임상 질문으로 논문 찾기
시술별 / 합병증별 의사결정 시나리오에 키워드 + 카테고리 핀을 미리 매핑해 둔 결과를 보여줍니다.
코성형 (Rhinoplasty)
비골·비중격 교정, 코끝 안정성, 재수술, 합병증
눈성형 (Blepharoplasty)
쌍꺼풀, 처진눈꺼풀, 안검하수, 재수술
유방성형 (Mammoplasty)
확대·축소·거상·재건·BIA-ALCL
동안 / 안티에이징
리프팅·필러·보톡스·실리프팅·레이저
체형성형 (Body Contouring)
지방흡입·복부성형·BBL·팔다리거상
공통 합병증
혈종·감염·괴사·흉터
딥러닝 / 영상분석
deep learning, convolutional neural network, image analysis
매칭된 논문: 254건 · fusion · 키워드 5개
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Random forest algorithm for predicting postoperative hypotension in oral cancer resection and free flap reconstruction surgery.
…vestigate the risk factors for low postoperative blood pressure and construct a machine learning (ML) model based on these features for real-time prediction in patients with or…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Advancements in microsurgery: A comprehensive systematic review of artificial intelligence applications.
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to lear…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Intraoperative circulation predict prolonged length of stay after head and neck free flap reconstruction: a retrospective study based on machine learning.
…ay after head and neck free flap reconstruction: a retrospective study based on machine learning.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Length of Stay Prediction Models for Oral Cancer Surgery: Machine Learning, Statistical and ACS-NSQIP.
Length of Stay Prediction Models for Oral Cancer Surgery: Machine Learning, Statistical and ACS-NSQIP.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Predicting reoperation and readmission for head and neck free flap patients using machine learning.
…edicting reoperation and readmission for head and neck free flap patients using machine learning.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Current Applications of Artificial Intelligence in Billing Practices and Clinical Plastic Surgery.
…artificial intelligence (AI), specifically with natural language processing and machine learning, holds tremendous potential to enhance both clinical practices and administrati…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
ARISE I Consensus Review on the Management of Intracranial Aneurysms.
…ection of unruptured IA radiographic images for the analysis and development of machine learning algorithms for rupture risk. The consensus supported centers of excellence for …
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Prediction of vascular complications in free flap reconstruction with machine learning.
Prediction of vascular complications in free flap reconstruction with machine learning.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Effect of machine learning-guided haemodynamic optimization on postoperative free flap perfusion in reconstructive maxillofacial surgery: A study protocol.
Effect of machine learning-guided haemodynamic optimization on postoperative free flap perfusion in recons…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
MRA for Preoperative Planning and Postoperative Management of Perforator Flap Surgeries: A Review.
…ssed. Additionally, we examine the emerging role of artificial intelligence and machine learning in improving the accuracy and efficiency of perforator flap MRA interpretation.…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Development and validation of a novel craniofacial statistical shape model for the virtual reconstruction of bilateral maxillary defects.
…rkflow for FFFR using statistical shape modeling (SSM) - a form of unsupervised machine learning - to virtually reconstruct premorbid anatomy in an automated, reproducible, and…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
A Machine Learning Approach to Predicting Donor Site Complications Following DIEP Flap Harvest.
A Machine Learning Approach to Predicting Donor Site Complications Following DIEP Flap Harvest.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Machine learning based outcome prediction of microsurgically treated unruptured intracranial aneurysms.
Machine learning based outcome prediction of microsurgically treated unruptured intracranial ane…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Reliability of Postoperative Free Flap Monitoring with a Novel Prediction Model Based on Supervised Machine Learning.
…perative Free Flap Monitoring with a Novel Prediction Model Based on Supervised Machine Learning.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Transforming breast reconstruction: the pioneering role of artificial intelligence in preoperative planning.
…equires specific expertise. The integration of artificial intelligence (AI) and machine learning (ML) algorithms in medical imaging has the potential to address these challenge…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
The Use of Machine Learning for Predicting Complications of Free Flap Head and Neck Reconstruction: Caution Needed.
The Use of Machine Learning for Predicting Complications of Free Flap Head and Neck Reconstruction: Caution…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery.
[PURPOSE] A fundamental problem in designing safe machine learning systems is identifying when samples presented to a deployed model differ from t…
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Predicting case difficulty in endodontic microsurgery using machine learning algorithms.
Predicting case difficulty in endodontic microsurgery using machine learning algorithms.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
The Use of Machine Learning for Predicting Complications of Free-Flap Head and Neck Reconstruction.
The Use of Machine Learning for Predicting Complications of Free-Flap Head and Neck Reconstruction.
임상질문: 딥러닝 / 영상분석 키워드: machine learning -
Artificial Intelligence Technologies in the Microsurgical Operating Room (Review).
…ical procedures", "dexterity", "microsurgery" AND "artificial intelligence" OR "machine learning" OR "neural networks". Articles in English and Russian were considered with no …
임상질문: 딥러닝 / 영상분석 키워드: machine learning