AI in Healthcare News and Updates
This month’s AI report includes news and updates from Profluent, Xsolis, Tempus, SnapCare, AxiomEHR, Ontrak Health, Together by Renee, DrFirst, Talkdesk, Andor Health, MedeAnalytics, & more!
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Putting the ‘Continuous’ in the Cardiac Care Continuum
By Stuart Long – Everyone knows someone affected by cardiac disease. Of course, we all recognize the risk factors: age, lifestyle, preexisting conditions… But a quick read through the AHA’s “Most Read Survivor Stories of 2023” tells a different story: that cardiac disease can strike swiftly and indiscriminately.
New AI Technologies are Advancing the Industry for Patients and Providers
By Branden Neish – Now after the initial AI boom, both patients and providers are starting to expect the integration of AI into everyday practice workflows and are excited about the host of incredible benefits generative AI can bring to the industry.
New Research Leverages AI/ML and Sensor Technologies
By Frank A. Fornari PhD – While physical activity, physical therapy, and structured exercise have long been considered effective treatments for Parkinson’s disease, their efficacy has been difficult to scientifically establish due to the inability to measure changes.
AI in Healthcare News and Updates
This month’s AI report includes news and updates from BEN, MedAdvisor Solutions, Odessa General Surgery, eClinicalWorks, Viz.ai, The SCAN Foundation, Dandelion Health, AXYS, F4CP, AION Labs, BioMedX, Azalea Health, Ontrak Health, ImagineSoftware, Maverick Medical AI, DeepScribe, Aideo Technologies, MedEvolve, & more.
Translational AI: A Necessity and Opportunity for Biomedical Informatics and Data Science
By William Hersh MD – How much of the hype for artificial intelligence that will truly impact health, healthcare, and research is an unknown. The potential benefits are unequivocal.
Making Healthcare AI more Actionable, Ethical, and Patient Accepted with the TRUSTED Framework
By Patrick Higley – The TRUSTED framework was developed to support health system leaders across a multitude of disciplines align on the most important elements of responsible AI development and deployment.
“The Point Solution Paradox” in Healthcare’s Adoption of AI
By Vince Kuraitis – AI adoption in healthcare is facing “The Point Solution Paradox”. This paradox highlights the intricate balance between the necessity of point solutions in the evolution of AI in healthcare and the challenges they pose in an already fragmented industry.
Clinical Decision Support and AI – The Black Box
By Jim Tate – It is time to talk about the role of AI in clinical decision support. There is a world of difference between evidence-based CDS and predictive-based CDS. Here are some key differences: