SHEVSLABEL TECHNOLOGIES
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Healthcare technology insights
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August 15, 2026
How Specialized AI Data Annotation is Transforming Healthcare, Life Sciences, Insurance, and Clinical Research
Artificial intelligence has rapidly evolved from an emerging technology into a strategic business necessity. Across healthcare, life sciences,…
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October 17, 2026
Building Better Oncology AI: Why Digital Pathology, Medical Imaging and Clinical Data Must Work Together
SCILabel Insights | Oncology AI & Multimodal Healthcare Data | 7-minute read Artificial intelligence is creating new possibilities…
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September 16, 2026
From Raw ECG Signals to AI-Ready Data: How SCILabel Built and Validated an ECG Beat Classification Pipeline
Turning Sample ECG Recordings into Validated, Model-Ready Data for Healthcare AI Building an AI model for ECG analysis…
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September 10, 2026
Annotating Surgical and Endoscopic Video: Phases, Instruments and Critical Events
Surgical and endoscopic videos are becoming an important source of training data for artificial intelligence (AI), computer vision,…
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September 4, 2026
ECG, EEG and Wearable Signals: How Physiological Data Becomes AI Training Data
Physiological data is one of the most important—and increasingly valuable—sources of information for healthcare AI. While medical AI…
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August 28, 2026
Annotating Whole-Slide Pathology Images: Tissue, Tumour, Cell and Biomarker Labels Explained
Introduction Digital pathology is changing how pathology images are stored, reviewed, analysed, and used for research. Through whole-slide…
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