AIMC Topic: Decision Making
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Predicting pathological outcomes in patients undergoing robot-assisted radical prostatectomy for high-risk prostate cancer: a preoperative nomogram.
BJU international
May 11, 2015
OBJECTIVE: To identify which high-risk patients with prostate cancer may harbour favourable pathological outcomes at radical prostatectomy (RP).
Does Robotic Telerounding Enhance Nurse-Physician Collaboration Satisfaction About Care Decisions?
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
May 4, 2015
BACKGROUND: Delivering healthcare using remote robotic telepresence is an evolving practice in medical and surgical intensive critical care units and will likely have varied implications for work practices and working relationships in intensive care ...
How to decide which infant can have robotic surgery? Just do the math.
Journal of pediatric urology
Mar 4, 2015
BACKGROUND: In pediatric urology, robot-assisted surgery has overcome several impediments of conventional laparoscopy. However, workspace has a major impact on surgical performance. The limited space in an infant can significantly impede the mobility...
Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG study.
BMC medical genomics
Feb 7, 2015
BACKGROUND: Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological characteristics, clinicians will have to face an increasing amount of data derived from tumor molecular...
Gene Expression Regulation, Neoplastic
Databases, Genetic
Fuzzy Logic
Neoplasm Invasiveness
Humans
Breast Neoplasms
Prognosis
Algorithms
Decision Making
Gene Expression Profiling
Female
Cohort Studies
Neoplasm Recurrence, Local
Reproducibility of Results
Precision Medicine
Computational Biology
Oligonucleotide Array Sequence Analysis
Sensitivity and Specificity
Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals.
IEEE transactions on neural networks and learning systems
Dec 18, 2014
Penetration of renewable energy resources, such as wind and solar power, into power systems significantly increases the uncertainties on system operation, stability, and reliability in smart grids. In this paper, the nonparametric neural network-base...
Stable feature selection for clinical prediction: exploiting ICD tree structure using Tree-Lasso.
Journal of biomedical informatics
Dec 9, 2014
Modern healthcare is getting reshaped by growing Electronic Medical Records (EMR). Recently, these records have been shown of great value towards building clinical prediction models. In EMR data, patients' diseases and hospital interventions are capt...
Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making.
Journal of neuroscience methods
Oct 18, 2014
BACKGROUND: The information obtained from signal recorded with extracellular electrodes is essential in many research fields with scientific and clinical applications. These signals are usually considered as a point process and a spike detection meth...
Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations.
Environmental science and pollution research international
Oct 5, 2014
Biological oxygen demand (BOD) is the most significant water quality parameter and indicates water pollution with respect to the present biodegradable organic matter content. European countries are therefore obliged to report annual BOD values to Eur...
Moral psychological exploration of the asymmetry effect in AI-assisted euthanasia decisions.
Cognition
Sep 1, 2025
A recurring discrepancy in attitudes toward decisions made by human versus artificial agents, termed the Human-Robot moral judgment asymmetry, has been documented in moral psychology of AI. Across a wide range of contexts, AI agents are subject to gr...
Approach or avoidance? Relationship between perceived AI explainability and employee job crafting.
Acta psychologica
Jul 1, 2025
Amid growing concerns about the lack of transparency in algorithms, heightened focus has been placed on artificial intelligence (AI) explainability in workplace decision-making processes. This study leverages work design theory to explore when and ho...
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