| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments
|
Nuutinen, Mikko
|
|
|
13 |
2 |
p. 229-244
|
article
|
| 2 |
A robotic arm for safe and accurate control of biomedical equipment during COVID-19
|
Iadanza, Ernesto
|
|
|
13 |
2 |
p. 285-300
|
article
|
| 3 |
Artificial Intelligence Applied to clinical trials: opportunities and challenges
|
Askin, Scott
|
|
|
13 |
2 |
p. 203-213
|
article
|
| 4 |
A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
|
Krishnapriya, Srigiri
|
|
|
13 |
2 |
p. 181-201
|
article
|
| 5 |
A systematic scoping review of digital health technologies during COVID-19: a new normal in primary health care delivery
|
Ndayishimiye, Costase
|
|
|
13 |
2 |
p. 273-284
|
article
|
| 6 |
Evolution – removing paper and digitising the hospital
|
Baniulyte, G.
|
|
|
13 |
2 |
p. 263-271
|
article
|
| 7 |
Factors contributing to poor healthcare data quality: qualitative study from Southern Ethiopia
|
Endriyas, Misganu
|
|
|
13 |
2 |
p. 245-251
|
article
|
| 8 |
Internet of Things (IoT) based automated sanitizer dispenser and COVID-19 statistics reporter in a post-pandemic world
|
G., Ashok
|
|
|
13 |
2 |
p. 327-341
|
article
|
| 9 |
Real-world treatment response in Japanese patients with cancer using unstructured data from electronic health records
|
Araki, Kenji
|
|
|
13 |
2 |
p. 253-262
|
article
|
| 10 |
Survival study on deep learning techniques for IoT enabled smart healthcare system
|
Munnangi, Ashok Kumar
|
|
|
13 |
2 |
p. 215-228
|
article
|
| 11 |
The applications and the effectiveness of mHealth interventions to manage lung cancer patients: a systematic review
|
Amiri, Parastoo
|
|
|
13 |
2 |
p. 171-180
|
article
|
| 12 |
The first year of the Covid-19 pandemic through the lens of r/Coronavirus subreddit: an exploratory study
|
Tan, Zachary
|
|
|
13 |
2 |
p. 301-326
|
article
|
Journal description