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1 new disability after surgery to inform their medical decision making.
2 satisfactory predictions to aid personalized medical decision making.
3 aging are rapidly being developed to support medical decision making.
4 to improve a diagnosis of DHR and influence medical decision making.
5 d physicians to use these devices for prompt medical decision making.
6 k markers despite their potential to improve medical decision making.
7 improved prediction of prognosis and better medical decision making.
8 FN AUS did not significantly impact adjuvant medical decision making.
9 t, we review Bayes theorem in the context of medical decision making.
10 isk trade-offs of diagnostics that assist in medical decision making.
11 treatment response is a pervasive concern in medical decision making.
12 mation into a report will offer new value in medical decision making.
13 eveal shortcomings of common perspectives on medical decision making.
14 er accuracy, faster speed, and lower cost in medical decision making.
15 gnosis among terminally ill patients impacts medical decision making.
16 he use of real-time pretest probabilities in medical decision making.
17 s a unique set of predictors that can aid in medical decision making.
18 reasingly important role in patient-centered medical decision making.
19 nsplant center characteristics predictive of medical decision making.
20 erences for degree of patient involvement in medical decision making.
21 ew the role of family interests in surrogate medical decision making.
22 terests as they are encountered in surrogate medical decision making.
23 may represent an overly simplistic model for medical decision making.
24 mployed to determine prognosis and assist in medical decision making.
25 recognition of the need to consider cost in medical decision making.
26 s to hold MCOs accountable for their role in medical decision making.
27 the associations between various factors and medical decision making.
28 rights to privacy and self-determination in medical decision-making.
29 sis contribute evidence-based data to inform medical decision-making.
30 have gained relevance as supportive tools in medical decision-making.
31 formation to support active participation in medical decision-making.
32 ted with clinicians, and how racism impacted medical decision-making.
33 s influenced the role they wanted to play in medical decision-making.
34 th a loss of capacity and characteristics of medical decision-making.
35 merous systems and stakeholders critical for medical decision-making.
36 allow for accurate diagnosis, prognosis, and medical decision-making.
37 of increasing transparency in the support of medical decision-making.
38 the call to better engage patients in shared medical decision-making.
39 he same time preserving interpretability for medical decision-making.
40 e reliable radiogenomics models for improved medical decision-making.
41 n illusory subjective understanding of human medical decision-making.
42 nd provide critical information required for medical decision-making.
43 ajor caregiving responsibilities and, often, medical decision-making.
44 erged as a promising approach for supporting medical decision-making.
45 vanced heart disease favored active roles in medical decision-making.
46 2) reliance on sociofamilial connections for medical decision-making, (3) impact of psoriasis on work
47 Evidence-based medicine forms the basis for medical decision-making about accepting the patient as a
49 the high-stakes role of randomized trials in medical decision making, AI must be integrated carefully
50 For studies that provided detailed data on medical decision-making algorithms, bootstrapped dataset
51 references for life-sustaining treatment and medical decision making among pediatric intensivists.
52 issues in younger complex patients, whereas medical decision making and care coordination predominat
53 sult likely introduces a cognitive bias into medical decision making and could explain our observatio
54 eristics of observational studies can inform medical decision making and health policy, and it is cri
55 13) C-MBT point-of-care test may assist with medical decision making and help avoid unnecessary trans
57 y and the general public about mechanisms of medical decision making and the interplay of physician a
59 ted that 1985 images (55.1%) were useful for medical decision-making and 2239 (62.2%) were of suffici
61 ntion on the need for greater objectivity in medical decision-making and led to the Cochrane Collabor
63 patients, including confidentiality, shared medical decision making, and respect for patient autonom
64 se expands to encompass legal documentation, medical decision-making, and patient education, policies
69 s were avoided using SPECT/CT, compared with medical decision making based on the planar images alone
70 ibed various mechanisms of self-advocacy and medical decision-making based on prior experiences with
71 titative assessment of motion is critical to medical decision-making but is currently possible only w
72 ical laboratory tests play a pivotal role in medical decision making, but little is known about their
74 we develop a statistical model to study how medical decision-making can be improved by aggregating r
75 udies (n = 43) of instruments that evaluated medical decision-making capacity for treatment decisions
76 were non-English speaking, lacked autonomous medical decision-making capacity, scheduled for emergent
78 tudy is warranted of its potential effect on medical decision making, clinical outcome, and cost-effe
79 By enabling more efficient and effective medical decision making, computer-based clinical decisio
80 areas for accountability in ethical conduct: medical decision making, confidentiality, fiduciary obli
81 bution width is further predicted to enhance medical decision making during early sepsis management i
82 l dilemma in the context of complex clinical medical decision-making, during marked uncertainty for o
83 attendance), interfering with or restricting medical decision-making (eg, maximum daily dosages of 16
84 ratified perspectives on the role of cost in medical decision-making expressed by our participants un
86 outcome of SRT and should prove valuable for medical decision making for patients with a rising PSA l
87 d set of evidence-based guidelines to assist medical decision making for this high-risk population gr
89 or clinicians and hospital administrators on medical decision-making for unrepresented patients in th
90 ially inappropriate treatment (9/20, 45%) or medical decision-making for unrepresented patients lacki
94 ent of ATS clinical practice guidelines, and medical decision-making in general, when 1) no RCTs are
95 treatment efficiency, and support automated medical decision-making in resource-constrained environm
98 e concept of involving pediatric patients in medical decision-making, in both clinical and research a
99 l-concordant care during critical moments of medical decision-making involving patients with DoC.
103 s to bill according to time spent instead of medical decision-making (MDM) level for fee-for-service
104 t, for some, faith is an important factor in medical decision making, more so than even the efficacy
112 ot be understood, which renders their use in medical decision making problematic and can lead to ethi
113 hical obligations to involve children in the medical decision-making process as much as the child's c
115 can incorporate real-world evidence in their medical decision-making process when considering treatme
119 t the selection of supportive care, informed medical decision-making, prognostic considerations, repr
120 ethicists, and 41 percent of the experts in medical decision making recommended offering the less ef
123 sician should consider the family's costs in medical decision-making than families without a medical
124 had higher odds of feeling comfortable with medical decision-making than junior faculty (odds ratio
126 he benefits of recently adopted practices in medical decision making that prioritize full decisional
129 ve jurors, medical ethicists, and experts in medical decision making to choose between two screening
130 ng patterns of correlations and relevance to medical decision making to create a 5-item version.
131 s from a largely physician-directed model of medical decision-making to a collaborative model, which
133 decisions, in part because current models of medical decision making treat the surrogate as the exper
134 been a greater need to enforce evidence-led medical decision-making using available health care data
135 sets to predict surgical outcomes and inform medical decision making, which requires significantly le
137 t rights and the role of prison employees in medical decision-making with respect to these two themes
138 ss, with patient-clinician communication and medical decision-making within a racialized health care
139 g (ACP) prepares patients and caregivers for medical decision-making, yet it is underused in the peri