AI Medical Compendium Topic

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Deep reinforcement learning for optimal experimental design in biology.

PLoS computational biology
The field of optimal experimental design uses mathematical techniques to determine experiments that are maximally informative from a given experimental setup. Here we apply a technique from artificial intelligence-reinforcement learning-to the optima...

Adaptive Deformation Control of a Flexible Variable-Length Rotary Crane Arm With Asymmetric Input-Output Constraints.

IEEE transactions on cybernetics
This article constructs two adaptive control laws to achieve deformation reduction and attitude tracking for a rotary variable-length crane arm with system parameter uncertainties and asymmetric input-output constraints. Two auxiliary systems are giv...

A Flexible Approach for Assessing Heterogeneity of Causal Treatment Effects on Patient Survival Using Large Datasets with Clustered Observations.

International journal of environmental research and public health
Personalized medicine requires an understanding of treatment effect heterogeneity. Evolving toward causal evidence for scenarios not studied in randomized trials necessitates a methodology using real-world evidence. Herein, we demonstrate a methodolo...

Emotion recognition while applying cosmetic cream using deep learning from EEG data; cross-subject analysis.

PloS one
We report a deep learning-based emotion recognition method using EEG data collected while applying cosmetic creams. Four creams with different textures were randomly applied, and they were divided into two classes, "like (positive)" and "dislike (neg...

Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis.

Radiology
Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in practice is critical. Clinical evaluation aims to confirm acceptable AI performance through adequate external testing and confirm the benefits of AI-assisted c...

Effectiveness of a Robot-Assisted Psychological Intervention for Children with Autism Spectrum Disorder.

Journal of autism and developmental disorders
Difficulties with social interaction characterise children with Autism Spectrum Disorders and have a negative impact in their everyday life. Integrating a social-humanoid robot within the standard clinical treatment has been proven promising. The mai...

Deep learning-based remote-photoplethysmography measurement from short-time facial video.

Physiological measurement
. Efficient non-contact heart rate (HR) measurement from facial video has received much attention in health monitoring. Past methods relied on prior knowledge and an unproven hypothesis to extract remote photoplethysmography (rPPG) signals, e.g. manu...

A novel deep learning-based method for COVID-19 pneumonia detection from CT images.

BMC medical informatics and decision making
BACKGROUND: The sensitivity of RT-PCR in diagnosing COVID-19 is only 60-70%, and chest CT plays an indispensable role in the auxiliary diagnosis of COVID-19 pneumonia, but the results of CT imaging are highly dependent on professional radiologists.

Objective performance metrics in human robotic neuroendovascular interventions: a scoping review protocol.

JBI evidence synthesis
OBJECTIVE: The objective of this scoping review is to review the available information on objective performance metrics used during robotic neuroendovascular intervention procedures on humans.

A Review on Rolling Bearing Fault Signal Detection Methods Based on Different Sensors.

Sensors (Basel, Switzerland)
As a precision mechanical component to reduce friction between components, the rolling bearing is widely used in many fields because of its slight friction loss, strong bearing capacity, high precision, low power consumption, and high mechanical effi...