Matches in SemOpenAlex for { <https://semopenalex.org/work/W3000948500> ?p ?o ?g. }
- W3000948500 abstract "Cardiovascular conditions remain the leading cause of mortality and morbidity worldwide, with genotype being a significant influence on disease risk. Cardiac imaging-genetics aims to identify and characterise the genetic variants that influence functional, physiological and anatomical phenotypes derived from cardiovascular imaging. High-throughput DNA sequencing and genotyping have greatly accelerated genetic discovery, making variant interpretation one of the key challenges in contemporary clinical genetics. Heterogeneous, low-fidelity phenotyping and difficulties integrating and then analysing large-scale genetic, imaging and clinical datasets using traditional statistical approaches have impeded process. Artificial intelligence (AI) methods, such as deep learning, are particularly suited to tackle the challenges of scalability and high dimensionality of data and show promise in the field of cardiac imaging-genetics. Here we review the current state of AI as applied to imaging-genetics research and discuss outstanding methodological challenges, as the field moves from pilot studies to mainstream applications, from one dimensional global descriptors to high-resolution models of whole-organ shape and function, from univariate to multivariate analysis and from candidate gene to genome-wide approaches. Finally, we consider the future directions and prospects of AI imaging-genetics for ultimately helping understand the genetic and environmental underpinnings of cardiovascular health and disease." @default.
- W3000948500 created "2020-01-30" @default.
- W3000948500 creator A5057778537 @default.
- W3000948500 creator A5071762687 @default.
- W3000948500 creator A5089066482 @default.
- W3000948500 date "2020-01-21" @default.
- W3000948500 modified "2023-10-15" @default.
- W3000948500 title "Artificial Intelligence for Cardiac Imaging-Genetics Research" @default.
- W3000948500 cites W1019830208 @default.
- W3000948500 cites W127494906 @default.
- W3000948500 cites W1505191356 @default.
- W3000948500 cites W1708392634 @default.
- W3000948500 cites W1872336954 @default.
- W3000948500 cites W1943743677 @default.
- W3000948500 cites W1975990737 @default.
- W3000948500 cites W1976196376 @default.
- W3000948500 cites W1981323832 @default.
- W3000948500 cites W1993333521 @default.
- W3000948500 cites W1995783197 @default.
- W3000948500 cites W1999251970 @default.
- W3000948500 cites W2005314874 @default.
- W3000948500 cites W2025389038 @default.
- W3000948500 cites W2046557060 @default.
- W3000948500 cites W2071659396 @default.
- W3000948500 cites W2074002906 @default.
- W3000948500 cites W2095996999 @default.
- W3000948500 cites W2098057186 @default.
- W3000948500 cites W2103657800 @default.
- W3000948500 cites W2106242560 @default.
- W3000948500 cites W2106671991 @default.
- W3000948500 cites W2110065044 @default.
- W3000948500 cites W2110496823 @default.
- W3000948500 cites W2130775436 @default.
- W3000948500 cites W2144015117 @default.
- W3000948500 cites W2157150618 @default.
- W3000948500 cites W2165810797 @default.
- W3000948500 cites W2167989424 @default.
- W3000948500 cites W2168909179 @default.
- W3000948500 cites W2175293826 @default.
- W3000948500 cites W2198606573 @default.
- W3000948500 cites W2249689471 @default.
- W3000948500 cites W2308085519 @default.
- W3000948500 cites W2311607323 @default.
- W3000948500 cites W2345512687 @default.
- W3000948500 cites W2396398862 @default.
- W3000948500 cites W2413889045 @default.
- W3000948500 cites W2420184095 @default.
- W3000948500 cites W2433743436 @default.
- W3000948500 cites W2502949459 @default.
- W3000948500 cites W2549857822 @default.
- W3000948500 cites W2549885908 @default.
- W3000948500 cites W2556701428 @default.
- W3000948500 cites W2578360375 @default.
- W3000948500 cites W2579231017 @default.
- W3000948500 cites W2605253636 @default.
- W3000948500 cites W2626606138 @default.
- W3000948500 cites W2629764646 @default.
- W3000948500 cites W2691730529 @default.
- W3000948500 cites W2727650337 @default.
- W3000948500 cites W2746516350 @default.
- W3000948500 cites W2766331499 @default.
- W3000948500 cites W2766447205 @default.
- W3000948500 cites W2768083064 @default.
- W3000948500 cites W2790444357 @default.
- W3000948500 cites W2794958817 @default.
- W3000948500 cites W2795283147 @default.
- W3000948500 cites W2801357935 @default.
- W3000948500 cites W2803176574 @default.
- W3000948500 cites W2804047627 @default.
- W3000948500 cites W2807992546 @default.
- W3000948500 cites W2808580788 @default.
- W3000948500 cites W2883415719 @default.
- W3000948500 cites W2888416393 @default.
- W3000948500 cites W2888570268 @default.
- W3000948500 cites W2891398396 @default.
- W3000948500 cites W2896287590 @default.
- W3000948500 cites W2896557062 @default.
- W3000948500 cites W2901218091 @default.
- W3000948500 cites W2902644322 @default.
- W3000948500 cites W2903819949 @default.
- W3000948500 cites W2905245788 @default.
- W3000948500 cites W2906292844 @default.
- W3000948500 cites W2908201961 @default.
- W3000948500 cites W2910584107 @default.
- W3000948500 cites W2922217454 @default.
- W3000948500 cites W2923923482 @default.
- W3000948500 cites W2924551358 @default.
- W3000948500 cites W2935703330 @default.
- W3000948500 cites W2937186836 @default.
- W3000948500 cites W2943491685 @default.
- W3000948500 cites W2950980382 @default.
- W3000948500 cites W2951897480 @default.
- W3000948500 cites W2955467907 @default.
- W3000948500 cites W2957561054 @default.
- W3000948500 cites W2970686124 @default.
- W3000948500 cites W2975160091 @default.
- W3000948500 cites W2975505463 @default.
- W3000948500 cites W2976398475 @default.
- W3000948500 cites W2976637401 @default.
- W3000948500 cites W3105445034 @default.