AIMC Topic: Research Design

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A Multitask Approach to Learn Molecular Properties.

Journal of chemical information and modeling Jul 21, 2021
The endeavors to pursue a robust multitask model to resolve intertask correlations have lasted for many years. A multitask deep neural network, as the most widely used multitask framework, however, experiences several issues such as inconsistent perf...
Machine Learning Research Design Neural Networks, Computer
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Machine learning to analyze single-case graphs: A comparison to visual inspection.

Journal of applied behavior analysis Jul 15, 2021
Behavior analysts commonly use visual inspection to analyze single-case graphs, but studies on its reliability have produced mixed results. To examine this issue, we compared the Type I error rate and power of visual inspection with a novel approach-...
Machine Learning Humans Reproducibility of Results Research Design
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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.

BMJ open Jul 9, 2021
INTRODUCTION: The Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias ASsessment Tool (PROBAST) were both published to improve the reporting and criti...
Artificial Intelligence Research Design Bias Humans Risk Assessment Prognosis Checklist
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Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved.

Journal of clinical epidemiology Jun 29, 2021
OBJECTIVE: Evaluate the completeness of reporting of prognostic prediction models developed using machine learning methods in the field of oncology.
Machine Learning Humans Prognosis Research Design Guidelines as Topic Biomedical Research Models, Statistical Medical Oncology
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Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.

BMJ open Jun 28, 2021
INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not addre...
Diagnostic Tests, Routine London Research Report Humans Research Design Artificial Intelligence
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Editorial: Artificial Intelligence (AI) in Clinical Medicine and the 2020 CONSORT-AI Study Guidelines.

Medical science monitor : international medical journal of experimental and clinical research Jun 28, 2021
Artificial intelligence (AI) in clinical medicine includes physical robotics and devices and virtual AI and machine learning. Concerns have been raised regarding ethical issues for the use of AI in surgery, including guidance for surgical decisions, ...
Clinical Medicine Ethics, Clinical Practice Guidelines as Topic Artificial Intelligence Humans Surgical Procedures, Operative Research Design
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A smart LED therapy device with an automatic facial acne vulgaris diagnosis based on deep learning and internet of things application.

Computers in biology and medicine Jun 26, 2021
In low-level laser therapy, providing an optimal dosage and proposing a proper diagnosis before dermatological treatment are essential to reduce the side effects and potential dangers. In this article, a smart LED therapy system for automatic facial ...
Deep Learning Humans Acne Vulgaris Research Design Internet of Things
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Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

Computers in biology and medicine Jun 23, 2021
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of systematic comparisons of state-of-the-art deep learning object detecti...
Diabetes Mellitus Diabetic Foot Deep Learning Algorithms Humans Research Design
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Automated and enabling technologies for medicinal chemistry.

Progress in medicinal chemistry Jun 7, 2021
Having always been driven by the need to get new treatments to patients as quickly as possible, drug discovery is a constantly evolving process. This chapter will review how medicinal chemistry was established, how it has changed over the years due t...
Pharmaceutical Preparations Research Design Chemistry, Pharmaceutical Artificial Intelligence Drug Discovery
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A Deep Learning-Based Unsupervised Method to Impute Missing Values in Patient Records for Improved Management of Cardiovascular Patients.

IEEE journal of biomedical and health informatics Jun 3, 2021
Physicians increasingly depend on electronic health records (EHRs) to manage their patients. However, many patient records have substantial missing values that pose a fundamental challenge to their clinical use. To address this prevailing challenge, ...
Electronic Health Records Deep Learning Research Design Humans
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