☆ 3.8 Proceedings Paper

Harnessing Biomedical Literature to Calibrate Clinicians' Trust in AI Decision Support Systems

PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2023) (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Psychiatry

Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center

Myriam Tanguay-Sela et al.

Summary: The study evaluated the perceived utility of the Aifred CDSS in aiding treatment decisions for major depressive disorder, with 60% of physicians finding it useful, especially family physicians. Half of the physicians would use the tool for all depression patients, while an additional 35% would reserve it for more severe or treatment-resistant cases. The CDSS was also found to be helpful in discussing treatment options with patients.

PSYCHIATRY RESEARCH (2022)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems

Cecilia Panigutti et al.

Summary: The field of eXplainable Artificial Intelligence (XAI) focuses on providing explanations for AI systems' decisions. XAI applications to AI-based Clinical Decision Support Systems (DSS) should increase trust in the DSS by allowing clinicians to investigate the reasons behind its suggestions. This paper presents the results of a user study that shows a significant impact of advice when an explanation for the DSS decision is provided.

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22) (2022)

添加到收藏夹

Proceedings Paper Computer Science, Information Systems

When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models

Amy Rechkemmer et al.

Summary: This study explores the trust in a machine learning model and how it is affected by different performance indicators. The level of model confidence and its stated and observed accuracy all influence people's trust and willingness to follow the model's predictions, especially after observing its actual performance.

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22) (2022)

添加到收藏夹

Review Computer Science, Hardware & Architecture

Documentation to facilitate communication between dataset creators and consumers

Timnit Gebru et al.

Summary: Data plays a critical role in machine learning, with mismatched datasets potentially leading to negative model behaviors and societal biases amplification. The World Economic Forum suggests documenting the origin, creation, and use of machine learning datasets to prevent discriminatory outcomes.

COMMUNICATIONS OF THE ACM (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer

Simon M. Thomas et al.

Summary: This study applies interpretable deep learning methods to analyze the most common skin cancers in a histological setting, demonstrating the potential for automatic machine analysis of dermatopathology work. By characterizing tissue into meaningful dermatological classes, the research aims to pave the way for future computer aided diagnosis systems with human interpretable outcomes.

MEDICAL IMAGE ANALYSIS (2021)

添加到收藏夹

Proceedings Paper Computer Science, Interdisciplinary Applications

Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens

Maia Jacobs et al.

Summary: Research investigated clinicians' perceptions of using DSTs in antidepressant treatment decisions and found that DSTs need to engage with the healthcare sociotechnical system. Results suggest that clinical DSTs should be designed as multi-user systems that support patient-provider collaboration and offer on-demand explanations to address discrepancies between predictions and current standards of care.

CHI '21: PROCEEDINGS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (2021)

添加到收藏夹

Article Oncology

Artificial Intelligence Clinical Evidence Engine for Automatic Identification Prioritization, and Extraction of Relevant Clinical Oncology Research

Fernando Suarez Saiz et al.

Summary: The system accurately extracts evidence from oncology literature through natural language processing and expert classifier model, providing critical support to evidence-based practice.

JCO CLINICAL CANCER INFORMATICS (2021)

添加到收藏夹

Article Biochemical Research Methods

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Jinhyuk Lee et al.

BIOINFORMATICS (2020)

添加到收藏夹

Review Computer Science, Information Systems

Clinical information seeking behavior of physicians: A systematic review

Azra Daei et al.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2020)

添加到收藏夹

Proceedings Paper Computer Science, Cybernetics

CheXplain: Enabling Physicians to Explore and Understand Data-Driven, AI-Enabled Medical Imaging Analysis

Yao Xie et al.

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20) (2020)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods

Model Cards for Model Reporting

Margaret Mitchell et al.

FAT*'19: PROCEEDINGS OF THE 2019 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2019)

添加到收藏夹

Proceedings Paper Computer Science, Software Engineering

Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions

Upol Ehsan et al.

PROCEEDINGS OF IUI 2019 (2019)

添加到收藏夹

Proceedings Paper Computer Science, Cybernetics

Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

Qian Yang et al.

CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (2019)

添加到收藏夹

Editorial Material Radiology, Nuclear Medicine & Medical Imaging

Why CAD Failed in Mammography

Ajay Kohli et al.

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2018)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help

Qian Yang et al.

34TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2016 (2016)

添加到收藏夹

Article Computer Science, Information Systems

Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

Feixiong Cheng et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2014)

添加到收藏夹

Article Medicine, General & Internal

Clinical Questions Raised by Clinicians at the Point of Care A Systematic Review

Guilherme Del Fiol et al.

JAMA INTERNAL MEDICINE (2014)

添加到收藏夹

Article Health Care Sciences & Services

Retrieving Clinical Evidence: A Comparison of PubMed and Google Scholar for Quick Clinical Searches

Salimah Z. Shariff et al.

JOURNAL OF MEDICAL INTERNET RESEARCH (2013)

添加到收藏夹

Review Rehabilitation

Evidence-based medicine: Revisiting the pyramid of priorities

Anthony L. Rosner

JOURNAL OF BODYWORK AND MOVEMENT THERAPIES (2012)

添加到收藏夹

Article Information Science & Library Science

Medical literature searches: a comparison of PubMed and Google Scholar

Eva Nourbakhsh et al.

HEALTH INFORMATION AND LIBRARIES JOURNAL (2012)

添加到收藏夹

Article Public, Environmental & Occupational Health

Barriers to Evidence-Based Decision Making in Public Health: A National Survey of Chronic Disease Practitioners

Julie A. Jacobs et al.

PUBLIC HEALTH REPORTS (2010)

添加到收藏夹

Article Computer Science, Cybernetics

The anatomy of prototypes: Prototypes as filters, prototypes as manifestations of design ideas

Youn-Kyung Lim et al.

ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION (2008)

添加到收藏夹

Article Biochemistry & Molecular Biology

Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses

Matthew E. Falagas et al.

FASEB JOURNAL (2008)

添加到收藏夹

Review Information Science & Library Science

Review for librarians of evidence-based practice in nursing and the allied health professions in the United States

Michael Kronenfeld et al.

JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION (2007)

添加到收藏夹

Article Computer Science, Information Systems

Answering physicians' clinical questions: Obstacles and potential solutions

JW Ely et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2005)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.