Deep learning-enabled medical computer vision
A 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 …
potential for many fields—including medicine—to benefit from the insights that AI techniques …
History of artificial intelligence in medicine
V Kaul, S Enslin, SA Gross - Gastrointestinal endoscopy, 2020 - Elsevier
Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …
models prevented widespread acceptance and application to medicine. In the early 2000s …
Designing deep learning studies in cancer diagnostics
A Kleppe, OJ Skrede, S De Raedt, K Liestøl… - Nature Reviews …, 2021 - nature.com
The number of publications on deep learning for cancer diagnostics is rapidly increasing,
and systems are frequently claimed to perform comparable with or better than clinicians …
and systems are frequently claimed to perform comparable with or better than clinicians …
Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives
Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
[HTML][HTML] Artificial intelligence in health care: bibliometric analysis
Background As a critical driving power to promote health care, the health care–related
artificial intelligence (AI) literature is growing rapidly. Objective The purpose of this analysis …
artificial intelligence (AI) literature is growing rapidly. Objective The purpose of this analysis …
A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
Artificial convolutional neural network in object detection and semantic segmentation for medical imaging analysis
R Yang, Y Yu - Frontiers in oncology, 2021 - frontiersin.org
In the era of digital medicine, a vast number of medical images are produced every day.
There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical …
There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical …
[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study
H Luo, G Xu, C Li, L He, L Luo, Z Wang, B Jing… - The Lancet …, 2019 - thelancet.com
Background Upper gastrointestinal cancers (including oesophageal cancer and gastric
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …
cancer) are the most common cancers worldwide. Artificial intelligence platforms using deep …