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ShareScore release 0.9.0
Dataset results
59 results for “Machine intelligence”
Artificial Intelligence and Machine Learning to Guide CDK4/6 Inhibitor Rechallenge in Breast Cancer.
ClinicalTrials.gov study NCT07227233. IPD Sharing: NO. Countries: 1. Publications: 1.
Artificial Intelligence-Based Analysis of Uroflowmetry Patterns in Children: a Machine Learning Perspective
ClinicalTrials.gov study NCT06814847. IPD Sharing: NO. Countries: 1. Publications: 1.
Real-world Clinical Study and Medical Machine Intelligence Study for Traditional Chinese Internal Medicine
ClinicalTrials.gov study NCT03274908. IPD Sharing: NO. Countries: 1. Publications: 3.
Artificial Intelligence-Based Machine Learning to Diagnose and Classify Adenomyosis from Ultrasound Scans: a Multicentre Model Development Study
ClinicalTrials.gov study NCT06765512. IPD Sharing: NO. Countries: 1. Publications: 19.
Development and validation of a machine learning model for use as an automated artificial intelligence tool to predict mortality risk in patients with COVID-19
<p><strong>Background</strong></p> <p>New York City quickly became an epicenter of the COVID-19 pandemic. Due to a sudden and massive increase in patients during COVID-19 pandemic, healthcare providers incurred an exponential increase in workload which created a strain on the staff and limited resources. As this is a new infection, predictors of morbidity and mortality are not well characterized.</p> <p><strong>Methods</strong></p> <p>We developed a prediction model to predict patients at risk for mortality using only laboratory, vital and demographic information readily available in the electronic health record on more than 3000 hospital admissions with COVID-19. A variable importance algorithm was used for interpretability and understanding of performance and predictors.</p> <p><strong>Findings</strong></p> <p>We built a model with 84-97% accuracy to identify predictors and patients with high risk of mortality, and developed an automated artificial intelligence (AI) notification tool that does not require manual calculation by the busy clinician. Oximetry, respirations, blood urea nitrogen, lymphocyte percent, calcium, troponin and neutrophil percentage were important features and key ranges were identified that contributed to a 50% increase in patients’ mortality prediction score. With an increasing negative predictive value (NPV) starting 0.90 after the second day of admission, we are able more confidently able identify likely survivors. This study serves as a use case of a model with visualizations to aide clinicians with a better understanding of the model and predictors of mortality. Additionally, an example of the operationalization of the model via an AI notification tool is illustrated.</p>
Ghost in the machine or monkey with a typewriter - generation of Christmas BMJ titles using artificial intelligence: an observational study
<p>Datasets and analysis scripts used in this paper</p>
Data for: Machine Intelligence-Accelerated Discovery of All-Natural Plastic Substitutes
<p>Data for: Machine Intelligence-Accelerated Discovery of All-Natural Plastic Substitutes</p>
Preventing Medication Dispensing Errors in Pharmacy Practice With Interpretable Machine Intelligence
ClinicalTrials.gov study NCT06245044. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Figure 23 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 23. Responses to the jumping spider, high detail text prompt by the OpenAI DALL-E 2 engine (#10).
Figure 12 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 12. Responses to the jumping spider, high detail text prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Feasibility and Utility of Artificial Intelligence (AI) / Machine Learning (ML) - Driven Advanced Intraoperative Visualization and Identification of Critical Anatomic Structures and Procedural Phases
ClinicalTrials.gov study NCT05775133. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of the Use of Machine Learning Techniques to Classify Neurodegenerative PARKinsonian Syndromes (Artificial Intelligence)
ClinicalTrials.gov study NCT05080296. IPD Sharing: Not stated. Countries: 1. Publications: 0.
COVID-19 Infection and Machine Learning Using Artificial Intelligence (AI)
ClinicalTrials.gov study NCT04756518. IPD Sharing: NO. Countries: 1. Publications: 0.
Response Prediction to Neoadjuvant Chemoradiation in Esophageal Cancer Using Artificial Intelligence & Machine Learning
ClinicalTrials.gov study NCT04489368. IPD Sharing: NO. Countries: 2. Publications: 0.
Data for: Machine Intelligence Accelerated Design of Conductive MXene Aerogels with Programmable Properties
Open the record for dataset details and reuse information.
Figure 19 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 19. Responses to the jumping spider, high detail text prompt by the Simplified engine (#9).
Figure 3 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 3. Responses to the jumping spider, high detail text prompt by the DeepAI engine (#2).
A Clinical Trial to Evaluate the Efficacy of the Morley Medical Sepsis (MMS) Software Device in Predicting Sepsis in Adult Patients Using Artificial Intelligence (AI) Machine Learning Algorithms
ClinicalTrials.gov study NCT04606862. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Machine Learning and Artificial Intelligence Algorithms to Optimize the Performance and Delivery of Acute Dialysis
ClinicalTrials.gov study NCT07312929. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.