This corrects West J Emerg Med. 2019 March;20(2):291-304. Assessment of Physician Well-being, Part Two: Beyond Burnout Lall MD, Gaeta TJ, Chung AS, Chinai SA, Garg M, Husain A, Kanter C, Khandelwal S, Rublee CS, Tabatabai RR, Takayesu JK, Zaher M, Himelfarb NT. Erratum in West J Emerg Med. 2020 May;21(3):727. Author name misspellled. The sixth author, originally published as Abbas Hussain, MD is revised to Abbas Husain, MD. Abstract: Part One of this two-article series reviews assessment tools to measure burnout and other negative states. Physician well-being goes beyond merely the absence of burnout. Transient episodes of burnout are to be expected. Measuring burnout alone is shortsighted. Well-being includes being challenged, thriving, and achieving success in various aspects of personal and professional life. In this second part of the series, we identify and describe assessment tools related to wellness, quality of life, resilience, coping skills, and other positive states.
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http://dx.doi.org/10.5811/westjem.2020.3.47433 | DOI Listing |
World J Urol
December 2024
Department of Urology, Baldwin Park Medical Center, Kaiser Permanente, 1011 Baldwin Park Blvd., Baldwin Park, CA, 91706, USA.
Purpose: To evaluate the accuracy, comprehensiveness, empathetic tone, and patient preference for AI and urologist responses to patient messages concerning common BPH questions across phases of care.
Methods: Cross-sectional study evaluating responses to 20 BPH-related questions generated by 2 AI chatbots and 4 urologists in a simulated clinical messaging environment without direct patient interaction. Accuracy, completeness, and empathetic tone of responses assessed by experts using Likert scales, and preferences and perceptions of authorship (chatbot vs.
Tomography
December 2024
Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon 16499, Republic of Korea.
Background/objectives: Calculating the radiation dose from CT in F-PET/CT examinations poses a significant challenge. The objective of this study is to develop a deep learning-based automated program that standardizes the measurement of radiation doses.
Methods: The torso CT was segmented into six distinct regions using TotalSegmentator.
J Pers Med
December 2024
Department of Clinical Research, University of Southern Denmark, 5230 Odense, Denmark.
Artificial intelligence (AI) is becoming increasingly influential in ophthalmology, particularly through advancements in machine learning, deep learning, robotics, neural networks, and natural language processing (NLP). Among these, NLP-based chatbots are the most readily accessible and are driven by AI-based large language models (LLMs). These chatbots have facilitated new research avenues and have gained traction in both clinical and surgical applications in ophthalmology.
View Article and Find Full Text PDFGeriatrics (Basel)
November 2024
Department of Family Medicine, University of Alberta, Edmonton, AB T6G 2T4, Canada.
: Family physicians are essential to a well-functioning healthcare system; however, they face significant administrative and cognitive burdens that contribute to their burnout and reduce the quality of patient care they provide. Digital health tools offer potential solutions to these problems. This study examined the interface design and features of a digital health platform, Carmi, designed to mitigate administrative inefficiencies and cognitive overload by asynchronous patient data gathering and automated report generation.
View Article and Find Full Text PDFCurr Oncol
November 2024
Department of Medical Oncology and Hematology, Tom Baker Cancer Center, Calgary, AB T2N 4N2, Canada.
In the evaluation of a patient's primary hematologic malignancy, positron emission tomography/computed tomography (PET/CT) imaging may incidentally detect a concerning abnormality suggestive of a second concurrent cancer. Despite accounting for nearly 10% of all cancers diagnosed in Canada, there has yet to be a systematic review focused on the prevalence and significance of these incidental PET/CT findings in the context of primary hematologic malignancies. As such, a systematic search strategy was employed on MEDLINE and Embase to document the prevalence and clinical significance of incidental PET/CT findings suggestive of a second concurrent cancer detected in patients evaluated for their primary hematologic malignancy.
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