Results 81 to 90 of about 825 (238)

Understanding and Mitigating Bias From Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley   +1 more source

Evaluating Correctness of Propositions Using the Web

, 2018
In this work, we contribute a method that takes advantage of the powerful corpus of the Web data to automatically evaluate the truth of propositions that are stated as multiargument instantiated predicates, e.g., City In Country (Beijing,China).
Manuela M. Veloso (5399312), Mehdi Samadi (5416673), Manuel Blum (5411618)   +2 more
core   +1 more source

Obstructive Sleep Apnea and BMI, Body Fat Percentage in the East Asian Population: A Bidirectional and Multivariate Mendelian Randomization Study

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To explore the causal relationship between obstructive sleep apnea and body fat percentage and body mass index (BMI) in the East Asian population by using bidirectional Mendelian randomization and multivariate Mendelian randomization.
Rui Fan, Wen‐Jun Lu, Hua Zhang, Hai‐Ling Jiang, Tao Li, Yan Yan   +5 more
wiley   +1 more source

Logic-driven Indirect Supervision: An Application to Crisis Counseling. [PDF]

Proc Conf Assoc Comput Linguist Meet, 2023
Grespan MM, Broadbent M, Zhang X, Axford KE, Kious B, Imel Z, Srikumar V.   +6 more
europepmc   +1 more source

Intelligent Advisor System for Prescriptive Maintenance of Engineered Assets Using Failure Modes, Effects and Criticality Analysis, Knowledge Graph and Machine Learning

Artificial Intelligence for Engineering, EarlyView.
This paper presents an intelligent advisor for prescriptive maintenance that integrates FMECA, machine learning, and knowledge graphs to support fault diagnosis and root‐cause analysis. Validated on a linear actuator, the framework enhances diagnostic interpretability and traceability, linking sensor‐level anomalies to transparent knowledge‐driven ...
Hongyi Lin, Agusmian Partogi Ompusunggu
wiley   +1 more source

quEHRy: a question answering system to query electronic health records. [PDF]

J Am Med Inform Assoc, 2023
Soni S, Datta S, Roberts K.
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Recognition of Spatiotemporal Feature Images of Zero‐Sequence Voltage for Single‐Phase High‐Impedance Ground Faults Under Complex Conditions

High Voltage, EarlyView.
ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li, Yijia Cao, Chun Chen, Weiyu Wang, Yansha Li, Jinglu Li   +5 more
wiley   +1 more source

Bayesian Inference Semantics for Natural Language

, 2023
In this chapter we present Bayesian Inference Semantics (BIS). This system assigns probability conditions to inferences, and it defines functions for the typed constituents of sentences that generate these conditions compositionally.
Lappin, S, Chatzikyriakidis, S, Blanck, R, Bernardy, J-P, Maskharashvili, A   +4 more
core  

Rethinking Interpretive Social Science From a Schutzian Perspective

Symbolic Interaction, EarlyView.
Ekkehard Coenen
wiley   +1 more source