Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment

By Steven E Dilsizian, E. Siegel. 2013

450 citations recorded by the source corpus.

Subfields: Family Practice, Health Informatics, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Health Informatics

1. Chao Yu
2. Shamim Nemati
3. Jiming Liu
4. Q. Liao
5. Daniel Shu Wei Ting
6. Guoqi Ren

In Radiology, Nuclear Medicine and Imaging

1. Shamim Nemati
2. Jun Xia
3. Chao Yu
4. Guang Yang
5. Qinghao Ye
6. Jiming Liu
7. Daniel Shu Wei Ting

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, background): “Driven by the increasing availability of massive multimodality data, and developed computational models and algorithms, the role of AI techniques in healthcare has grown rapidly in the past decade [1], [2], [3], [4].”
• Artificial intelligence in healthcare: past, present and future (2017, background): “Cardiology: Dilsizian and Siegel discussed the potential application of the AI system to diagnose the heart disease through cardiac image.(3) Arterys recently received clearance from the US Food and Drug Administration (FDA) to market its Arterys Cardio DL application, which uses AI to provide autom”
• Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, background): “In the medical literature, the effects of AI have been widely de-bated [12–14].”
• Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies (2021, background): “Thanks to recent advances, AI has become a ubiquitous technology and been introduced into high-stakes domains such as healthcare, finance, criminal justice, hiring, and more [8, 33, 38, 72, 142, 150].”
• The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare. (2021, background): “8 With the development of AI comes additional concerns regarding data privacy, as individuals may mistake artificial systems for humans and allow further unconscious data collection.”