PhD student at CAMES
Guest Researcher at Odense University Hosptial
Project leader & CEO at MelaTech IVS
Specialty: Plastic Surgery & Dermatology
No. of publications: 2
Keywords: Dermatology; Artificial Intelligence; 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 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