AI Medical Compendium Topic:
Postoperative Complications

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Robot-assisted Kidney Autotransplantation: A Minimally Invasive Way to Salvage Kidneys.

European urology focus
BACKGROUND: Kidney autotransplantation (KAT) is the ultimate way to salvage kidneys with complex renovascular, ureteral, or malignant pathologies that are not amenable to in situ reconstruction. A minimally invasive approach could broaden its adoptio...

Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

Surgery
INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify surgical complications. We designed a natural language processing algorithm to identify and grade t...

Identification of Clinically Meaningful Plasma Transfusion Subgroups Using Unsupervised Random Forest Clustering.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Statistical techniques such as propensity score matching and instrumental variable are commonly employed to "simulate" randomization and adjust for measured confounders in comparative effectiveness research. Despite such adjustments, the results of t...

Mining Electronic Health Records to Extract Patient-Centered Outcomes Following Prostate Cancer Treatment.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The clinical, granular data in electronic health record (EHR) systems provide opportunities to improve patient care using informatics retrieval methods. However, it is well known that many methodological obstacles exist in accessing data within EHRs....

Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study.

BMJ open
INTRODUCTION: Mortality and morbidity following surgery are pressing public health concerns in the USA. Traditional prediction models for postoperative adverse outcomes demonstrate good discrimination at the population level, but the ability to forec...

Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy.

Journal of neurophysiology
The objective of this study was to introduce a new machine learning guided by outcome of resective epilepsy surgery defined as the presence/absence of seizures to improve data mining for interictal pathological activities in neocortical epilepsy. Ele...

Robotic versus laparoscopic radical hysterectomy in early cervical cancer: A case matched control study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: This study aims at evaluating the feasibility, surgical outcome and oncological results observed after robotic radical hysterectomy (RH) compared to laparoscopy for patients with early stage cervical cancer (ECC) patients.

Characteristics and clinical outcomes of living renal donors in Hong Kong.

Hong Kong medical journal = Xianggang yi xue za zhi
INTRODUCTION: In Asia, few reports are available on the outcomes for living renal donors. We report the short- and long-term clinical outcomes of individuals following living donor nephrectomy in Hong Kong.