AIMC Topic: Program Development

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Framework for pediatric robotic surgery program development.

Seminars in pediatric surgery
Pediatric robotic surgery has seen increasing implementation for its many benefits over the past two decades. As more pediatric surgeons gain exposure to robotic surgery, the interest in utilizing this technology is growing. However, there are no gui...

Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.

JAMA network open
IMPORTANCE: Accurate identification of lymph node metastasis preoperatively and noninvasively in patients with cervical cancer can avoid unnecessary surgical intervention and benefit treatment planning.

Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.

European radiology
OBJECTIVE: The objective was to identify barriers and facilitators to the implementation of artificial intelligence (AI) applications in clinical radiology in The Netherlands.

Implementation of an Artificial Intelligence Algorithm for sepsis detection.

Revista brasileira de enfermagem
OBJECTIVES: to present the nurses' experience with technological tools to support the early identification of sepsis.

A randomized controlled trial of suicide prevention training for primary care providers: a study protocol.

BMC medical education
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is the 10th leading cause of death overall and the second leading cause of death among adolescents and young adults (15-34 years old). Research shows 80% o...

Knowledge into action - supporting the implementation of evidence into practice in Scotland.

Health information and libraries journal
BACKGROUND: The knowledge into action model for NHS Scotland provides a framework for librarians and health care staff to support getting evidence into practice. Central to this model is the development of a network of knowledge brokers to facilitate...

EHR based Genetic Testing Knowledge Base (iGTKB) Development.

BMC medical informatics and decision making
BACKGROUND: The gap between a large growing number of genetic tests and a suboptimal clinical workflow of incorporating these tests into regular clinical practice poses barriers to effective reliance on advanced genetic technologies to improve qualit...

An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing: A development and usability study.

Medicine
BACKGROUND: The classification of a respondent's opinions online into positive and negative classes using a minimal number of questions is gradually changing and helps turn techniques into practices. A survey incorporating convolutional neural networ...