Publications by authors named "T B Salvador"

Significance: Conventional ultrasound-guided vascular access procedures are challenging due to the need for anatomical understanding, precise needle manipulation, and hand-eye coordination. Recently, augmented reality (AR)-based guidance has emerged as an aid to improve procedural efficiency and potential outcomes. However, its application in pediatric vascular access has not been comprehensively evaluated.

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  • Immune-related cutaneous adverse events (ircAEs) affect over 50% of patients on checkpoint inhibitors, yet their mechanisms remain unclear.
  • A study examined 200 patients (139 with ircAEs and 61 controls) to identify clinical presentations and cytokine responses, leading to the discovery of eight different ircAE phenotypes, such as pruritus and eczema, each involving immune cell infiltration.
  • Analysis showed unique cytokine profiles related to specific phenotypes, revealing potential treatment strategies that could involve targeted therapies or corticosteroids for effective management of these adverse events.
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Aims: Assess the potential benefits of using PedBotLab, a clinic based robotic ankle platform with integrated video game software, to improve ankle active and passive range of motion, strength, selective motor control, gait efficiency, and balance.

Methods: Ten participants with static neurological injuries and independent ambulation participated in a 10-week pilot study (Pro00013680) to assess feasibility and efficacy of PedBotLab as a therapeutic device twice weekly. Isometric ankle strength, passive and active ankle range of motion, plantarflexor spasticity, selective motor control of the lower extremity, balance, and gait speed were measured pre- and post-trial.

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  • The study validated the accuracy of an open-source AI algorithm for diagnosing melanoma, assessing its sensitivity and specificity based on skin lesion images from 435 participants.
  • The AI showed a sensitivity of 96.8% at a threshold of 95%, while dermatologists' accuracy in assessing melanoma risk improved after reviewing the AI's findings.
  • The results indicate the AI's potential to enhance decision-making in dermatology, though further larger trials are necessary to integrate it into clinical practice.
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