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AI helps assess patient's risk of regenerative outcomes after treatment of peri-implantitis

AI helps assess patients risk of regenerative outcomes after treatment of peri-implantitis Peri-implantitis, a condition where tissue and bone around dental implants becomes infected, besets roughly one-quarter of dental implant patients, and currently theres no reliable way to assess how patients will respond to treatment of this condition. To that end, a team led by the University of Michigan School of Dentistry developed a machine learning algorithm, a form of artificial intelligence, to ass...
United States Jeff Wang William Giannobile Emily Henderson University Of Michigan School Dentistry Harvard School Of Dental Medicine

AI helps predict treatment outcomes for patients with diseased dental implants

 E-Mail Peri-implantitis, a condition where tissue and bone around dental implants becomes infected, besets roughly one-quarter of dental implant patients, and currently theres no reliable way to assess how patients will respond to treatment of this condition. To that end, a team led by the University of Michigan School of Dentistry developed a machine learning algorithm, a form of artificial intelligence, to assess an individual patients risk of regenerative outcomes after surgical treatments...
Michigan State University United States Jeff Wang William Giannobile Yuying Xie University Of Michigan School Dentistry

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