PhD student at CAMES
Guest Researcher at Odense University Hosptial
Project leader of the AISC research consortium
CEO at MelaTech IVS
Specialty: Plastic Surgery & Dermatology
No. of publications: 2
Keywords: Dermatology; Artificial Intelligence; Knowledge retrieval; transfer of skills; medical education.
Niels Ternov’s area of research is feedback and training of doctors using Artificial Intelligence (AI).
He aims to improve short- and long term retention as well as transfer and retrieval of skills through implementation of AI in the learning loop of doctors. He plans to explore the development and implementation of state-of-the-art machine learning algorithms for real-time analysis of trainees’ user patterns and subsequent automated optimization of their curriculum.
Ternov NK, Vestergaard T, Hölmich LR, et al. Reliable test of clinicians' mastery in skin cancer diagnostics [published online ahead of print, 2020 Jun 28]. Arch Dermatol Res. 2020;10.1007/s00403-020-02097-8.
Ternov NK, Lambine TL, Wagenblast ALH, et al. Targeted ultrasound and fine-needle aspiration cytology for sentinel node diagnostics in early-stage melanoma: a validation study. Melanoma Res. 2018;28(4):319-325.
PhD Supervisors at CAMES
Lars Konge Martin Tolsgaard