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 …
[HTML][HTML] The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review
G Karimian, E Petelos, SMAA Evers - AI and Ethics, 2022 - Springer
Artificial intelligence (AI) is being increasingly applied in healthcare. The expansion of AI in
healthcare necessitates AI-related ethical issues to be studied and addressed. This …
healthcare necessitates AI-related ethical issues to be studied and addressed. This …
[HTML][HTML] On evaluation metrics for medical applications of artificial intelligence
Clinicians and software developers need to understand how proposed machine learning
(ML) models could improve patient care. No single metric captures all the desirable …
(ML) models could improve patient care. No single metric captures all the desirable …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
[HTML][HTML] Clinical impact and quality of randomized controlled trials involving interventions evaluating artificial intelligence prediction tools: a systematic review
Q Zhou, Z Chen, Y Cao, S Peng - NPJ digital medicine, 2021 - nature.com
The evidence of the impact of traditional statistical (TS) and artificial intelligence (AI) tool
interventions in clinical practice was limited. This study aimed to investigate the clinical …
interventions in clinical practice was limited. This study aimed to investigate the clinical …
[HTML][HTML] Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy
Background Colonoscopy remains the gold-standard screening for colorectal cancer.
However, significant miss rates for polyps have been reported, particularly when there are …
However, significant miss rates for polyps have been reported, particularly when there are …
[HTML][HTML] Artificial intelligence assists precision medicine in cancer treatment
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …
same drugs or surgical methods in patients with the same tumor may have different curative …
Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis
Background and Aims Deep learning is an innovative algorithm based on neural networks.
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …
Wireless capsule endoscopy (WCE) is considered the criterion standard for detecting small …
Opening the black box of AI‐Medicine
AIF Poon, JJY Sung - Journal of gastroenterology and …, 2021 - Wiley Online Library
One of the biggest challenges of utilizing artificial intelligence (AI) in medicine is that
physicians are reluctant to trust and adopt something that they do not fully understand and …
physicians are reluctant to trust and adopt something that they do not fully understand and …