Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Trust and Medical AI: The challenges we face and the expertise needed to
  overcome them   Artificial intelligence (AI) is increasingly of tremendous interest in the
medical field. However, failures of medical AI could have serious consequences
for both clinical outcomes and the patient experience. These consequences could
erode public trust in AI, which could in turn undermine trust in our healthcare
institutions. This article makes two contributions. First, it describes the
major conceptual, technical, and humanistic challenges in medical AI. Second,
it proposes a solution that hinges on the education and accreditation of new
expert groups who specialize in the development, verification, and operation of
medical AI technologies. These groups will be required to maintain trust in our
healthcare institutions.

17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol