AIMC Topic: Humans

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Finding the sweet spot: a qualitative study exploring patients' acceptability of chatbots in genetic service delivery.

Human genetics
Chatbots, web-based artificial intelligence tools that simulate human conversation, are increasingly in use to support many areas of genomic medicine. However, patient preferences towards using chatbots across the range of clinical settings are unkno...

A tree-based modeling approach for matched case-control studies.

Statistics in medicine
Conditional logistic regression (CLR) is the indisputable standard method for the analysis of matched case-control studies. However, CLR is strongly restricted with respect to the inclusion of non-linear effects and interactions of confounding variab...

[Interdisciplinary case discussions].

Radiologie (Heidelberg, Germany)
BACKGROUND: Interdisciplinary case discussions, especially tumor conferences, represent a large part of the clinical radiologist's daily work. Radiology plays a key role in tumor conferences, since imaging findings have a direct influence on therapy ...

High-performance and low-power source-gated transistors enabled by a solution-processed metal oxide homojunction.

Proceedings of the National Academy of Sciences of the United States of America
Cost-effective fabrication of mechanically flexible low-power electronics is important for emerging applications including wearable electronics, artificial intelligence, and the Internet of Things. Here, solution-processed source-gated transistors (S...

Decision Method of Optimal Needle Insertion Angle for Dorsal Hand Intravenous Robot.

Sensors (Basel, Switzerland)
In the context of COVID-19, the research on various aspects of the venipuncture robot field has become increasingly hot, but there has been little research on robotic needle insertion angles, primarily performed at a rough angle. This will increase t...

Large-Scale Tactile Detection System Based on Supervised Learning for Service Robots Human Interaction.

Sensors (Basel, Switzerland)
In this work, a large-scale tactile detection system is proposed, whose development is based on a soft structure using Machine Learning and Computer Vision algorithms to map the surface of a forearm sleeve. The current application has a cylindrical d...

Assessing the learning curve of robot-assisted total mesorectal excision: a multicenter study considering procedural safety, pathological safety, and efficiency.

International journal of colorectal disease
PURPOSE: Evidence regarding the learning curve of robot-assisted total mesorectal excision is scarce and of low quality. Case-mix is mostly not taken into account, and learning curves are based on operative time, while preferably clinical outcomes an...

Using early health economic modeling to inform medical innovation development: a soft robotic sock in poststroke patients in Singapore.

International journal of technology assessment in health care
OBJECTIVES: Based on a real-world collaboration with innovators in applying early health economic modeling, we aimed to offer practical steps that health technology assessment (HTA) researchers and innovators can follow and promote the usage of early...

Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke.

PloS one
INTRODUCTION: Artificial intelligence (AI) has the potential to transform clinical decision-making as we know it. Powered by sophisticated machine learning algorithms, clinical decision support systems (CDSS) can generate unprecedented amounts of pre...