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Ryan N. Phelan

Reporter · US

Indexed articles, last 90 days
3
Latest publication
Sep 30, 2026
Outlet visibility, for Mondaq
Top 500K sites
Earliest in this view
Jul 16, 2026

Latest articles

  1. Article · Sep 30, 2026 · Ryan N. Phelan

    Federal Circuit Finds AI-Based Dental Monitoring Patent Claims Ineligible Under Section 101 (opens the original)

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    Applying artificial intelligence to a specialized field does not necessarily make an invention patent eligible. Marshall Gerstein Partner Ryan Phelan looks at this important distinction in his latest contribution to IPO Daily News, a members-only newsletter published by the Intellectual Property Owners Association. Ryan discusses the Federal Circuit’s recent decision in Dental Monitoring SAS v. Align Technology, Inc., which found several AI-based dental monitoring patent claims ineligible under

  2. Article · Sep 10, 2026 · Ryan N. Phelan

    “WIPO Reports GenAI Patent Activity Nearly Tripled In Two Years” (opens the original)

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    Companies developing and deploying generative artificial intelligence technologies are facing a rapidly evolving patent landscape. In a recent AI Insights feature for the Intellectual Property Owners Association (IPO) Daily News, Marshall Gerstein Partner Ryan Phelan examines findings from the World Intellectual Property Organization's (WIPO) latest Technology SPARK Report and discusses what they may mean for businesses operating in the GenAI space. "The report suggests that businesses should tr

  3. Article · Jul 16, 2026 · Ryan N. Phelan

    Patenting Strategies For Artificial Intelligence In The Autonomous Vehicle Space (opens the original)

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    Autonomous vehicle technology presents one of the most demanding environments for artificial intelligence. Unlike purely informational AI applications, autonomous vehicle systems must perceive the physical world, interpret uncertain sensor signals, make decisions under time constraints, and cause vehicle hardware to respond safely. A perception model may classify objects from camera, radar, LiDAR, ultrasonic, GPS, inertial, or vehicle-network data. A prediction model may estimate future trajecto

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