Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Developing Medical AI : a cloud-native audio-visual data collection
  study   Designing Artificial Intelligence (AI) solutions that can operate in
real-world situations is a highly complex task. Deploying such solutions in the
medical domain is even more challenging. The promise of using AI to improve
patient care and reduce cost has encouraged many companies to undertake such
endeavours. For our team, the goal has been to improve early identification of
deteriorating patients in the hospital. Identifying patient deterioration in
lower acuity wards relies, to a large degree on the attention and intuition of
clinicians, rather than on the presence of physiological monitoring devices. In
these care areas, an automated tool which could continuously observe patients
and notify the clinical staff of suspected deterioration, would be extremely
valuable. In order to develop such an AI-enabled tool, a large collection of
patient images and audio correlated with corresponding vital signs, past
medical history and clinical outcome would be indispensable. To the best of our
knowledge, no such public or for-pay data set currently exists. This lack of
audio-visual data led to the decision to conduct exactly such study. The main
contributions of this paper are, the description of a protocol for audio-visual
data collection study, a cloud-architecture for efficiently processing and
consuming such data, and the design of a specific data collection device.

15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
37
The categories of this paper are: supr-con
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
20
The categories of this paper are: acc-phys
22
The categories of this paper are: chao-dyn