Artificial intelligence technologies are revolutionizing medicine, ushering in advances in personalized medicine and diagnostic imaging. These machine-learning approaches are being mirrored by other technological advances which are moving surgical treatment forward as well. These emerging technologies have potential to impact all of otolaryngology, just as they are already impacting other areas of medicine. In laryngology in particular, recent advances include: computational neural networks aiding in identification and characterization of laryngeal lesions; computer-aided measures of vocal fold motion; artificial intelligence techniques applied to imaging analysis allowing for MRI diagnosis of laryngeal dystonia; potential for cooperative-control steady-hand robotic platforms to aid precision of microlaryngeal surgery; and additional evolutions in microlaryngeal surgery using force sensors attached to laryngoscopes to reduce operative complications and post-operative pain. These advances relate to nascent technologies – while none is in routine clinical practice at present, as these emerging technologies mature, they have the potential to change laryngology, both in the office and in the operating room. In order to inform otolaryngologists about the technological advances that will transform diagnostic and operative laryngology in the future, this panel will provide an overview of artificial intelligence approaches to medical innovation in general and then update participants about each of the individual topics mentioned above, taught by instructors who have participated in the studies that are helping to move the field forward.