Bibliographic record
Abstract
Whether by heuristically driven trial and error or by algorithmically defined mathematical certainty, the hackneyed expression “the future is now” is alive, and being fulfilled, in the field of implant dentistry/oral implantology. Examples abound. Three-dimensional (3D) printing has had an auspicious introduction in the medical profession with programs such as The First Bioprinting Event in Singapore in 2014. 3D printing in the practice of implant dentistry is especially noteworthy in the fabrication of surgical guides. To facilitate precise implant insertions, computer software based on computer tomography data of the anticipated site, of either the maxilla or the mandible, is seamlessly followed by 3D printing of a model and its digital successor…a surgical guide. Now, let us go back a couple of years to an article titled “Automated Dental Implantation Using Image-Guided Robotics: Registration Results.”1 The purpose section within the authors' abstract is worth quoting. It seems to be an extension of the 3D printing rationale. “One of the most important factors affecting the outcome of dental implantation is the accurate insertion of the implant into the patient's jaw bone, which requires a high degree of anatomical accuracy. With the accuracy and stability of robots, image-guided robotics is expected to provide more reliable and successful outcomes for dental implantation. Here, we proposed the use of a robot for drilling the implant site in preparation for the insertion of the implant.” Our continuing journey through biotechnology brings us to the shape-memory properties of SMPs. Dr. L'Hocine Yahia of the Polytechnique Montréal, whose expertise includes bioengineering and biosystems engineering, has described this emerging class of smart polymers. The sutures that are light-activated, thermally induced, and biodegradable enable wound healing that avoids tissue damage by being self-adjusting so as to have optimal tension without over-tightening. His book Shape Memory Polymers for Biomedical Applications2 is a classic…current, yet futuristic. Adding to our advances in technology is the invention by Dr. Assad Mora who has pioneered a new era in visualization technology. He has introduced MoraVision™ 3D system that is stereoscopic 3D video technology for viewing accurate 3D depth perception while the operator/clinician sits straight without having to bend to see what he/she is performing, either surgically or prosthetically, in the mouth. It is a powerful ergonomically positive that speaks to the avoidance of operator self-induced back and back-related ailments. Do the above technological advancements not make us think, in a rather tongue-in-cheek manner, of the creation of drive-through implant tooth replacements? Perish the thought. Fortunately for our patients, innovators, inventors, and researchers have ascended the technological ladder that is directly, or tangentially, related to implant dentistry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".