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Three third-year fellows present diverse research at Hot Topics. Juhi from University of Illinois in Chicago demonstrates lung ultrasound's potential to predict respiratory support duration in 30+ week infants, with first six-hour exams showing strongest correlation—suggesting possible replacement for admission chest x-rays. Tanima from Boston Children's applies large language models to extract IVH prognostic variables from AI literature, identifying critical gaps including absence of resolution prediction studies. Hailey conducts qualitative research on physician experiences with NICU mortality/morbidity, identifying three impactful loss categories: outcome-expectation mismatches, meaningful relationships, and weight of responsibilities. Their work exemplifies emerging neonatologist interests in point-of-care ultrasound, artificial intelligence applications, and clinician wellbeing.

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