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User Outcomes for an App-Delivered Hypnosis Intervention for Menopausal Hot Flashes: Retrospective Analysis.
JMIR Form Res
January 2025
Mind-Body Medicine Lab, Department of Psychology and Neuroscience, Baylor University, Waco, TX, United States.
Background: Hypnotherapy has been shown to be a safe, nonhormonal intervention effective for treating menopausal hot flashes. However, women experiencing hot flashes may face accessibility barriers to in-person hypnotherapy. To solve this issue, a smartphone app has been created to deliver hypnotherapy.
View Article and Find Full Text PDFArtificial Doctors: Performance of Chatbots as a Tool for Patient Education on Keratoconus.
Eye Contact Lens
December 2024
Department of Ophthalmology (Z.O.O.), Gaziantep State Hospital, Gaziantep, Turkey; Department of Ophthalmology (L.D.), Niğde Ömer Halisdemir University, Niğde, Turkey; and Department of Ophthalmology (I.E.Y.), Gaziantep Dr. Ersin Arslan Training and Research Hospital, Gaziantep, Turkey.
Purpose: We aimed to compare the answers given by ChatGPT, Bard, and Copilot and that obtained from the American Academy of Ophthalmology (AAO) website to patient-written questions related to keratoconus in terms of accuracy, understandability, actionability, and readability to find out whether chatbots can be used in patient education.
Methods: Twenty patient-written questions obtained from the AAO website related to keratoconus were asked to ChatGPT, Bard, and Copilot. Two ophthalmologists independently assessed the answers obtained from chatbots and the AAO website in terms of accuracy, understandability, and actionability according to the Structure of Observed Learning Outcome taxonomy, Patient Education Materials Assessment Tool-Understandability, and Patient Education Materials Assessment Tool-Actionability tests, respectively.
Anti-Apartheid at the periphery: a case study of grassroots activism in Dundee, 1967-1990.
Mod Br Hist
January 2025
International Studies Group, University of the Free State, Bloemfontein, Free State, South Africa.
The histories of the global anti-apartheid struggle, and particularly the British Anti-Apartheid Movement (AAM), have predominantly been examined through a transnational and national prism, creating an inaccurate impression of a highly centralized and homogeneous movement. We argue, however, that refining the analysis to focus on the local setting reveals a more complex and diverse movement, which has not been fully captured in the existing scholarship. Using Dundee as a case study, this article charts the emergence, character, and evolution of anti-apartheid sentiment and activity in this small, peripheral industrial Scottish city.
View Article and Find Full Text PDFFalse-Negative Review from the Mammography Audit: Refining Breast Imaging Practice.
Radiographics
February 2025
From the Washington University School of Medicine, Mallinckrodt Institute of Radiology, 510 S Kingshighway Blvd, St. Louis, MO 63110.
Annual review of false-negative (FN) mammograms is a mandatory and critical component of the Mammography Quality Standards Act (MQSA) annual mammography audit. FN review can help hone reading skills and improve the ability to detect cancers at mammography. Subtle architectural distortion, asymmetries (seen only on one view), small lesions, lesions with probably benign appearance (circumscribed regular borders), isolated microcalcifications, and skin thickening are the most common mammographic findings when the malignancy is visible at retrospective review of FN mammograms.
View Article and Find Full Text PDFFrequency and predictability effects for line-final words.
J Exp Psychol Hum Percept Perform
January 2025
Faculty of Science & Technology, Department of Psychology, Bournemouth University.
Computational models of eye movement control during reading have revolutionized the study of visual, perceptual, and linguistic processes underlying reading. However, these models can only simulate and test predictions about the reading of single lines of text. Here we report two studies that examined how input variables for lexical processing (frequency and predictability) in these models influence the processing of line-final words.
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