Publications by authors named "C M Kulkarni"

Article Synopsis
  • The study compares scene-independent and scene-dependent eye metrics to evaluate how well they assess performance in simulated psychomotor tasks for trainees.
  • Scene-dependent metrics showed a stronger correlation with performance levels compared to scene-independent metrics, based on the analysis of eye-tracking and task completion data.
  • The results suggest that using scene-dependent eye metrics could improve skill assessment and training, ultimately enhancing the competency of operators in various fields like surgery and aviation.
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Background/objectives: Carrot is a major root vegetable in the owing to its abundant carotenoids, antioxidants, vitamins, and minerals. The modern dark orange western carrot was derived from sequential domestication events from the white-rooted wild form to the pale orange-, purple-, or yellow-rooted eastern carrot. Genetic and molecular studies between eastern and western carrots are meager despite their evolutionary relatedness.

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Article Synopsis
  • Adolescents with childhood-onset systemic lupus erythematosus (cSLE) experience high rates of mental health (MH) issues, but screening rates for these problems were only 15% at a pediatric clinic before an improvement initiative began.
  • The aim was to increase screening for depression and anxiety among cSLE patients aged 12-18 from 15% to 80% by implementing a structured screening workflow and providing training for healthcare providers.
  • Over 21 months, screening rates improved significantly, peaking at 100%, with 45% of screened individuals showing symptoms of anxiety and/or depression, leading to increased patient satisfaction and referrals to mental health services.
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Interest in artificial intelligence (AI) applications for ulcerative colitis (UC) has grown tremendously in recent years. In the past 5 years, there have been over 80 studies focused on machine learning (ML) tools to address a wide range of clinical problems in UC, including diagnosis, prognosis, identification of new UC biomarkers, monitoring of disease activity, and prediction of complications. AI classifiers such as random forest, support vector machines, neural networks, and logistic regression models have been used to model UC clinical outcomes using molecular (transcriptomic) and clinical (electronic health record and laboratory) datasets with relatively high performance (accuracy, sensitivity, and specificity).

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Objective: To document the experience of 14 academic child and adolescent psychiatry programs in transitioning to and managing telehealth services during the COVID-19 pandemic. The goal was to understand how programs adopted and sustained telehealth during the pandemic. Telehealth was defined as services delivered via videoconferencing and telephony.

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