INDEX
Pseudonyms are designated by asterisks.
acculturation of medical students, 61–62,
82–89
activation of the person: approaches to, 66;
in cadaver dissection, 34, 38, 44–47, 61,
65–66, 67–68, 255–56, 257, 261, 268n1; as
learned response of practitioners, 38; in
surgery, 63–65
a√ective abilities, 10; and cadaver dissec-
tion, 34, 49, 257; cultivation of, 8, 11, 29,
108–9; emulation of superiors, 107, 119,
120; as product of techniques of the
body, 10; and residencies, 105, 123; and
technical skills, 11, 226; and technologies
for medical training, 20
Alexander, Marcos,* 173–75
American College of Surgeons, 125
anatomy, 28; and acculturation, 82–89; and
anatomical knowledge of surgeons, 229–
31, 236; anatomical perception, 69, 81, 89,
94–95, 100; canonical vs. instantiated,
95–100, 179; clinical application of, 154;
and clinical problem solving, 79–80; and
cognitive model of medical knowing, 13;
cross-section anatomical specimens,
234–38, 274n6; decline of, as research sci-
ence, 71, 74–75; digital anatomy pro-
grams, 75–77; and errors in clinical prac-
tice, 89–90; and exam preparation, 80–
81; and image-based medicine, 95, 101;
language of, 73–74, 76–77, 82–84; and
mental models, 82–89; perceptual shifts
experienced in, 108; and qualified
instructors, 3, 71, 75; residents’ knowl-
edge of, 90; scope of field, 5–6; tech-
nological alternatives to (see anatomy,
computational); three-dimensional
understanding of, 22–23, 74, 274n6; time
allotted for, 3, 35. See also cadaver
dissection
anatomy, computational: advantages of,
91–93, 100–101; building variation into,
96, 100; as cadaver-dissection alternative,
6, 22, 71–73, 91–93; canonical vs.
instantiated anatomy, 95–100; and
image-based medicine, 95, 101
anesthesiologists, 144–45
apprenticeship systems of training: charac-
teristics of, 106; mortification of begin-
ners in, 114; performance evaluations in,
147, 206, 266; and reforms advocated in
medical education, 253; and Satava’s
technological vision, 205–6; technologi-
cal approach contrasted with, 221–22;
transition to, 135. See also residencies
Army’s Telemedicine and Advanced Tech-
nology Research Center, 202
articulation, concept of, Latour, 228–29,
250
artificial intelligence, 89, 273n6
autopsies, 41
Banerjee, Mihir,* 118–21, 127, 133
Beauchamp, Tom L., 224
Beauregard, Harry:* on cadaver dissection,
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