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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
48 omparative-effectiveness research and shared medical decision-making after neurologic injury.
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
56                                              Medical decision making and scientific communication aro
57 y and the general public about mechanisms of medical decision making and the interplay of physician a
58 y tested to better engage patients in shared medical decision making and to improve outcomes.
59 ted that 1985 images (55.1%) were useful for medical decision-making and 2239 (62.2%) were of suffici
60      Prescription medication costs influence medical decision-making and affect adherence.
61 ntion on the need for greater objectivity in medical decision-making and led to the Cochrane Collabor
62 ase activity is challenging yet important to medical decision-making and patient outcomes.
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
65 c stewardship and the general improvement of medical decision making are discussed.
66 s, high-value biomarker strategies to inform medical decision-making are critical.
67                  In this paper, we formulate medical decision making as a classification problem and
68                                              Medical decision-making at the time of organ allocation
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
73         Increasing rigor is being applied to medical decision making, but myasthenia gravis, commonly
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
77 o assist physicians in making assessments of medical decision-making capacity.
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
85 y interests should play an important role in medical decision making for incompetent patients.
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
88               This work will begin to inform medical decision-making for patients and their physician
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
91  to safety or clinical effectiveness; hence, medical decision making has grown in complexity.
92                The trustworthiness of AI for medical decision making in global health and low-resourc
93 nostic implications and substantially impact medical decision making in the patient with cancer.
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
96                                              Medical decision-making in stroke patients can be comple
97    It also provides references for assisting medical decision-making in the future.
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.
100              The role of family interests in medical decision making is controversial.
101                   Specifically, the previous medical decision-making literature on transplantation wi
102         Increasing patient responsibility in medical decision making may decrease the patient's willi
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
105 ined as a new patient office visit requiring medical decision-making of low complexity.
106          Imaging plays a central role in the medical decision-making of patients with chronic aortic
107             Gathering observational data for medical decision-making often involves uncertainties ari
108  (high quality directly impacted navigation, medical decision-making, or patient care).
109                                              Medical decision-making preferences (DMPs) were prospect
110                       Single-item measure of medical decision-making preferences, MyCHATT, and Lyon F
111                       Machine learning-aided medical decision making presents three major challenges:
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
114                            Understanding the medical decision-making process that these patients use
115 can incorporate real-world evidence in their medical decision-making process when considering treatme
116 a from the emergency department to train the medical decision-making process.
117                        Little is known about medical decision-making processes for hospitalized incar
118 procedures to assist dermatologists in their medical decision-making processes.
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
121                                     A common medical decision-making scenario involves estimating the
122 e exhibit an illusory understanding of human medical decision-making (study 1).
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
125 hildren are more capable of participating in medical decision-making than previously thought.
126 he benefits of recently adopted practices in medical decision making that prioritize full decisional
127                 An approach to collaborative medical decision-making that is goal-directed is recomme
128                         Even many experts in medical decision making -- those often responsible for c
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
132             Decision tree representations of medical decision-making tools can be generated using dia
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
136 to support the building of relationships and medical decision making while decreasing workload.
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

 
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