekly dose of the latest developments and headlines in the world of Healthcare AI.
In this issue, we explore:
✅ Headlines: 50 most promising digital health startups in the world
✅ Industry: Wegovy rival launches
✅ Interesting Reads: Powerful women are transforming the healthcare
✅ Tech: How Canva implemented end-to-end tracing
✅ Feature: 5 dental AI tools we're watching
HEADLINE ROUNDUP
Google releases Gemini, says it's the next generation AI model (Read More)
Are health systems mature enough to use AI properly? (Read More)
Can AI find the children at risk of mental health conditions? (Read More)
Deep learning model flags non-smokers at increased risk for lung cancer (Read More)
50 most promising digital health startups in the world (Read More)
EU closer to landmark AI Act after marathon overnight talks (Read More)
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Ideal for hospitals and healthcare providers, Gretel’s synthetic data helps in meeting HIPAA and GDPR compliance, training sophisticated diagnostic models, and driving medical innovations that improve patient outcomes. Start exploring these possibilities for free.
INDUSTRY NEWS
Wegovy rival launches (Read More)
20% of individuals listed as alive in EMR were deceased (Read More)
CVS is shaking up drug pricing. You can thank Mark Cuban (Read More)
Large language model may help better identify postpartum hemorrhage (Read More)
Athenahealth expands the use of AI to cure complexity for practices, providers, and patients (Read More)
How virtual doulas are helping pregnant people have fewer C-sections (Read More)
Fortune/PINC AI 15 Top Health Systems 2023 (Read More)
INTERESTING READS
TECH NEWS
HEALTHCARE AI JOBS
THE FEATURE
5 dental AI tools we're watching
Let us ask you this: What area of healthcare do you think is most ripe for AI disruption?
We’d bet you might not think of dentistry and oral care.
But if you saw the number of AI-focused dental research studies increasing each year, you’d probably change your mind.
If you think about it, it makes sense. This field has a large visual emphasis when it comes to diagnostics. Medical AI loves imaging.
Plus, in the U.S., oral care is an area of healthcare still dominated by private practices and chains of dental offices. There’s more heterogeneity in the market and a much greater need for trust-building and one-on-one relationship management.
Today, we’re giving you the lowdown not just on why oral care is such an exciting area for healthcare AI development, but also 5 tools we’re especially stoked to watch develop.
1. Enhanced X-ray Diagnostics
Old-school X-ray imagining gets a much-needed upgrade with these tools.
Whether it’s cavity detection or bone loss measurement, FDA-cleared AI models help make all those great shots of the inside of your mouth much more useful.
Players in this space:
Why we’re excited: These tools aren’t trying to replace the existing (and essential) dentist-patient relationship. They reinforce it.
By powering their preventive care capacity, these tools help dentists build trust. They make dental providers more exacting in their work, ensuring they miss less disease.
You can even see this in their marketing. Pearl refers to itself as the “second opinion” alternative for patient skepticism.
2. Dental Practice Management
Think of all the AI-enabled practice management suites out there. We bet you can name at least half a dozen.
But how many do you know that are specific to dental practices?
One of our favorite dental practice intelligence platforms comes from Pearl. It offers a one-stop shop for everything practices and back-office staff need—from AI-enabled patient recall to referrals. Plus, Pearl’s Second Opinion imaging AI is built right in.
Why we’re excited: Products in this space recognize how special the field of dentistry is.
As a market still dominated by small practices rather than large clinics and corporations, the focus for SaaS solutions must be on small and even solo operations. Unlike with many traditional EMR vendors, the needs of small practices don’t get left in the dust in favor of winning big business. That’s a win for providers if we’ve ever seen one.
3. Dental Claim Intelligence
Since we’re talking about workflows and operations in dentistry, we’d be remiss not to mention the particularities of payers in this space.
Overjet is a strong player in this arena. Their AI-powered claims review platform is bolstered by workflow automation and access to dental consultants for manual review.
Why we’re excited: As with dental practice management solutions, AI-powered claims management providers recognize the need for smoothness and relationship management in the dental space.
4. Oral Cancer Detection
One of the biggest diseases dental providers look out for is oral cancer.
And if you’ve been following developments in healthcare AI, you know cancer detection is a classic application of imaging-focused algorithms.
In dentistry, researchers are using deep learning or neural network approaches to classify the kind of oral lesions that pose an oral cancer risk.
Want to dig in? Here are two studies on early oral cancer detection we think deserve highlighting:
Why we’re excited: While there are no approved oral cancer detection models out there (yet), properly annotated data is bringing us ever closer. Eventually, we expect dentists will rely on these tools for earlier detection and treatment of this underestimated killer.
5. Orthodontic procedure planning
If you’ve ever had an orthodontic procedure (yes, childhood braces count), you know the following is true. Orthodontists do a lot of planning and forecasting when it comes to their procedures.
Researchers in the orthodontics space are already publishing papers discussing how AI is set to revolutionize this area of oral health.
As with dental imaging analysis, orthodontic clinical decision support will likely act as a second opinion. They will bolster orthodontists’ treatment plans and offer patients assurance for their likely outcomes.
Why we’re excited: This area of oral health holds a lot of opportunity for disruption with medical AI. This is especially true when it comes to predictive
diagnostics, like analyzing the size of unerupted teeth or planning the start and endpoints of teeth to move
Final thoughts from HCAIN
One notable area of caution around these technologies is that of overtreatment.
Whenever there’s potential early detection of disease, there’s always the risk of overzealous intervention. When it comes to dental care, unnecessary procedures mean additional risk of infection, out-of-pocket expenses, and extra pain and stress.
This is another reason why careful regulation of these tools—and healthcare AI across the spectrum—is something we both need and celebrate.
With that said, we hope you’re excited about the prospect of these technologies improving your experiences in the dentist’s chair.
Which of these tools do you think will be most impactful? We’d love to hear your thoughts.
TWEET OF THE WEEK
Picture this, less waiting, more solving 💡. Healthcare contact centers are ditching old school for AI and automation. The result? Quicker, smarter patient care.
— Healthcare AI Newsletter (@AIHealthnews)
5:10 PM • Dec 6, 2023
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