Archive · 2026-01-22
AI ethics on Thursday, 22 January 2026
4 items published this day, across 1 categories.
Research (4)
Intensity over duration in neurological rehabilitation: exploring evidence for optimised recovery paradigms
Background: Contemporary stroke rehabilitation protocols traditionally emphasise session frequency and treatment duration over intervention intensity-yet emerging evidence suggests we may be preparing patients for therapeutic marathons when their brains demand neuroplastic sprints. Across neuroscientific, behavioural, and clinical domains, convergent data indicate that repetition density, metabolic load, engagement, and temporal compression-not cumulative minutes-constitute the biologically mean
Personalizing esketamine treatment in TRD and TRBD: the role of mentalization, cognitive rigidity, psychache, and suicidality
Introduction: Treatment-Resistant Depression (TRD) remains a major challenge in the management of Major Depressive Disorder (MDD). Esketamine, the S-enantiomer of ketamine and a glutamatergic modulator, was approved by the FDA and EMA for TRD in 2019. Beyond its rapid antidepressant effects, esketamine may enhance neuroplasticity, facilitating the reconnection with emotional and cognitive processes, improving mentalization and social cognition, and promoting resilience. Objective: This prospecti
Total cholesterol, high-density lipoprotein, and glucose (CHG) index and diabetic retinopathy in middle-aged and elderly Chinese adults with diabetes: a cross-sectional study
Objective: Evidence regarding the association between the total cholesterol, high-density lipoprotein, and glucose (CHG) index and diabetic retinopathy (DR) remains limited. This study aimed to explore the relationship between CHG and the prevalence of DR and evaluate its discriminative ability for DR. Methods: This cross-sectional study analyzed data from 1,909 individuals with diabetes mellitus (DM), aged 45-90 years, whose information was collected between August and December 2011. To determi
Exploring the role of agentic AI in fostering self-efficacy, autonomy support, and self-learning motivation in higher education
Introduction: Rapid adoption of Artificial Intelligence (AI) in learning has revolutionized learners' engagement but comprehension of psychological and technological drivers of successful AI-enabled learning remains scarce. This research investigates how students' perceived agency of AI, usefulness, ease of use, trust, autonomy supporting, and self-efficacy collectively impact students' self-learning behavior and motivation. Based on Technology Acceptance Model (TAM), Social Cognitive Theory (SC