Medical Data Annotation Services
We assist the healthcare industry in leveraging the power of artificial intelligence by supplying it with high quality medical annotated data. This ensures precision in surgical, diagnostic, and medical operations. You can use our medical data annotation expertise to create high quality healthcare training data for facilitating the development of AI-powered healthcare applications.
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Better and Faster Medical Labeling Services
As AI and deep learning technology become more widespread in the healthcare sector, the opportunity for automation in many fields will expand. Surgeries, diagnostics, treatment prediction, gene sequencing, and drug development are among them. We can be your ally in setting you on the path for better and faster medical AI. You can use a smart data infrastructure for efficient and accurate AI integration into healthcare processes with well-trained machine learning models, Internet of Medical Things (IoMT), and applications.
Importance of High Quality Healthcare Training Data
Data protection laws and limited access to healthcare data makes it difficult to find high-quality medical datasets. Datasets are usually built in-house or outsourced from healthcare facilities by most companies. We make it easy for our customers to focus on their core competency by leveraging high-quality machine learning healthcare data (datasets and training data) to build powerful AI applications.
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Images
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Photos
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Videos
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Ultrasound
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X-Rays
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CT Scan
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MRI
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DICOM
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NIFTI
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ECG
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EEG
Medical Annotation Services
We assist AI algorithms with high-quality training data for developing automated healthcare systems and applications. We possess a network of radiologists, pathologists, ophthalmologists, dermatologists, and general physicians for providing our annotators with the much needed assistance for medical video annotation that goes into healthcare AI.
Image Annotation
Helping medical AI with training data derived from X-rays, CT scans, MRIs, etc., for AI-powered models and applications to improve medical practice, clinical management, and healthcare delivery.
Video Annotation
Bolstering virtual healthcare delivery and medical learning through classification, categorization, and segmentation of regions of interest in medical videos such as recorded surgical procedures.
Audio Annotation
Harnessing NLP expertise to appropriately annotate & label audio data for developing voice-assistant systems for smooth clinical practice and to infuse AI in other voice-enabled healthcare products.
Waveform Annotation
Using data annotation & labeling to classify features and segment regions of interests within waveforms for training predictive algorithms & AI models that detect acute heart diseases and neurological conditions.
AI Medical Coding
Medical coding involves the conversion of healthcare diagnoses, procedures, medical services, and equipment into universal medical alphanumeric codes. Codes for diagnoses and procedures are derived from medical records.
Text Annotation
Quickly organize and enrich large amounts of text data for developing medical AI with accurately annotated & labeled text strings, hand-written notes, prescriptions, insurance verification reports, etc.
Medical Image Annotation Use Cases
A number of medical processes and AI training data can be used to design cutting-edge AI and ML algorithms for use in healthcare automation. Here are the use cases to get insight:
Radiology
AI mechanisms trained with structured and annotated machine learning data of patients’ X-Rays, CT scans, and MRIs are helping predict various conditions.
Pathology
Computation through Artificial Intelligence in Pathology to streamline the detection and diagnosis of acute disease symptoms.
Dermatology
Machine learning training data labeled with dermatological conditions are prepared for AI tools to detect dermatological conditions.
CT Coronary Angiogram Scans
This test is carried out for detecting narrowed or blocked heart arteries. This test can also be used for early detection of other heart conditions.
Ophthalmology
With AI dawning, the studies and treatment related to Ophthalmology have opened opportunities to scale detection procedures.
Cardiology
By using AI in cardiology, interpreting echocardiograms for detecting the presence of heart disease has become decisive.
Dentistry
Upgraded imaging methods have now been incorporated into dentistry to ensure heightened efficiency and reliable treatment.
Clinical Session Recording
Identifying intonation, emotion, symptoms, and medications discussed in clinical interactions to enhance the quality of wellness and behavioral health services.
Health Insurance
Providing healthcare practitioners and payers with data expertise to incorporate AI into insurance disbursement, claims processing, and underwriting.
Your Data Support for Cutting-Edge Medical AI
Data experts at Cogito are well-versed in capturing and enriching speech, texts, images, and videos and remodeling unstructured medical datasets in a usable format for AI algorithms. The flexible data we provide facilitates the development of medical AI that is more accurate, scalable, and cost-effective.