Abstract Objective The goal is to provide an overview of artificial intelligence (AI) and machine learning (ML) methodology and appraisal tailored to clinicians and researchers in the headache field to facilitate interdisciplinary communications and research. Background The application of AI to the study of headache and other healthcare challenges is growing rapidly. It is critical that these findings be accurately interpreted by headache specialists, but this can be difficult for non‐AI specialists. Methods This paper is a narrative review of the fundamentals required to understand ML/AI headache research. Using guidance from key leaders in the field of headache medicine and AI, important references were reviewed and cited to provide a comprehensive overview of the terminology, methodology, applications, pitfalls, and bias of AI. Results We review how AI models are created, common model types, methods for evaluation, and examples of their application to headache medicine. We also highlight potential pitfalls relevant when consuming AI research, and discuss ethical issues of bias, privacy and abuse generated by AI. Additionally, we highlight recent related research from across headache‐related applications. Conclusion Many promising current and future applications of ML and AI exist in the field of headache medicine. Understanding the fundamentals of AI will allow readers to understand and critically appraise AI‐related research findings in their proper context. This paper will increase the reader's comfort in consuming AI/ML‐based research and will prepare them to think critically about related research developments.
Factors Associated With, and Mitigation Strategies for, Health Care Disparities Faced by Patients With Headache Disorders
Addressing the Crisis of Diagnosis and Management of Migraine in Primary Care: A Summary of the American Headache Society FrontLine Primary Care Advisory Board
Objective To outline strategies for the treatment of migraine which do not require in‐person visits to clinic or the emergency department, and to describe ways that health insurance companies can remove barriers to quality care for migraine. Background COVID‐19 is a global pandemic causing widespread infections and death. To control the spread of infection we are called to observe “social distancing” and we have been asked to postpone any procedures which are not essential. Since procedural therapies are a mainstay of headache care, the inability to do procedures could negatively affect our patients with migraine. In this manuscript we review alternative therapies, with particular attention to those which may be contra‐indicated in the setting of COVID‐19 infection. Design/Results The manuscript reviews the use of telemedicine visits and acute, bridge, and preventive therapies for migraine. We focus on evidence‐based treatment where possible, but also describe “real world” strategies which may be tried. In each section we call out areas where changes to rules from commercial health insurance companies would facilitate better migraine care. Conclusions Our common goal as health care providers is to maximize the health and safety of our patients. Successful management of migraine with avoidance of in‐person clinic and emergency department visits further benefits the current urgent societal goal of maintaining social distance to contain the COVID‐19 pandemic.
Ten Eleven Things Not to Say to Your Female Colleagues