With the advent of Artificial Intelligence (AI), Machine learning (ML), Natural Language Processing(NLP), and Robotic Process Automation (RPA), businesses can streamline workflows, cut costs, and foster sustainable growth amid market challenges. Despite advancements in enterprise resource planning (ERP) systems, a … Read More
HealthCare and LifeSciences
Healthcare and Lifesciences
Artificial Intelligence is revolutionizing Health and Life Sciences by enhancing diagnostics, drug discovery, personalized treatment, and patient care. From predictive analytics to image analysis, Recosense AI's potential to analyze large amounts of unstructured data (patient records, medical journals, and research articles) will transform the healthcare and life science sector.
RecoSense - Content Intelligence for Aviation
Clinical Assertion Model
Helps doctors and medical professionals determine whether a statement in a patient's medical records is positive, negative, or uncertain. For instance, it can help identify if a symptom is present or not based on the notes in the records.
Clinical Deidentification Model
This model protects patient privacy by removing or masking personal information from medical records. It ensures that sensitive details like names and addresses are hidden while still allowing healthcare data to be used for analysis and research.
Clinical Entity Resolver
If there are different versions of a patient’s name or medical term found in various records, this model identifies the redundant data and marks them to one single patient’s file. This helps in keeping patient information accurate and coherent.
Clinical Named Entity Recognition General Model
This model identifies and extracts required key entities like names, medications, claim details, etc. from the records. This helps organize and understand medical records better.
Clinical Relation Extraction Model
This AI model looks at medical texts, figures out which terms are related, and helps identify the relationships between different pieces of medical information.
Financial Contract Named Entity Recognition
An NER model trained specifically for financial purposes. It can read and understand contracts related to medical services and insurance. It identifies important bits like payment terms, dates, and financial entities mentioned in the contracts.
With evolving digital transactions and sophisticated fraud techniques, the need for robust fraud detection mechanisms is equally increasing. One area where this is particularly pertinent is in identifying fake bank statements, a common tool fraudsters use to manipulate financial information. … Read More
The investment banking sector is currently grappling with several challenges. These include dealing with capital charges, digital adoption, rigid cost structure, intricate and layered technological stacks, and increased regulatory demands. As a result, various investment banks shifted their emphasis from … Read More