AIMC Topic: London

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Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views.

Annals of family medicine May 27, 2025
PURPOSE: Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients...
England Qualitative Research Attitude of Health Personnel Male Middle Aged Workload London Focus Groups Interviews as Topic Primary Health Care Humans Artificial Intelligence Aged Adult Female
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Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model.

Annals of surgery Dec 1, 2021
OBJECTIVE: The aim of this study was to develop and validate a risk prediction tool for trauma-induced coagulopathy (TIC), to support early therapeutic decision-making.
Aged, 80 and over Adult Male Female Aged Adolescent Predictive Value of Tests Bayes Theorem Middle Aged Risk Assessment Prospective Studies Clinical Decision-Making Humans Wounds and Injuries London Trauma Severity Indices Supervised Machine Learning Blood Coagulation Disorders
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Using Natural Language Processing on Electronic Health Records to Enhance Detection and Prediction of Psychosis Risk.

Schizophrenia bulletin Mar 16, 2021
BACKGROUND: Using novel data mining methods such as natural language processing (NLP) on electronic health records (EHRs) for screening and detecting individuals at risk for psychosis.
Psychotic Disorders London Models, Statistical Natural Language Processing Adolescent Follow-Up Studies Young Adult Humans Retrospective Studies Adult Electronic Health Records Middle Aged Male Female Risk Assessment
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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Feb 1, 2018
In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in España [MADR-E]). The aim is to ...
Area Under Curve Liver Transplantation Liver Diseases Donor Selection Waiting Lists Tissue Donors Computer Simulation Male Risk Factors Graft Survival Humans Female Middle Aged Time Factors Adult London Treatment Outcome Risk Assessment Reproducibility of Results ROC Curve Neural Networks, Computer Algorithms Decision Support Techniques
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Google reveals secret test of AI bot to beat top Go players.

Nature Jan 4, 2017
Competitive Behavior Games, Experimental Internet Games, Recreational Artificial Intelligence London Software
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