AIMC Topic: Diagnostic Techniques and Procedures
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Patients' Preferences for Artificial Intelligence Applications Versus Clinicians in Disease Diagnosis During the SARS-CoV-2 Pandemic in China: Discrete Choice Experiment.
Journal of medical Internet research
Feb 23, 2021
BACKGROUND: Misdiagnosis, arbitrary charges, annoying queues, and clinic waiting times among others are long-standing phenomena in the medical industry across the world. These factors can contribute to patient anxiety about misdiagnosis by clinicians...
Adult
Male
Middle Aged
China
Surveys and Questionnaires
SARS-CoV-2
Aged
Aged, 80 and over
Young Adult
Health Expenditures
Diagnosis
Patient Preference
Choice Behavior
Diagnostic Techniques and Procedures
Latent Class Analysis
Adolescent
Time Factors
Logistic Models
Humans
COVID-19
Physicians
Female
Artificial Intelligence
Pandemics
Predicting preventable hospital readmissions with causal machine learning.
Health services research
Oct 30, 2020
OBJECTIVE: To assess both the feasibility and potential impact of predicting preventable hospital readmissions using causal machine learning applied to data from the implementation of a readmissions prevention intervention (the Transitions Program).
Humans
Machine Learning
Retrospective Studies
Male
Middle Aged
Risk Assessment
Severity of Illness Index
Health Status
Electronic Health Records
Female
Risk Factors
Aged
Diagnostic Techniques and Procedures
Age Factors
Continuity of Patient Care
Sex Factors
Patient Readmission
Health Services Research
Closing the translation gap: AI applications in digital pathology.
Biochimica et biophysica acta. Reviews on cancer
Oct 13, 2020
Recent advances in artificial intelligence show tremendous promise to improve the accuracy, reproducibility, and availability of medical diagnostics across a number of medical subspecialities. This is especially true in the field of digital pathology...
Artificial intelligence in health care: preparing for the fifth Industrial Revolution.
The Medical journal of Australia
Sep 6, 2020
Personalized machine learning approach to predict candidemia in medical wards.
Infection
Aug 1, 2020
PURPOSE: Candidemia is a highly lethal infection; several scores have been developed to assist the diagnosis process and recently different models have been proposed. Aim of this work was to assess predictive performance of a Random Forest (RF) algor...
Trust in artificial intelligence for medical diagnoses.
Progress in brain research
Jul 2, 2020
We present two online experiments investigating trust in artificial intelligence (AI) as a primary and secondary medical diagnosis tool and one experiment testing two methods to increase trust in AI. Participants in Experiment 1 read hypothetical sce...
Disease prediction via Bayesian hyperparameter optimization and ensemble learning.
BMC research notes
Apr 10, 2020
OBJECTIVE: Early disease screening and diagnosis are important for improving patient survival. Thus, identifying early predictive features of disease is necessary. This paper presents a comprehensive comparative analysis of different Machine Learning...
Initial classification of low back and leg pain based on objective functional testing: a pilot study of machine learning applied to diagnostics.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Feb 18, 2020
OBJECTIVE: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective functional impairment and thus provided an adjunctive dimension in patient assessment. The clinical interpretability and confounders of the 5R-STS remain poor...
[Do artificial intelligence systems reason in the same way as clinicians when making diagnoses?].
La Revue de medecine interne
Jan 25, 2020
Clinical reasoning is at the heart of physicians' competence, as it allows them to make diagnoses. However, diagnostic errors are common, due to the existence of reasoning biases. Artificial intelligence is undergoing unprecedented development in thi...
Automatically determining cause of death from verbal autopsy narratives.
BMC medical informatics and decision making
Jul 9, 2019
BACKGROUND: A verbal autopsy (VA) is a post-hoc written interview report of the symptoms preceding a person's death in cases where no official cause of death (CoD) was determined by a physician. Current leading automated VA coding methods primarily u...
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