Acquire, Create & Annotate Medical Data At Scale for Your AI
Acquiring and interpreting vast amounts of unstructured medical data is challenging. From doctor prescriptions to complex CT scans, GDPR & HIPAA policies hinder annotations at scale due to lack of privacy protocols. Moreover high acquisition costs result in fewer quality data and ultimately inaccurate AI diagnoses.
Lack of quality data, manual data labeling and inaccurate annotations lead to critical diagnostic errors, which delay government approvals. Also, the stakes are exceptionally high, and a single data misinterpretation could risk lives.
At Annotation Labs, we transform raw, unstructured medical data into high-quality, accurately annotated videos, texts and images. Our Human in the Loop scalable data solutions enable precise curation of data ensuring that every process complies with industry-leading privacy and regulatory protocols.
Medical Object Detection 
Text Annotation 
Medical Video Labeling Sentiment Analysis & NLP Waveform Classification Audio Tagging 
Data annotation of retinal images to train models that detect and monitor eye diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration, facilitating early intervention and treatment planning.
Annotating skin lesion images to train AI systems for identifying different skin cancer types, such as melanoma, to support dermatologists in early detection, fast-tracking diagnosis and making decisions about biopsy needs.
We label CT scans to train AI models to identify & diagnose COVID-19, neurological disorders, and breast cancer faster. Such models also facilitate early detection strokes or internal bleeding that require immediate attention.
Labeled ECG reports train models to detect arrhythmias or other cardiac abnormalities automatically. Such AI models continuously monitor heart rates that can alert medical staff for potential cardiac events much in advance.
Annotating audio records of patient responses & interactions with doctors and video recordings of their behaviours help train models that help in assessing mental health conditions, providing insights for therapy and treatments.
Meticulously labeling dental imagery such as X-rays, CT scans, and 3D models to train AI algorithms to identify and diagnose conditions like cavities, gum disease, and misalignments, enhancing diagnostic accuracy.
Annotating cell images from biopsy samples to train AI models that can assist pathologists in identifying cancerous cells vs. normal cells, significantly speeding up the diagnosis process and improving accuracy.
Our workforce is assisted and overlooked by medical professionals and doctors ensuring 100% accurate annotations
Stringent regulatory and security standards necessary with adherence to HIPAA & GDPR regulations.
Each client benefits from a dedicated manager, ensuring personalized oversight and alignment of progress with client goals
We deliver high-quality, scalable data solutions that meet the stringent demands of global-level AI & ML projects
Our services are SLAs & KPIs driven, which guarantee reliability and timely delivery according to your specifications
Tailored solutions designed to maximise efficiency and reduce costs, ensuring the best value for your technology expenses
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We’d love the opportunity to answer your questions or learn more about your project. Let us know how we can help.
Our team is happy to offer advice and answer your questions about Generative AI, NLP & Data Labeling Solutions