Nora Mercer is Digital Dentistry & Dental Technology Editor at The Young Dentist, covering dental AI, imaging, intraoral scanning, CAD/CAM, 3D printing and connected clinical workflows. She focuses on what technologies actually change in practice and separates independent evidence from technical specifications, clinician experience and manufacturer claims.
Nora Mercer was born in Albuquerque, New Mexico, and developed an early interest in the point where healthcare, technology and practical problem-solving meet. Her professional profile includes dental education at the University of Michigan School of Dentistry, where the Doctor of Dental Surgery curriculum provided a foundation in biomedical sciences, oral disease, diagnosis, prevention, treatment planning and comprehensive patient care. During her training, she became particularly interested in restorative dentistry, dental imaging and the first stages of the digital workflow, where clinical information moves from the patient to imaging systems, scanners, planning software and eventually into treatment.
After dental school, Nora’s career path included work in general dental practices in Michigan, where she gained experience with restorative care, preventive dentistry, treatment planning and the everyday management of patients whose needs rarely fit a perfectly controlled clinical demonstration. That environment shaped the way she later approached dental technology. A scanner could perform impressively under ideal conditions but still create difficulties with moisture, access or complex preparations; software could automate part of a workflow while adding training or integration problems elsewhere; and a technically accurate digital model did not automatically guarantee a better clinical result.
As digital tools became increasingly common in practice, Nora became involved with intraoral scanning, digital impressions, computer-assisted restorative workflows and digital treatment planning. She was particularly interested in what happened after a device left the manufacturer’s demonstration environment and entered an ordinary dental surgery. Her questions increasingly focused on practical outcomes: whether a system reduced clinically meaningful errors, whether it improved communication with patients or laboratories, whether it saved genuine chair time and whether the benefits remained after training, maintenance and software costs were considered.
From clinical practice to dental technology
Nora’s interest gradually expanded from using individual digital tools to understanding the wider systems connecting imaging, diagnosis, treatment planning and manufacturing. She began following developments in CAD/CAM dentistry, digital radiography, cone-beam imaging, chairside restorative systems and implant-planning software, later extending that work into dental 3D printing, remote monitoring, cloud-based practice platforms and artificial intelligence.
Her professional path also includes work with dental technology education and healthcare publishing projects. That experience gave her a closer view of how new technologies are presented to clinicians and how easily different kinds of information can become blurred together. Technical specifications describe what a product is designed to do. Manufacturer studies may demonstrate performance under particular conditions. Individual clinicians can provide valuable experience with usability and workflow. Independent research asks another set of questions entirely. Nora’s editorial approach developed around keeping those sources separate rather than allowing them to merge into a single narrative of technological progress.
This became particularly important as artificial intelligence entered dental imaging and diagnostic workflows. Nora does not treat AI as inherently revolutionary or inherently unreliable. Instead, she examines the specific task a system is intended to perform, the data on which it was developed or evaluated, the consequences of false-positive and false-negative results and the role that remains with the clinician. She is interested in whether an AI tool changes diagnostic confidence or workflow in a meaningful way rather than simply adding another layer of information to an already complex clinical decision.
Digital Dentistry at The Young Dentist
At The Young Dentist, Nora covers technologies that influence how dental professionals collect information, interpret findings, plan treatment and deliver care. Her core areas include artificial intelligence in dentistry, dental imaging, intraoral scanning, digital impressions, CAD/CAM, chairside restorative workflows, dental 3D printing, digital implant planning, remote monitoring, digital records and practice software.
Her work also follows the product ecosystems and companies behind these technologies. This may include developments involving Dentsply Sirona, Straumann, Align Technology, 3Shape, Planmeca, Medit, Carestream Dental, Overjet, Pearl, SprintRay, exocad, iTero, CEREC and other platforms relevant to contemporary dental workflows. Manufacturer information is useful for establishing specifications, product changes and intended uses, but Nora does not treat commercial material as equivalent to independent clinical evidence.
She is particularly interested in technologies that claim to change clinical decisions rather than simply replace an analogue process with a digital one. AI-assisted radiographic interpretation, remote orthodontic monitoring and digital implant planning are examples where software can potentially influence diagnosis or treatment decisions as well as administrative efficiency. In these areas, she examines not only reported performance but also limitations, workflow dependencies, clinician oversight and the practical consequences if the technology produces an incorrect or incomplete result.
Nora also looks closely at implementation. The purchase price of a scanner, printer or software platform is rarely the whole cost of adoption. Practices may face subscriptions, training, equipment upgrades, maintenance, data migration and integration with existing systems. A device that performs one task extremely well can still create additional work if it cannot communicate effectively with the other software already used by a dental practice or laboratory.
Editorial perspective
Nora’s editorial approach is practical, evidence-focused and sceptical of innovation presented as an end in itself. Her starting question is usually straightforward: what problem does this technology actually solve? From there, she considers what the previous workflow required, what the new system changes, how those differences have been measured and whether the improvement is large enough to matter in real clinical practice.
She pays close attention to the source behind every important claim. Technical specifications, manufacturer testing, clinician experience, regulatory information and independent clinical research can all contribute useful information, but they answer different questions and should not be presented as interchangeable evidence. This distinction is particularly important for technologies that influence diagnosis, treatment recommendations or patient safety.
Nora also takes a cautious approach to precision. Digital dentistry can produce highly detailed images, measurements and models, but a precise-looking output is only as reliable as the information and assumptions behind it. A three-dimensional model may look authoritative while still depending on scan quality. An algorithm can produce a numerical score without eliminating clinical uncertainty. Automation can support clinicians without removing their responsibility to interpret the result in the context of the individual patient.
Across her work for The Young Dentist, Nora aims to give clinicians and informed readers enough context to distinguish meaningful technological progress from incremental upgrades and marketing language that has moved faster than the evidence. Rather than asking simply whether a system is newer, faster or more digital, she focuses on whether it improves diagnosis, treatment, communication or workflow in a way that is relevant enough to justify changing established practice.
Digital dentistryThe use of digital and computer-controlled technologies in dental diagnosis, treatment planning, restorative workflows, manufacturing and clinical care.
Dental AIThe application of artificial intelligence and machine-learning techniques to oral-health data for tasks such as imaging analysis, diagnosis support, treatment planning, patient communication and practice workflows.
CAD/CAM dentistryThe use of computer-aided design and manufacturing systems to design and produce dental restorations, prostheses and other components within digital laboratory and chairside workflows.
