AIMC Topic: Automation

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Quro: Facilitating User Symptom Check Using a Personalised Chatbot-Oriented Dialogue System.

Studies in health technology and informatics
Automated conversational agents built with medical applications in mind, have the potential to reduce healthcare readmissions and improve accessibility to medical knowledge. In this work, we demonstrate the development and evaluation of an automated ...

Automatic Detection of Depression by Using a Neural Network.

Studies in health technology and informatics
Depression is the most common psychiatric disorder worldwide, which affects more than 300 million people. We aimed to detect depressed patients and healthy people automatically. We work on the PHQ-9 questionnaires and reduced it to a PHQ-5 questionna...

Automatic Annotation of French Medical Narratives with SNOMED CT Concepts.

Studies in health technology and informatics
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused. ...

An intelligent detecting system for permeability prediction of MBR.

Water science and technology : a journal of the International Association on Water Pollution Research
The membrane bioreactor (MBR) has been widely used to purify wastewater in wastewater treatment plants. However, a critical difficulty of the MBR is membrane fouling. To reduce membrane fouling, in this work, an intelligent detecting system is develo...

Redefining the Practice of Peer Review Through Intelligent Automation Part 2: Data-Driven Peer Review Selection and Assignment.

Journal of digital imaging
In conventional radiology peer review practice, a small number of exams (routinely 5% of the total volume) is randomly selected, which may significantly underestimate the true error rate within a given radiology practice. An alternative and preferabl...

Machine Learning Approaches in Cardiovascular Imaging.

Circulation. Cardiovascular imaging
Cardiovascular imaging technologies continue to increase in their capacity to capture and store large quantities of data. Modern computational methods, developed in the field of machine learning, offer new approaches to leveraging the growing volume ...