ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model
The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-
4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with …
4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with …
Artificial intelligence in dentistry—A review
H Ding, J Wu, W Zhao, JP Matinlinna… - Frontiers in Dental …, 2023 - frontiersin.org
Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require
human intelligence. AI is not a new term, the concept of AI can be dated back to 1950 …
human intelligence. AI is not a new term, the concept of AI can be dated back to 1950 …
Multi-task deep learning for medical image computing and analysis: A review
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …
conventional deep learning models are constructed for a single specific task, multi-task deep …
Tooth automatic segmentation from CBCT images: a systematic review
Objectives To describe the current state of the art regarding technological advances in full-
automatic tooth segmentation approaches from 3D cone-beam computed tomography …
automatic tooth segmentation approaches from 3D cone-beam computed tomography …
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows screening,
follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation …
follow up, and diagnosis for breast tumor with high sensitivity. Accurate tumor segmentation …
Chatcad+: Towards a universal and reliable interactive cad using llms
The integration of Computer-Aided Diagnosis (CAD) with Large Language Models (LLMs)
presents a promising frontier in clinical applications, notably in automating diagnostic …
presents a promising frontier in clinical applications, notably in automating diagnostic …
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning
Accurate and automatic segmentation of individual tooth and root canal from cone-beam
computed tomography (CBCT) images is an essential but challenging step for dental …
computed tomography (CBCT) images is an essential but challenging step for dental …
[HTML][HTML] Deep learning-based segmentation of dental implants on cone-beam computed tomography images: A validation study
BM Elgarba, S Van Aelst, A Swaity, N Morgan… - Journal of Dentistry, 2023 - Elsevier
Objectives To train and validate a cloud-based convolutional neural network (CNN) model
for automated segmentation (AS) of dental implant and attached prosthetic crown on cone …
for automated segmentation (AS) of dental implant and attached prosthetic crown on cone …
[HTML][HTML] Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction
Summary High-fidelity three-dimensional (3D) models of tooth-bone structures are valuable
for virtual dental treatment planning; however, they require integrating data from cone-beam …
for virtual dental treatment planning; however, they require integrating data from cone-beam …
Synergy between artificial intelligence and precision medicine for computer-assisted oral and maxillofacial surgical planning
Objectives The aim of this review was to investigate the application of artificial intelligence
(AI) in maxillofacial computer-assisted surgical planning (CASP) workflows with the …
(AI) in maxillofacial computer-assisted surgical planning (CASP) workflows with the …