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EEG-derived brainwave patterns for depression diagnosis via hybrid machine learning and deep learning frameworks.
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFConcepts of Suffering at the End of Life Amongst Emergency, Palliative Care and Geriatric Medicine Physicians in Malaysia.
Am J Hosp Palliat Care
January 2025
Division of Cancer Education, National Cancer Centre Singapore, Singapore.
Background: Palliative Care, Geriatrics and Emergency physicians are exposed to death, terminally ill patients and distress of patients and their families. As physicians bear witness to patients' suffering, they are vulnerable to the costs of caring-the emotional distress associated with providing compassionate and empathetic care to patients. If left unattended, this may culminate in burnout and compromise professional identity.
View Article and Find Full Text PDFPurpose: To better understand burnout in oncology and clinician well-being along the career continuum starting with training, we sought to characterize the professional well-being of physicians training in medical oncology in 2023 and to identify trends over time comparing to fellows from a decade prior.
Methods: All US medical oncology fellows taking the 2023 ASCO Medical Oncology In-Training Exam (ITE) were invited to complete an optional post-exam survey evaluating fatigue, satisfaction with work-life integration (WLI), emotional exhaustion and depersonalization. 2023 ITE survey responses were compared to the 2013 ASCO post-ITE survey (n=1345).
Analyzing the effectivity of evidence-based practice in health science higher education: a narrative review.
Sao Paulo Med J
January 2025
Professor, Master's Program in Innovation in Higher Education in Health, Universidade Municipal de São Caetano do Sul (USCS), São Caetano do Sul (SP), Brazil.
Background: Although multiple strategies have been suggested for evidence-based practice educational interventions, few studies have focused on the development of abilities for evidence-based practice implementation.
Objective: To explore the effectiveness of evidence-based practice in higher education and understand its teaching methods.
Design And Setting: Narrative review was conducted at the Universidade Municipal de São Caetano do Sul, Brazil.
Analysis and optimization of the landing zone parameters of a sclera lens model.
Arq Bras Oftalmol
January 2025
Ophthalmology and Visual Sciences Department, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Purpose: This study aimed to modify scleral contact lenses to achieve a desired compression standard and to evaluate the effectiveness and reliability of the adjustments.
Methods: In this nonrandomized, noncomparative, and partially masked study Scleral contact lens fittings were analyzed in 20 eyes of 12 patients (50% women, 50% men) diagnosed with keratoconus. Participants were selected based on their need for scleral contact lenses (SCLs), which was determined in complete ophthalmological examinations.
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