[This corrects the article DOI: 10.1371/journal.pone.0170744.].
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J Am Med Inform Assoc
January 2025
National Center for Tumor Diseases, University Cancer Center, NCT-UCC, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, 01307 Dresden, Germany.
Objective: This study evaluated the legibility, comprehension, and clinical usability of visual timelines for communicating cancer treatment paths. We examined how these visual aids enhance participants' and patients' understanding of their treatment plans.
Materials And Methods: The study included 2 online surveys and 1 in-person survey with hematology cancer patients.
Behav Sci (Basel)
December 2024
Institute of Education, Xiamen University, Xiamen 361005, China.
The authors would like to adjust the author order for the following two reasons: 1 [...
View Article and Find Full Text PDFJ Dent Educ
January 2025
Division of Oral and Maxillofacial Surgery and Dental Anesthesiology, The Ohio State University College of Dentistry, Columbus, Ohio, USA.
Purpose: Although females represent more than half of US dental students, less than 10% are practicing oral surgeons. This study sought to identify barriers and motivators perceived by female dental students in their D1 and D4 years concerning a career in oral and maxillofacial surgery (OMS).
Methods: This cross-sectional study used a single survey in 2023 sent to all US dental schools for female D1 and D4 students.
Afr J Reprod Health
December 2024
Midwifery Department, Faculty and Health Sciences, Karabük University, Turkey.
This study investigated the professional values of midwifery students and the factors influencing these values. Conducted from January 6 to March 6, 2021, it involved 715 midwifery students who participated voluntarily. Data was collected using a Descriptive Data Sheet and the Professional Values of Midwives Scale.
View Article and Find Full Text PDFEClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!