Publications by authors named "A Adikari"
Article Synopsis
- * StA at higher concentrations (20 and 50 μg/ml) significantly lowered fertilization rates of pig oocytes compared to lower concentrations (10 μg/ml) and control conditions, although it did not affect the survival of oocytes or sperm.
- * Pre-incubating mature oocytes with StA reduced the occurrence of polyspermy during IVF, indicating its potential use in improving fertilization outcomes in assisted reproductive technologies for humans and animals.
Background: Commonly offered as supportive care, therapist-led online support groups (OSGs) are a cost-effective way to provide support to individuals affected by cancer. One important indicator of a successful OSG session is group cohesion; however, monitoring group cohesion can be challenging due to the lack of nonverbal cues and in-person interactions in text-based OSGs. The Artificial Intelligence-based Co-Facilitator (AICF) was designed to contextually identify therapeutic outcomes from conversations and produce real-time analytics.
View Article and Find Full Text PDFBackground: Low socioeconomic status is a risk factor for depression. The nature and magnitude of associations can differ cross-culturally and is influenced by a range of contextual factors. We examined the aetiology of socioeconomic indicators and depression symptoms and investigated whether socioeconomic indicators moderate genetic and environmental influences on depression symptoms in a Sri Lankan population.
View Article and Find Full Text PDFBackground: The recent onset of the COVID-19 pandemic and the social distancing requirement have created an increased demand for virtual support programs. Advances in artificial intelligence (AI) may offer novel solutions to management challenges such as the lack of emotional connections within virtual group interventions. Using typed text from online support groups, AI can help identify the potential risk of mental health concerns, alert group facilitator(s), and automatically recommend tailored resources while monitoring patient outcomes.
View Article and Find Full Text PDFArticle Synopsis
- Aphasia is a communication disorder often caused by brain injuries like strokes, impacting individuals' quality of life, leading researchers to explore AI solutions for better management and rehabilitation.
- A scoping review of 77 studies was conducted to track the evolution of AI in aphasia, assessing its research objectives and technological advancements over time.
- The findings showed a shift from automated assessments to AI-driven therapy and personalized systems, indicating significant opportunities to further integrate AI in aphasia rehabilitation for tailored patient care.