Name | Position | Country | Term | Time in Office |
LJ Kricka | Chair | US | 1st | 2021 01 - 2023 12 |
LM Baudhuin | Member | US | ||
A Ertel | Member | US | ||
P Fortina | Member | US | ||
T Hope | Member | US | ||
C McCudden | Member | CA | ||
JY Park | Member | US | ||
S Polevikov | Member | US | ||
D Satchkov | Member | US |
The IFCC Emerging Technology Division (ETD) is dedicated to providing current awareness for emerging technologies likely to have important clinical diagnostic applications in the near future. Artificial intelligence (AI) is an important emerging technology, and in the future, it is likely that this technology will become embedded in many aspects of medicine. In particular, it is expected to play a key role in laboratory medicine. Accordingly, a familiarity with this technology and its scope, applications, accessibility, and limitations will become important in the practice of laboratory medicine in the future. The focus of this WG is the area defined by the intersection of artificial intelligence, genomics, and clinical diagnostics.
NEW! Recommendations for data, source code, AI methods, and experiments in AI publications (adapted from Gundersen et al 2018) can be found HERE. |
NEW! Several recent reports and publications addressing the convergence of digital health, artificial intelligence with Universal Health Coverage (The Lancet and Financial Times Commission), ethics and governance of artificial intelligence (WHO), good machine learning practice (FDA), and the reproducibility and clinical translation of machine learning applications can be found BELOW:
Current awareness
NEW! 2022 AI Index Report (now in its Fifth Edition) (Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, and Raymond Perrault, “The AI Index 2022 Annual Report,” AI Index Steering Committee, Stanford Institute for Human-Centered AI, Stanford University, March 2022. https://hai.stanford.edu/research/ai-index-2022).
This annual report “tracks, collates, distills, and visualizes data relating to artificial intelligence, enabling decision-makers to take meaningful action to advance AI responsibly and ethically with humans in mind.” The report is divided into five chapters covering: Research and Development, Technical Performance, Technical AI Ethics, The Economy and Education, AI Policy and Governance.
Useful commentaries on the report can be found in a series of articles on: a. the state of AI in 9 charts (Lynch S. Stanford University HAI. Mar 16, 2022. https://hai.stanford.edu/news/state-ai-9-charts); b. the mounting ethical concerns (Zhang D, Clark J, Perrault R. The 2022 AI Index: Industrialization of AI and Mounting Ethical Concerns. Stanford University HAI. Mar 16, 2022. https://hai.stanford.edu/news/2022-ai-index-industrialization-ai-and-mounting-ethical-concerns); and c. AIs ethical growing pains (Miller K. The 2022 AI Index: AI’s Ethical Growing Pains. Stanford University HAI. Mar 16, 2022. https://hai.stanford.edu/news/2022-ai-index-ais-ethical-growing-pains).
Prof Larry KRICKA
Department of Pathology and Laboratory Medicine
University of Pennsylvania Medical Center
3400 Spruce Street
Philadelphia, PA 19104 - USA
Email: kricka@pennmedicine.upenn.edu