AI-generated text may have a role in evidence-based medicine.

vidence-based medicine (EBM) requires the retrieval and ranking of relevant evidence by epistemological strength, to identify the most appropriate evidence to inform guidelines and policies, with a preference for robust evidence from randomized clinical trials (RCTs), systematic reviews, and meta-analyses. The explosive growth of the scientific literature and the emergence of new sources of evidence, including social media, case reports, and large-scale observational studies, as well as the free-text nature of this large body of evidence, collectively make it difficult to appraise and select the best available evidence.

Informatics as Science.

The evolution of the informatics field, now with a well-accepted and crucial role in modern biomedicine and health care delivery, is the result of creative research over seven decades. The success is due in part to recognition that, throughout the process, investigators have documented not only what they have done but what they have learned, stimulating and guiding the next generation of projects. Such iterative experimentation, learning, sharing, and progressing is typical of all scientific disciplines.

Donald A.B. Lindberg, pioneer in biomedical and health informatics: His involvement in creating professional organizations.

Among the many contributions of Donald A.B. Lindberg was his work on behalf of a variety or professional organizations in the field of biomedical and health informatics.

Donald A.B. Lindberg and the U.S. National Library of Medicine transformed biomedical and health informatics.

This overview summary of the Informatics Section of the book illustrates how the NLM revolutionized the field of biomedical and health informatics during Lindberg's term as NLM Director. Authors present a before-and-after perspective of what changed, how it changed, and the impact of those changes.

A tribute to Karen Greenwood and her contributions to the American Medical Informatics Association.

After 25 years of service to the American Medical Informatics Association (AMIA), Ms Karen Greenwood, the Executive Vice President and Chief Operating Officer, is leaving the organization. In this perspective, we reflect on her accomplishments and her effect on the organization and the field of informatics nationally and globally. We also express our appreciation and gratitude for Ms Greenwood's role at AMIA.

Donald A.B. Lindberg, Pioneer in Biomedical and Health Informatics: His Involvement in Creating Professional Organizations.

Among the many contributions of Donald A.B. Lindberg was his work on behalf of a variety or professional organizations in the field of biomedical and health informatics.

Donald A.B. Lindberg and the U.S. National Library of Medicine Transformed Biomedical and Health Informatics.

This overview summary of the Informatics Section of the book Transforming biomedical informatics and health information access: Don Lindberg and the U.S. National Library of Medicine illustrates how the NLM revolutionized the field of biomedical and health informatics during Lindberg's term as NLM Director.

The roles of the US National Library of Medicine and Donald A.B. Lindberg in revolutionizing biomedical and health informatics.

Over a 31-year span as Director of the US National Library of Medicine (NLM), Donald A.B. Lindberg, MD, and his extraordinary NLM colleagues fundamentally changed the field of biomedical and health informatics-with a resulting impact on biomedicine that is much broader than its influence on any single subfield.

DISCARDED MEDICATIONS IN VIALS ARE A SYMPTOM OF OUR HEALTH CARE SYSTEM: A CALL TO ACTION.

No funding was received for the writing of this letter. All authors were members of the National Academies study committee to which this letter refers, with Shortliffe as the chair. All committee members who contributed to the report were themselves vetted for potential conflicts of interest, as is described in the recently published version of the report.

Effect of an Artificial Intelligence Clinical Decision Support System on Treatment Decisions for Complex Breast Cancer.

Purpose: To examine the impact of a clinical decision support system (CDSS) on breast cancer treatment decisions and adherence to National Comprehensive Cancer Center (NCCN) guidelines.

Patients And Methods: A cross-sectional observational study was conducted involving 1,977 patients at high risk for recurrent or metastatic breast cancer from the Chinese Society of Clinical Oncology. Ten oncologists provided blinded treatment recommendations for an average of 198 patients before and after viewing therapeutic options offered by the CDSS.

Artificial Intelligence Treatment Decision Support For Complex Breast Cancer Among Oncologists With Varying Expertise.

Purpose: The aim of the current study was to assess treatment concordance and adherence to National Comprehensive Cancer Network breast cancer treatment guidelines between oncologists and an artificial intelligence advisory tool.

Patients And Methods: Study cases of patients (N = 1,977) who were at high risk for recurrence or who had metastatic disease and cell types for which the advisory tool was trained were obtained from the Chinese Society for Clinical Oncology cancer database (2012 to 2017). A cross-sectional observational study was performed to examine treatment concordance and guideline adherence among an artificial intelligence advisory tool and 10 oncologists with varying expertise-three fellows, four attending physicians, and three chief physicians.

Artificial Intelligence in Medicine: Weighing the Accomplishments, Hype, and Promise.

Introduction: Artificial Intelligence in Medicine (AIM) research is now 50 years old, having made great progress that has tracked the corresponding evolution of computer science, hardware technology, communications, and biomedicine. Characterized as being in its "adolescence" at an international meeting in 1991, and as "coming of age" at another meeting in 2007, the AIM field is now more visible and influential than ever before, paralleling the enthusiasm and accomplishments of artificial intelligence (AI) more generally.

Objectives: This article summarizes some of that AIM history, providing an update on the status of the field as it enters its second half-century.

Overlaying multiple sources of data to identify bottlenecks in clinical workflow.

The pursuit of increased efficiency and quality of clinical care based on the analysis of workflow has seen the introduction of several modern technologies into medical environments. Electronic health records (EHRs) remain central to analysis of workflow, owing to their wide-ranging impact on clinical processes. The two most common interventions to facilitate EHR-related workflow analysis are automated location tracking using sensor-based technologies and EHR usage data logs.