Pregled bibliografske jedinice broj: 1154688
The augmented radiologist: artificial intelligence in the practice of radiology
The augmented radiologist: artificial intelligence in the practice of radiology // Pediatric Radiology, / (2021) doi:10.1007/s00247-021-05177-7 (međunarodna recenzija, pregledni rad, znanstveni)
CROSBI ID: 1154688 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The augmented radiologist: artificial intelligence in the practice of radiology
Autori
Sorantin, Erich ; Grasser, Michael G. ; Hemmelmayr, Ariane ; Tschauner, Sebastian ; Hrzic, Franko ; Weiss, Veronika ; Lacekova, Jana ; Holzinger, Andreas
Izvornik
Pediatric Radiology (0301-0449)
(2021);
0
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni
Ključne riječi
Artificial intelligence ; Clinical decision-making ; Deep learning ; Pediatric radiology ; Radiomics
Sažetak
In medicine, particularly in radiology, there are great expectations in artificial intelligence (AI), which can “see” more than human radiologists in regard to, for example, tumor size, shape, morphology, texture and kinetics — thus enabling better care by earlier detection or more precise reports. Another point is that AI can handle large data sets in high-dimensional spaces. But it should not be forgotten that AI is only as good as the training samples available, which should ideally be numerous enough to cover all variants. On the other hand, the main feature of human intelligence is content knowledge and the ability to find near-optimal solutions. The purpose of this paper is to review the current complexity of radiology working places, to describe their advantages and shortcomings. Further, we give an AI overview of the different types and features as used so far. We also touch on the differences between AI and human intelligence in problem-solving. We present a new AI type, labeled “explainable AI, ” which should enable a balance/cooperation between AI and human intelligence — thus bringing both worlds in compliance with legal requirements. For support of (pediatric) radiologists, we propose the creation of an AI assistant that augments radiologists and keeps their brain free for generic tasks.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti, Interdisciplinarne biotehničke znanosti, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
