AIMC Topic: Systematic Reviews as Topic

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Machine learning for identifying relevant publications in updates of systematic reviews of diagnostic test studies.

Research synthesis methods
Updating systematic reviews is often a time-consuming process that involves a lot of human effort and is therefore not conducted as often as it should be. The aim of our research project was to explore the potential of machine learning methods to red...

Natural language processing was effective in assisting rapid title and abstract screening when updating systematic reviews.

Journal of clinical epidemiology
BACKGROUND AND OBJECTIVE: To examine whether the use of natural language processing (NLP) technology is effective in assisting rapid title and abstract screening when updating a systematic review.

Prediction of outcomes after acute kidney injury in hospitalised patients: protocol for a systematic review.

BMJ open
INTRODUCTION: Acute kidney injury (AKI) is common and is associated with negative long-term outcomes. Given the heterogeneity of the syndrome, the ability to predict outcomes of AKI may be beneficial towards effectively using resources and personalis...

Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews.

Systematic reviews
BACKGROUND: Despite existing research on text mining and machine learning for title and abstract screening, the role of machine learning within systematic literature reviews (SLRs) for health technology assessment (HTA) remains unclear given lack of ...

Statistical stopping criteria for automated screening in systematic reviews.

Systematic reviews
Active learning for systematic review screening promises to reduce the human effort required to identify relevant documents for a systematic review. Machines and humans work together, with humans providing training data, and the machine optimising th...

Decoding semi-automated title-abstract screening: findings from a convenience sample of reviews.

Systematic reviews
BACKGROUND: We evaluated the benefits and risks of using the Abstrackr machine learning (ML) tool to semi-automate title-abstract screening and explored whether Abstrackr's predictions varied by review or study-level characteristics.

Robot-Assisted Radical Cystectomy with Intracorporeal Urinary Diversion: A New Standard of Urinary Diversion.

Journal of endourology
To summarize the current evidence on robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion (ICUD) and compare perioperative outcomes and postoperative complications of patients undergoing RARC with extracorporeal urinary div...