Skip to content
How to prevent medical necessity denials
IMO Studio Login
Products
Close Products
Open Products
Knowledge Graph
IMO Clinical AI
IMO Studio
[ POINT OF CARE WORKFLOW ]
Problem lists and documentation
IMO Core
Surgical scheduling and OR efficiency
IMO Core Periop
Procedure documentation and coding
IMO Core Procedure
IMO Core global
[ DATA QUALITY MANAGEMENT ]
Data standardization and NLP
IMO Precision Normalize
Value set management
IMO Precision Sets
IMO Health Platform
Solutions
Close Solutions
Open Solutions
Clinical trials
Data standardization
Denials management
Inaccurate coding
Risk adjustment
Systematic literature review
About Us
Close About Us
Open About Us
Our Story
Leadership
Our Experts
Careers
Partnerships
Resources
Close Resources
Open Resources
Resource Library
Case Studies
Webinars
Health IT 101s
Research
Events
Developer Portal
Contact Us
Schedule demo
Search Results: AI – Page 2
Search
Search
SLR 101: A guide to AI in systematic literature review
Get up to speed on all things SLR, including what it is, why it’s challenging, and how to integrate AI thoughtfully.
The enterprise AI platform accelerating systematic literature review with clinical-grade precision
Precision-first automation that reduces SLR timelines from months to days - without sacrificing rigor, auditability, or control.
Preventing medical necessity denials in a strained revenue cycle
Although costly, medical necessity denials are not inevitable. See why.
Why downstream denials management fails for medical necessity
Although costly, medical necessity denials are not inevitable. See why.
Refining ambient AI for behavioral health with precise clinical terminology
Ambient scribes are surfacing across healthcare, including specialty fields like oncology and psychiatry. Learn why they need clinical grounding to scale.
Why drug repurposing requires biomedical NLP and AI
Learn how NLP and generative AI are enhancing drug discovery and repurposing by extracting insights from complex biomedical data.
FDA issues first guidance on AI in drug development
The FDA has provided direction on the use of AI for drug and biologic development. Here’s what life sciences teams should know.
The 2026 CMS TEAM model explained
Get the full scoop on the new CMS TEAM model, including what it is, why it matters, and how to ensure readiness.
The AHA and IMO Health on integrating AI into clinical workflows – seamlessly
The AHA speaks to Steven Rube, CMO of IMO Health, about how responsible AI can ease clinician burnout and improve decision-making at
How can ambient AI scribes capture clinical nuance?
Ambient intelligence tools are skilled at recording patient-provider encounters in real-time. But can they truly understand them?
Rethinking literature reviews with AI and clinical terminology
Pharma’s SLR workflows are slow, costly, and error-prone. See how AI and clinical terminology accelerate evidence generation with precision and trust.
Inside Cedars-Sinai’s push for smarter LOINC mapping
See how Cedars-Sinai streamlined lab data exchange and improved reporting accuracy through better LOINC mapping.
<< Previous
Page
1
Page
2
Page
3
Page
4
…
Page
51
Next >>
Products
Knowledge Graph
IMO Clinical AI
IMO Studio
[ POINT OF CARE WORKFLOW ]
Problem lists and documentation
IMO Core
Surgical scheduling and OR efficiency
IMO Core Periop
Procedure documentation and coding
IMO Core Procedure
IMO Core global
[ DATA QUALITY MANAGEMENT ]
Data standardization and NLP
IMO Precision Normalize
Value set management
IMO Precision Sets
IMO Health Platform
Solutions
Clinical trials
Data standardization
Denials management
Inaccurate coding
Risk adjustment
Systematic literature review
About Us
Our Story
Leadership
Our Experts
Careers
Partnerships
Resources
Resource Library
Case Studies
Webinars
Health IT 101s
Research
Events
Developer Portal
Schedule demo
IMO Studio Login