... estimates of prognosis, with the goal of making the EOL-CI a more a valuable tool at the point of care for identifying patients who would benefit from targeted palliative care interventions and proactive care planning. palliative care electronic health records prognosis clinical decision-making National...

... for the aged text messaging pattern recognition automated clinical decision-making communication ontology taxonomy LLM National Institute on Aging 10.13039/100000049 National Institutes of Health 10.13039/100000002 R01AG078281 Controlled Terminologies such as the Systematized Nomenclature...

... treatment outcomes. Its methodology offers a robust approach for adaptive, personalized strategies in various complex and uncertain environments. health care AI clinical decision-making reinforcement learning (RL) adversarial imitation learning imitation learning (IL) National Research Foundation...

... Clinical Decision Making Educational Interventions Student Physical Therapists Physical Therapists Clinical reasoning (CR) is a critical attribute in physical therapy that is “central to the practice of professional autonomy.” ¹ Current research highlights the importance of developing...

... the extent of resection, a crucial prognostic factor often overlooked. By accurately predicting individual patient outcomes, this tool enhances clinical decision-making and facilitates personalized treatment strategies. The accompanying online calculator makes the nomogram readily accessible to clinicians...

... of various lung cancer scenarios, as identified and discussed by prominent experts in oncology at the recent conference “Bridging the Gaps in Lung Cancer.” clinical decision-making controversies unanswered questions lung cancer diagnosis lung cancer treatment lung cancer management Implications...

... of treatment. This subgroup analysis assessed the utility of longitudinal serial cardiac magnetic resonance (CMR) imaging for tracking clinical improvement and predicting post-treatment cessation outcomes to help guide clinical decision-making. Methods and results At an 18-month decision milestone (18MDM...

...) and internal-surgery dataset (ISD). An artificial intelligence-based model for treatment recommendation for patients with localized prostate cancer was developed and is reported here. prostate cancer clinical decision-making artificial intelligence radiotherapy surgery Construction Projects Funding...

... management plans that can result in significant morbidity and even mortality. In this article, we discuss the psychological constructs of clinical reasoning in the form of cognitive ‘thought processing’ models and real-world contextual or emotional influences on clinical decision-making. In addition, we...

... outcomes and reduce healthcare burdens. chronic kidney disease clinical decision-making dialysis preparation end-stage kidney disease prediction vascular access planning Video Abstract 10.1093/ckj/sfae220 Video Abstract Watch the video abstract of this contribution https://dbpia.nl.go.kr/ckj...

... pulmonary embolism in the overall population and clinically relevant patient subgroups. (NT-pro)BNP, (N-terminal pro–)B-type natriuretic peptide; PE, pulmonary embolism; VTE, venous thromboembolism. Pulmonary embolism Emergency care Outpatient care Clinical decision-making Early discharge See...

... language models have the potential to assist physicians in the decision-making process when encountering a difficult ethical decision. artificial intelligence clinical decision-making ethics judgement morals A total of 100 complete iterations of the MCT were performed and equally distributed...

...-reuse-rights ) clinical decision-making drug safety EKG electrocardiography pharmacists’ role QTc prolongation torsades de pointes How do you calculate a corrected QT interval (QTc)? What method is used by automated electrocardiogram (EKG) machines at your institution? Which formula should you...

... measures with non-IS-supported care (n = 248). Figure 2. Study selection process. Information systems (ISs) have been posited as a potential solution to enhance clinical decision-making. ISs encompass any technical system that generates information enabling decision-makers to identify problems...

... of IBD-M were presented by IBD specialists from 19 different hospitals, practices, or academic centers—18 (94.7%) within the United States and 1 international. Graphical Abstract Graphical Abstract clinical decision-making Crohn’s disease inflammatory bowel disease (IBD) IBD mimics (IBD-M...

... caused by false positives in clinical decision-making. Abstract Background Many medical graduate students lack a thorough understanding of decision curve analysis (DCA), a valuable tool in clinical research for evaluating diagnostic models. Methods This article elucidates the concept and process...

... cited. Abstract Background Glioblastoma is a malignant brain tumor requiring careful clinical monitoring even after primary management. Personalized medicine has suggested the use of various molecular biomarkers as predictors of patient prognosis or factors utilized for clinical decision-making...

... values are model artifacts not relevant for clinical decision-making. So, we removed references to values used by the model to classify risk. 13 Use terminology that matches the oncologist’ world view. Initially, we used “low” and “high” risk [of mortality] on a survival % graphic, creating...

... binary outcomes, and logistic regression was the most frequently used model (25.0%, or 18/72). Various types of neural networks were used in 26.4% (19/72) of the studies. clinical decision-making distributed algorithms distributed learning electronic health records federated learning Duke-NUS...