박정빈 교수
Jung Bin Park
서울대학교 · 의학
연구실 소개
박정빈 교수의 연구실은 안전하고 정밀한 수술 및 의료진의 의사결정 지원을 위한 지능형 의료 기술 개발에 초점을 맞추고 있습니다. 특히 수술 중 저산소증 예측, 수술 시간 예측, 내 endoscopy 기반의 병변 검출 향상 등 머신러닝과 생체신호 분석을 기반으로 한 실시간 임상 응용을 연구하고 있습니다. 또한 소아마취 및 유방암 방사선 치료 후 유방 합병증 관리 등 특정 환자군을 대상으로 한 정밀의료 전략 개발에도 기여하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15clinicaltrials.gov Identifier: NCT01908972.
Internet of Things(IoT) technology is an global infra that offers intellectual services combined with situation recognizing knowledge and communication between humans and objects and among objects, which has become core technology in hyper-connected society with its Cloud and big data technology. To connect objects, low range and low power communication technology was needed, therefore, RoLaWAN technology was developed. We suggest object tracking and managing system based on RoLaWAN technology.
The optimal compression position in patients with a single ventricle is approximately 5-25% of the lower sternum. The optimal compression level for patients with a single ventricle is lower than that suggested in current guidelines for the normal population.
Machine learning models can be used to predict upcoming intraoperative hypoxemia in real-time based on the biosignals acquired by patient monitors, which can be useful for clinicians for prediction and proactive treatment of hypoxemia in an intraoperative setting.
ENAD-assisted colonoscopy significantly improved the ADR, APC, and SSLDR in real-world clinical practice, particularly for smaller and nonpolypoid adenomas.
Optimizing operating room (OR) utilization is critical for enhancing hospital management and operational efficiency. Accurate surgical case duration predictions are essential for achieving this optimization. Our study aimed to refine the accuracy of these predictions beyond traditional estimation methods by developing Random Forest models tailored to specific surgical departments. Utilizing a comprehensive dataset, we applied several machine learning algorithms, including RandomForest, XGBoost,
In preschool children undergoing tonsillectomy, the preoperative application of a tulobuterol patch could decrease the occurrence of perioperative respiratory adverse events. Further studies are needed to elucidate the effect of the tulobuterol patch in a broad spectrum of pediatric anesthesia.
The European Society for Radiotherapy and Oncology-Advisory Committee in Radiation Oncology Practice (ESTRO-ACROP) updated a new target volume delineation guideline for postmastectomy radiotherapy (PMRT) after implant-based reconstruction. This study aimed to evaluate the impact on breast complications with the new guideline compared to the conventional guidelines. In total, 308 patients who underwent PMRT after tissue expander or permanent implant insertion from 2016 to 2021 were included; 184
In neonates and infants, modification of the ETT shape into a C-curve may reduce tube handling time compared to the conventional hockey stick-shaped tube during intubation using a C-MAC® video laryngoscope Miller blade.
Mean observed SBP 120 mmHg or less was associated with a lower incidence of future adverse outcomes in CAD patients with DES.
NCT05672212.
Ultrasound-guided SSCNB is an effective method for managing postoperative pain in children undergoing Hickman catheter or chemoport insertion, reducing the need for analgesics within 24 h after surgery.
Pediatric patients with the preoperative COVID-19 omicron variant had increased risk of PRAEs. Patients within 2 weeks after COVID-19 or those with symptoms had a higher risk of PRAEs.
The level of particulate matter on the day of surgery pose a risk of intra-operative hypoxaemia in children receiving general anaesthesia. If the concentrations of particulate matter 10 μm or less in diameter on the day of surgery are high, children receiving general anaesthesia should be managed with increased caution.
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