
How dentist Artem Kozhevnikov uses digital protocols to make complex implantation predictable and safe
According to the 2025 WiFiTalents Dental Trends report, 78% of dentists believe artificial intelligence will fundamentally transform diagnostics, while 70% see it as the primary tool for reducing clinical errors. Instead of abstract forecasts, these numbers reflect what clinicians encounter every day: patients come with increasingly complex cases, expectations for safety keep rising, and the margin for error keeps shrinking. Against this backdrop, digital protocols are no longer a technological novelty—they are becoming the baseline for responsible practice.
This very shift from “nice-to-have” to “must-have” was experienced first-hand by Artem Kozhevnikov, a clinician with more than twenty-three years of practice who has performed thousands of implant procedures, including the most challenging surgical cases. He began in the age of freehand techniques and 2D radiographs, yet today his Digital Implant Workflow and Visual Dentistry system is used by hundreds of colleagues across the United States and Russia, and the practical lesson his career offers is clear: digital tools aren’t about modernization — they’re about solving concrete clinical problems. In practice, they offer a new way to prevent complications and understand the likely outcome of treatment in advance. And Kozhevnikov has proven that through his own experience.
From Guesswork to Measurable Data
The move to digital was not a trend but a response to the limitations of conventional planning. Traditional approaches forced clinicians to estimate bone volume, implant trajectory, soft-tissue quality, and esthetic parameters by approximation—through 2D images and subjective experience. Even for seasoned doctors, a margin for error remained, and in complex cases that margin became clinically dangerous.
The first true breakthrough was cone-beam computed tomography (CBCT)—a 3D X-ray that reveals the entire jaw with all anatomical structures in real volume. Now the clinician can see the exact distance to the inferior alveolar nerve, to the sinus floor, bone density at every point, and the shape and thickness of the cortical plate. These are no longer assumptions; they are measurable data.“CBCT changed the entire logic of planning,” Kozhevnikov recalls. “For the first time, we could evaluate risks numerically instead of intuitively—and that immediately raised the safety bar.”
Yet one tool alone was not enough. CBCT was joined by intraoral scanning, 3D software modeling, and surgical guides. It is precisely this combination that delivers maximum accuracy: CBCT provides the anatomy, scanning captures the soft tissue and remaining teeth, modeling allows virtual placement of the future crown and reverse-engineering of the ideal implant position, and the surgical guide physically transfers that plan into the mouth. with minimal deviation. Kozhevnikov was among the early adopters of this full chain—years before it became a global standard—which eventually evolved into the Digital Implant Workflow he has been refining for over a decade.
How the Digital Implant Workflow Works in Practice
Everything begins with the final result. Planning follows the restoration-driven principle: the ideal crown or bridge is designed first, then the optimal implant position is calculated to support it. Only after that is the surgical guide fabricated. Drill deviation when using the guide typically does not exceed 0.5–1 mm.
In demanding situations—severe bone atrophy, esthetic zone, proximity to the sinus or mandibular canal, full-arch reconstructions, or revision cases—the guide turns a potentially dangerous procedure into a controlled one. A typical example: a patient with pronounced anterior maxillary atrophy. Conventional 2D imaging suggested that extensive bone augmentation and sinus lift were unavoidable. 3D modeling revealed that a narrow-diameter implant in a precisely calculated position would suffice. Surgery was minimally invasive, no grafting was required, healing was rapid, and the esthetic outcome was fully predictable.
Visual Dentistry—When the Patient Sees Exactly What the Doctor Sees
Alongside surgical precision, Kozhevnikov developed Visual Dentistry. Patients no longer merely hear explanations; they see everything with their own eyes: a 3D model of their jaw, before photos, simulated final result, and short videos of each stage.
“When a person sees the problem and the solution, they stop simply agreeing—they truly understand,” he says. Anxiety decreases, treatment acceptance and adherence rise, and refusals become markedly rarer. In practices where the system was implemented, repeat visits and patient referrals increased noticeably, while the time required to explain treatment plans decreased significantly.
For the team, Visual Dentistry has become a shared visual language: assistants and younger doctors grasp planning logic faster, quality control becomes objective, and communication errors virtually disappear.
Tested by American Standards
Relocating to the United States in 2023 and working under AGD and ADA standards proved both a challenge and a validation of Kozhevnikov’s digital approach. “I had to meet every regulatory requirement from scratch—OSHA, HIPAA, BLS, Infection Control, and the Florida Dental Radiology License,” he says. “But these certifications discipline your workflow: documentation becomes cleaner, imaging becomes more standardized, and accuracy requirements get much stricter.”
Each certification plays a specific role: OSHA governs workplace safety; HIPAA ensures strict confidentiality of digital records; BLS provides emergency preparedness; Infection Control mandates sterilization standards; and the radiology license authorizes independent operation of CBCT equipment. In a workflow built heavily on digital diagnostics, this regulatory foundation is crucial.
“In the U.S., standards for documentation, digital planning, and legal accountability are higher. This encourages stricter control of accuracy, photo protocols, diagnostic quality, and sterilization protocols. In Russia, by contrast, there is greater methodological flexibility, which forces clinicians to develop their own standards of precision,” Kozhevnikov explains.
Kozhevnikov also volunteers with the Florida Medical Reserve Corps and provides online consultations to colleagues. The digital protocol he brought with him proved fully compatible with American requirements—and in some aspects, stricter. Visual Dentistry was quickly recognized as a natural extension of patient-centered care.
From One Practice to Hundreds
AI is now embedded in daily workflow: automatic detection of anatomical risks on CBCT images, preliminary implant-position mapping, osseointegration forecasting, esthetic-proportion analysis, and partial automation of documentation. Kozhevnikov tests new modules.
Yet the value of AI lies not in replacing clinical judgment but in catching what the eye might miss. Rather than repeating the same tasks clinicians already perform, modern systems evaluate volumetric data, quantify risks, and highlight areas that deserve closer attention—effectively acting as a second layer of safety. As Kozhevnikov notes, the goal is not to delegate decisions but to eliminate preventable errors before they occur.
What began as a personal way to eliminate errors in a single clinic has evolved into a system Kozhevnikov has been teaching for over a decade. He has held dozens of masterclasses across the Europe (and earlier, Russia), consults on complex cases online, and regularly reviews CBCT scans in professional groups. As a result, elements of both Digital Implant Workflow and Visual Dentistry are now used in practices across the United States and Russia.
Colleagues report similar outcomes: fewer complications, greater predictability, and patients who no longer fear surgery. Fifteen years ago, Kozhevnikov was asked, “Why complicate a simple procedure?” Today, the question has reversed: “How can you work without guides and without showing the patient a 3D plan?”
Digital protocols and visual technologies are not promotional buzzwords; they are tools that improve safety and remove guesswork. And in a field where a millimeter can separate success from a complication, turning uncertainty into measurable data is not innovation—it is responsible medicine.
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