TY - JOUR
T1 - Artificial Intelligence in Pathology: From Prototype to Product
AU - Homeyer, André
AU - Lotz, Johannes
AU - Schwen, Lars Ole
AU - Weiss, Nick
AU - Romberg, Daniel
AU - Höfener, Henning
AU - Zerbe, Norman
AU - Hufnagl, Peter
PY - 2021/1
Y1 - 2021/1
N2 - Modern image analysis techniques based on artificial intelligence (AI) have great potential to improve the quality and efficiency of diagnostic procedures in pathology and to detect novel biomarkers. Despite thousands of published research papers on applications of AI in pathology, hardly any research implementations have matured into commercial products for routine use. Bringing an AI solution for pathology to market poses significant technological, business, and regulatory challenges. In this paper, we provide a comprehensive overview and advice on how to meet these challenges. We outline how research prototypes can be turned into a product-ready state and integrated into the IT infrastructure of clinical laboratories. We also discuss business models for profitable AI solutions and reimbursement options for computer assistance in pathology. Moreover, we explain how to obtain regulatory approval so that AI solutions can be launched as in vitro diagnostic medical devices. Thus, this paper offers computer scientists, software companies, and pathologists a road map for transforming prototypes of AI solutions into commercial products.
AB - Modern image analysis techniques based on artificial intelligence (AI) have great potential to improve the quality and efficiency of diagnostic procedures in pathology and to detect novel biomarkers. Despite thousands of published research papers on applications of AI in pathology, hardly any research implementations have matured into commercial products for routine use. Bringing an AI solution for pathology to market poses significant technological, business, and regulatory challenges. In this paper, we provide a comprehensive overview and advice on how to meet these challenges. We outline how research prototypes can be turned into a product-ready state and integrated into the IT infrastructure of clinical laboratories. We also discuss business models for profitable AI solutions and reimbursement options for computer assistance in pathology. Moreover, we explain how to obtain regulatory approval so that AI solutions can be launched as in vitro diagnostic medical devices. Thus, this paper offers computer scientists, software companies, and pathologists a road map for transforming prototypes of AI solutions into commercial products.
UR - https://www.mendeley.com/catalogue/3c4279d8-e1c5-35ac-a9c8-76a87a89a814/
U2 - 10.4103/jpi.jpi_84_20
DO - 10.4103/jpi.jpi_84_20
M3 - Journal articles
SN - 2153-3539
VL - 12
SP - 13
JO - Journal of Pathology Informatics
JF - Journal of Pathology Informatics
IS - 1
ER -