Medical AI Data Solutions
High-quality training data to automate clinical processes with Medical AI, and machine learning for improved healthcare delivery, diagnostics, and drug discovery with predictive analyticsContact Us Now
Your Path to Better & Faster Medical AI
Let Cogito be your ally to set your path to better & faster medical AI. Utilize 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.
Medical Data Annotation & Labeling
Cogito combines human intelligence with automated applications to deliver accurate training data and accelerate the time to market healthcare space with model-, process-, and application-specific medical AI. Here are some of the data annotation capabilities we offer:
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.
Bolstering virtual healthcare delivery and medical learning through classification, categorization, and segmentation of regions of interest in medical videos such as recorded surgical procedures.
Harnessing natural language processing 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.
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 documentation in medical records..
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:
AI mechanisms trained with structured and annotated machine learning data of patients’ X-Rays, CT scans, and MRIs are helping predict various conditions.
Computation through Artificial Intelligence in Pathology to streamline the detection and diagnosis of acute disease symptoms.
Machine learning training data labeled with dermatological conditions are prepared for AI tools to detect dermatological conditions.
Upgraded imaging methods have now been incorporated into dentistry to ensure heightened efficiency and reliable treatment.
With AI dawning, the studies and treatment related to Ophthalmology have opened opportunities to scale detection procedures.
By using AI in cardiology, interpreting echocardiograms for detecting the presence of heart disease has become decisive.
Clinical Session Recording
Identifying intonation, emotion, symptoms, and medications discussed in clinical interactions to enhance the quality of wellness and behavioral health services.
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.