Enhancing Care with Accurate, Ethical AI Solutions
In healthcare, accuracy and privacy are paramount. At Jeenish AI Solutions, we empower AI teams in medical and life sciences to develop reliable, safe, and interpretable models by providing structured, high-quality training data with strict compliance standards. Our multilingual teams, trained medical annotators, and secure pipelines help power clinical decision-making, diagnostics, documentation, and patient interaction tools.
Medical Transcription & Voice-to-Text Annotation
We transcribe doctor-patient conversations, clinical notes, and diagnostic discussions using clean, timestamped transcription, preserving accuracy while removing irrelevant noise. Speaker labeling distinguishes between clinicians, patients, or specialists.
Example: Transcribing and tagging multilingual radiology reports or telehealth consultations with proper speaker attribution.
Named Entity Recognition (NER) for Clinical NLP
We label entities such as diseases, symptoms, drug names, dosages, and procedures in EHRs or medical literature using NER annotation, enabling AI systems to extract structured insights from unstructured text.
Example: Highlighting drug names and interactions in discharge summaries for a medication reconciliation assistant.
Image & Video Annotation for Medical Imaging
We apply bounding boxes, polygons, or semantic segmentation on diagnostic images (e.g., MRI, CT scans, ultrasound) to help models detect anomalies, tumors, organ boundaries, or skeletal structures.
Example: Drawing precise polygon boundaries around lung nodules in CT scans for AI-assisted diagnostics.
Text Classification & Summarization in Clinical Contexts
We annotate clinical notes, patient records, and research abstracts for text classification (e.g., emergency vs. routine) or generate high-quality summaries for downstream AI applications like physician-facing dashboards.
Example: Categorizing patient notes by urgency level or generating a concise history summary for specialist referrals.
Multilingual Translation & Localization for Global Health
We translate and localize health questionnaires, symptom checkers, and medical chatbot prompts across 30+ languages, with cultural sensitivity and domain knowledge, ensuring inclusivity and accessibility.
Example: Translating a tuberculosis screening bot from English into Swahili and Hindi with region-specific phrasing.
Sentiment & Emotion Tagging for Mental Health Models
We label speech and text data for emotional tone (e.g., anxious, depressed, neutral) using emotion tagging to support AI tools used in therapy, behavioral health, and mood tracking apps.
Example: Tagging emotion levels in patient voice recordings during CBT sessions for AI-powered therapist support.
Privacy-Compliant Dataset Cleanup & QA
We ensure all medical data is anonymized, de-identified, and compliant with HIPAA/GDPR. Our QA workflows include medical expert reviews to validate data accuracy and remove inconsistencies.
Example: Validating a dataset of dermatology images with annotations of acne types, ensuring label consistency and anonymity.
Why It Matters?
In healthcare, the margin for error is zero. With Jeenish AI Solutions, healthcare AI teams get the expert-curated data they need—secure, accurate, multilingual, and medically validated. Whether you're building diagnostic models, AI scribes, chatbots, or research tools, we ensure your AI is trustworthy, inclusive, and ready for clinical-grade deployment.