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PICO

The proliferation of healthcare data has contributed to the widespread usage of the PICO paradigm for creating specific clinical questions from RCT.

PICO is a mnemonic that stands for:

Population/Problem: Addresses the characteristics of populations involved and the specific characteristics of the disease or disorder. Intervention: Addresses the primary intervention (including treatments, procedures, or diagnostic tests) along with any risk factors. Comparison: Compares the efficacy of any new interventions with the primary intervention. Outcome: Measures the results of the intervention, including improvements or side effects. PICO is an essential tool that aids evidence-based practitioners in creating precise clinical questions and searchable keywords to address those issues. It calls for a high level of technical competence and medical domain knowledge, but it’s also frequently very time-consuming.

Automatically identifying PICO elements from this large sea of data can be made easier with the aid of machine learning (ML) and natural language processing (NLP). This facilitates the development of precise research questions by evidence-based practitioners more quickly and precisely.

Empirical studies have shown that the use of PICO frames improves the specificity and conceptual clarity of clinical problems, elicits more information during pre-search reference interviews, leads to more complex search strategies, and yields more precise search results.

Papers

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Showing 1–50 of 68 papers

TitleStatusHype
PiCO+: Contrastive Label Disambiguation for Robust Partial Label LearningCode2
LinkBERT: Pretraining Language Models with Document LinksCode2
PiCO: Peer Review in LLMs based on the Consistency OptimizationCode1
Contrastive Label Disambiguation for Partial Label LearningCode1
Simulating single-photon detector array sensors for depth imagingCode1
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical EvidenceCode1
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering TasksCode1
Towards Effective Visual Representations for Partial-Label LearningCode1
Predicting Clinical Trial Results by Implicit Evidence IntegrationCode1
Multi-Agent Path Finding with Prioritized Communication LearningCode1
Co-existence of Micro, Pico and Atto Cells in Optical Wireless Communication—0
Comparative study on supervised learning methods for identifying phytoplankton species—0
Compressive Initial Access and Beamforming Training for Millimeter-Wave Cellular Systems—0
Context-Aware Mobility Management in HetNets: A Reinforcement Learning Approach—0
Cost-Effective Robotic Handwriting System with AI Integration—0
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems—0
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework—0
Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study—0
Extracting PICO elements from RCT abstracts using 1-2gram analysis and multitask classification—0
HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations—0
Impact of detecting clinical trial elements in exploration of COVID-19 literature—0
Unlocking the Power of Deep PICO Extraction: Step-wise Medical NER Identification—0
3D Scene Inference from Transient Histograms—0
Adaptive antenna system by ESP32-PICO-D4 and its application to web radio system—0
Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node—0
A Sequential Concept Drift Detection Method for On-Device Learning on Low-End Edge Devices—0
A Span-based Model for Extracting Overlapping PICO Entities from RCT Publications—0
A Study on Agreement in PICO Span Annotations—0
A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction—0
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey—0
Automated monitoring of bee colony movement in the hive during winter season—0
Low-complexity Three-dimensional Discrete Hartley Transform Approximations for Medical Image Compression—0
Medical Entity Corpus with PICO elements and Sentiment Analysis—0
Novel 3D Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels—0
Modeling Adaptive Fine-grained Task Relatedness for Joint CTR-CVR Estimation—0
PiCo: Enhancing Text-Image Alignment with Improved Noise Selection and Precise Mask Control in Diffusion Models—0
PiCo: Jailbreaking Multimodal Large Language Models via Pictorial Code Contextualization—0
Pico-Newton mechanical forces promote neurite growth—0
PICO: Primitive Imitation for COntrol—0
PICO: Reconstructing 3D People In Contact with Objects—0
PICO: Secure Transformers via Robust Prompt Isolation and Cybersecurity Oversight—0
Pixel-level Correspondence for Self-Supervised Learning from Video—0
Programmable Turbine Failsafe System for Pico-Hydroelectric Power in the Nepal Himalayas—0
Recent Advances in Transient Imaging: A Computer Graphics and Vision Perspective—0
Requirements Engineering for Older Adult Digital Health Software: A Systematic Literature Review—0
Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition—0
Synthetic CT image generation from CBCT: A Systematic Review—0
Intra-Template Entity Compatibility based Slot-Filling for Clinical Trial Information Extraction—0
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