Introduction to Medical Applications of Artificial Intelligence

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Andre Esteva ◽  
Katherine Chou ◽  
Serena Yeung ◽  
Nikhil Naik ◽  
Ali Madani ◽  
...  

AbstractA decade of unprecedented progress in artificial intelligence (AI) has demonstrated the potential for many fields—including medicine—to benefit from the insights that AI techniques can extract from data. Here we survey recent progress in the development of modern computer vision techniques—powered by deep learning—for medical applications, focusing on medical imaging, medical video, and clinical deployment. We start by briefly summarizing a decade of progress in convolutional neural networks, including the vision tasks they enable, in the context of healthcare. Next, we discuss several example medical imaging applications that stand to benefit—including cardiology, pathology, dermatology, ophthalmology–and propose new avenues for continued work. We then expand into general medical video, highlighting ways in which clinical workflows can integrate computer vision to enhance care. Finally, we discuss the challenges and hurdles required for real-world clinical deployment of these technologies.


Author(s):  
Prem N. Ramkumar ◽  
Kyle N. Kunze ◽  
Heather S. Haeberle ◽  
Jaret M. Karnuta ◽  
Bryan C. Luu ◽  
...  

Author(s):  
Adi Armoni

In recent years we have witnessed sweeping developments in information technology. Currently, the most promising and interesting domain seemed to be the artificial intelligence. Within this field we see now a growing interest in the medical applications. The purpose of this article is to present a general review of the main areas of artificial intelligence and its applications to the medical domain. The review will focus on artificial intelligence applications to radiology, robotically-operated surgical procedures and different kinds of expert systems.


2011 ◽  
pp. 129-148
Author(s):  
Adi Armoni

In recent years we have witnessed sweeping developments in information technology. Currently, the most promising and interesting domain seemed to be the artificial intelligence. Within this field we see now a growing interest in the medical applications. The purpose of this article is to present a general review of the main areas of artificial intelligence and its applications to the medical domain. The review will focus on artificial intelligence applications to radiology, robotically-operated surgical procedures and different kinds of expert systems.


2018 ◽  
Vol 2018 ◽  
pp. 1-2 ◽  
Author(s):  
Yung-Kuan Chan ◽  
Yung-Fu Chen ◽  
Tuan Pham ◽  
Weide Chang ◽  
Ming-Yuan Hsieh

2019 ◽  
Vol 101 ◽  
Author(s):  
Olivia Greatbatch ◽  
Alice Garrett ◽  
Katie Snape

Abstract Artificial intelligence (AI) is one of the most significant fields of development in the current digital age. Rapid advancements have raised speculation as to its potential benefits in a wide range of fields, with healthcare often at the forefront. However, amidst this optimism, apprehension and opposition continue to strongly persist. Oft-cited concerns include the threat of unemployment, harm to the doctor–patient relationship and questions of safety and accuracy. In this article, we review both the current and future medical applications of AI within the sub-speciality of cancer genomics.


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