Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lightweight Mobile Automated Assistant-to-physician for Global
  Lower-resource Areas   Importance: Lower-resource areas in Africa and Asia face a unique set of
healthcare challenges: the dual high burden of communicable and
non-communicable diseases; a paucity of highly trained primary healthcare
providers in both rural and densely populated urban areas; and a lack of
reliable, inexpensive internet connections. Objective: To address these
challenges, we designed an artificial intelligence assistant to help primary
healthcare providers in lower-resource areas document demographic and medical
sign/symptom data and to record and share diagnostic data in real-time with a
centralized database. Design: We trained our system using multiple data sets,
including US-based electronic medical records (EMRs) and open-source medical
literature and developed an adaptive, general medical assistant system based on
machine learning algorithms. Main outcomes and Measure: The application
collects basic information from patients and provides primary care providers
with diagnoses and prescriptions suggestions. The application is unique from
existing systems in that it covers a wide range of common diseases, signs, and
medication typical in lower-resource countries; the application works with or
without an active internet connection. Results: We have built and implemented
an adaptive learning system that assists trained primary care professionals by
means of an Android smartphone application, which interacts with a central
database and collects real-time data. The application has been tested by dozens
of primary care providers. Conclusions and Relevance: Our application would
provide primary healthcare providers in lower-resource areas with a tool that
enables faster and more accurate documentation of medical encounters. This
application could be leveraged to automatically populate local or national EMR
systems.

18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys