Written by Dimitris Kounatidis
Published on Vol 5 Issue 2, 2025
Large Language Models (LLMs) represent advanced artificial-intelligence (AI) tools capable of processing massive textual datasets and producing language that resembles human expression. Their emergence suggests new possibilities for retrieving clinically relevant knowledge within healthcare. This investigation sought to measure and compare how four separate LLMs responded to practical questions on the management and therapy of periodontal furcation defects, assessing the degree to which their an
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Written by Roberto Lozano
Published on Vol 5 Issue 2, 2025
Contemporary dental practice increasingly focuses on minimally invasive treatments as a primary therapeutic objective. Selecting appropriate cases for immediate implant placement can significantly shorten treatment duration, lower financial expenditure, and enhance overall patient satisfaction. A systematic literature search was performed in March 2025 across Medline, PubMed, and Web of Science databases, with no time limits applied. Additional manual screening was conducted to retrieve suppleme
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Written by Hanadi Suhail
Published on Vol 5 Issue 2, 2025
Artificial Intelligence (AI) is rapidly reshaping orthodontic practice by delivering customized treatment strategies that enhance both precision and workflow efficiency. This narrative review examines how AI is currently applied in orthodontics, emphasizing its contributions to predicting dental movement, developing patient-specific aligners, shortening treatment duration, and supporting real-time progress tracking. By processing extensive datasets composed of dental images, radiographs, and 3D
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Written by Janovskiene Audra
Published on Vol 5 Issue 2, 2025
The evolution of orthognathic surgery through digital innovations has greatly enhanced precision and predictability. Traditional free-hand techniques depend heavily on the surgeon’s skill, often producing inconsistent outcomes. Fully guided systems merge computer-assisted technologies—such as virtual surgical planning (VSP), CAD/CAM fabrication, and dynamic navigation—to improve accuracy and workflow efficiency. This review contrasts these methods and evaluates their effects on surgical accuracy
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Written by Jianjun Mao
Published on Vol 5 Issue 2, 2025
Precise implant impressions are essential for accurately reproducing the three-dimensional (3D) orientation of implants. Digital protocols using intraoral scanners (IOSs) and scan bodies provide significant benefits over traditional elastomeric approaches. Nevertheless, the geometry of scan bodies can influence the accuracy and fidelity of IOS-derived data, and the ideal design parameters are not yet established. This systematic review aims to analyze how variations in scan body geometry affect
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Written by Ibrahim Bora Oran
Published on Vol 5 Issue 2, 2025
Nickel-based orthodontic archwires—particularly those composed of nickel-titanium (NiTi) and stainless steel (SS)—are essential components in fixed orthodontic systems due to their favorable mechanical performance. Nonetheless, apprehensions persist regarding nickel-related hypersensitivity, cytotoxicity, and ion emission. This narrative review investigates current evidence concerning nickel ion release from orthodontic materials, expanding on earlier systematic reviews by assessing both in vitr
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Written by Hend Elshoubashy
Published on Vol 5 Issue 2, 2025
This research investigated, under in vitro conditions, the protective capability of two enamel-repairing formulations: a varnish composed of β-tricalcium phosphate combined with sodium fluoride (β-TCP-F), and a paste containing casein phosphopeptide–amorphous calcium phosphate supplemented with sodium fluoride (CPP-ACP-F). Enamel samples (n = 120) obtained from extracted human third molars were divided into four experimental sets (30 specimens per group): Group I—sound enamel (control), Group II
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Written by Anand Venugopal
Published on Vol 5 Issue 2, 2025
This research aimed to investigate how surface finishing techniques impact the color stability, gloss, roughness, and wettability of monolithic polychromatic MJT 3D-printed denture resins. A total of 21 color variants of the same denture resin (TrueDent; Stratasys, Eden, MN, USA) were processed under two surface protocols—either polishing alone or polishing followed by glazing—yielding 42 groups and 420 specimens (n = 10 per group). Fabrication was performed using a PolyJet MJT 3D printer (J5 De
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