AIMC Topic: Cost-Benefit Analysis

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Robot-assisted Versus Open Radical Cystectomy in Bladder Cancer: An Economic Evaluation Alongside a Multicentre Comparative Effectiveness Study.

European urology focus Jun 24, 2021
BACKGROUND: Open radical cystectomy (ORC) is regarded as the standard treatment for muscle-invasive bladder cancer, but robot-assisted radical cystectomy (RARC) is increasingly used in practice. A recent study showed that RARC resulted in slightly fe...
Humans Prospective Studies Robotics Cost-Benefit Analysis Cystectomy Postoperative Complications Treatment Outcome Urinary Bladder Neoplasms Urinary Bladder
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[Medico-economic evaluation of the impact of measures to adapt to the switch to surgery robot-assisted in urology].

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie Jun 18, 2021
INTRODUCTION: The development of robot-assisted urological surgery is held back by the lack of robust medico-economic analyses and their heterogeneity. We conducted a medico-economic study to evaluate the implementation of measures to optimize the tr...
Cost-Benefit Analysis Urology Robotics Humans Laparoscopy Robotic Surgical Procedures
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Cost Effectiveness of an Electrocardiographic Deep Learning Algorithm to Detect Asymptomatic Left Ventricular Dysfunction.

Mayo Clinic proceedings Jun 9, 2021
OBJECTIVE: To evaluate the cost-effectiveness of an artificial intelligence electrocardiogram (AI-ECG) algorithm under various clinical and cost scenarios when used for universal screening at age 65.
Humans Middle Aged Artificial Intelligence Deep Learning Algorithms Electrocardiography Female Quality-Adjusted Life Years Aged Ventricular Dysfunction, Left Mass Screening Male Asymptomatic Diseases Cost-Benefit Analysis Markov Chains
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CCFS: A Confidence-Based Cost-Effective Feature Selection Scheme for Healthcare Data Classification.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Feature selection (FS) is one of the fundamental data processing techniques in various machine learning algorithms, especially for classification of healthcare data. However, it is a challenging issue due to the large search space. Binary Particle Sw...
Medical Informatics Databases, Factual Cost-Benefit Analysis Humans Machine Learning Algorithms
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Economic evaluation of robot-assisted training versus an enhanced upper limb therapy programme or usual care for patients with moderate or severe upper limb functional limitation due to stroke: results from the RATULS randomised controlled trial.

BMJ open May 25, 2021
OBJECTIVE: To determine whether robot-assisted training is cost-effective compared with an enhanced upper limb therapy (EULT) programme or usual care.
State Medicine Upper Extremity London Stroke Cost-Benefit Analysis Quality-Adjusted Life Years Quality of Life Robotics Humans
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Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review.

Diagnostic pathology Mar 17, 2021
BACKGROUND: The role of Artificial intelligence (AI) which is defined as the ability of computers to perform tasks that normally require human intelligence is constantly expanding. Medicine was slow to embrace AI. However, the role of AI in medicine ...
Humans Artificial Intelligence Reproducibility of Results Attitude of Health Personnel Image Interpretation, Computer-Assisted Practice Patterns, Physicians' Health Care Costs Pathologists Pathology Microscopy Health Knowledge, Attitudes, Practice Attitude to Computers Cost-Benefit Analysis Predictive Value of Tests
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Artificial intelligence, machine learning, and drug repurposing in cancer.

Expert opinion on drug discovery Feb 12, 2021
: Drug repurposing provides a cost-effective strategy to re-use approved drugs for new medical indications. Several machine learning (ML) and artificial intelligence (AI) approaches have been developed for systematic identification of drug repurposin...
Cost-Benefit Analysis COVID-19 Drug Treatment Genomics Drug Development Artificial Intelligence Drug Repositioning Machine Learning Antineoplastic Agents Neoplasms Big Data Humans
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Machine learning-guided discovery and design of non-hemolytic peptides.

Scientific reports Oct 6, 2020
Reducing hurdles to clinical trials without compromising the therapeutic promises of peptide candidates becomes an essential step in peptide-based drug design. Machine-learning models are cost-effective and time-saving strategies used to predict biol...
Pore Forming Cytotoxic Proteins Machine Learning Drug Design Amino Acid Sequence Cost-Benefit Analysis Hemolysis
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Robotic Hepatectomy Is a Safe and Cost-Effective Alternative to Conventional Open Hepatectomy: a Single-Center Preliminary Experience.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract Oct 1, 2020
Liver Neoplasms Cost-Benefit Analysis Robotics Humans Hepatectomy Robotic Surgical Procedures
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Active Learning Plus Deep Learning Can Establish Cost-Effective and Robust Model for Multichannel Image: A Case on Hyperspectral Image Classification.

Sensors (Basel, Switzerland) Sep 2, 2020
Relying on large scale labeled datasets, deep learning has achieved good performance in image classification tasks. In agricultural and biological engineering, image annotation is time-consuming and expensive. It also requires annotators to have tech...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Cost-Benefit Analysis Algorithms Deep Learning
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