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Technology behind the development of CAD systems stems from various research areas in computer science such as: artificial intelligence, machine learning, pattern recognition, computer vision, image processing and sensors and acquisition |
Analysis of medical images from imaging techniques such as MRI, CT-scans, X-rays and so on is quite intricate making it easier to miss important hidden cues in the given data |
The use of AI based techniques on these image data can provide insightful information on not only early diagnosis but for treatment of the patient as well |
Wiseyak is continuously striving to develop AI based medical image analysis tools for a wide array of use cases on various diseases |
While we may still be in early stages, the end goal would be to incorporate these tools into the WiseMD platform in order to create a truly intelligent platform which can aid in diagnostics and treatment through clinical decision support using advanced medical image analysis |
Footer About Wiseyak is an AI-based healthcare startup company |
At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere |
USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients... |
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It was formulated to build software that generates and comprehends natural languages so that a user can have natural conversations with his or her computer instead of through programming or artificial languages like Java or C |
Natural language processing strives to build machines that understand and respond to text or voice data—and respond with text or speech of their own—in much the same way humans do |
IBM The ideal result of NLP is a computer capable of “understanding” the contents of documents, including the contextual nuances of the language within them |
The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves |
Specific tasks for NLP systems may include: Summarizing lengthy blocks of narrative text, such as a clinical note or academic journal article, by identifying key concepts or phrases present in the source material Mapping data elements present in unstructured text to structured fields in an electronic health record in o... |
NLP can enhance the completeness and accuracy of electronic health records (EHRs) by translating free text into standardized data |
It can fill data warehouses and semantic data lakes with meaningful information accessed by free-text query interfaces |
It may be able to make documentation requirements easier by allowing providers to dictate their notes or generate tailored educational materials for patients ready for discharge |
But perhaps of greatest interest right now, especially to providers in desperate need of point-of-care solutions for incredibly complex patient problems, NLP can be – and is being – used for clinical decision support |
The most famous example of a machine learning NLP in the healthcare industry is IBM Watson, which has dominated headlines due to its growing expertise and applications in clinical decision support (CDS) for precision medicine and cancer care |
There is a huge amount of data in the healthcare space and finding the best ways to extract what’s relevant and bring it together to help clinicians make the best decisions for their patients is a new challenge that the industry faces |
Natural language processing algorithms can be run against these medical data to automatically extract features or risk factors |
A few of the many examples of NLP in the clinical decision support and risk stratification realms include: In 2013, the Department of Veterans Affairs used NLP techniques to review more than 2 billion EHR documents for indications of PTSD, depression, and potential self-harm in veteran patients |
The pilot was 80 percent accurate at identifying the difference between records of screenings for suicide and mentions of actual past suicide attempts |
Researchers at MIT in 2012 were able to attain a 75 percent accuracy rate for deciphering the semantic meaning of specific clinical terms contained in free-text clinical notes, using a statistical probability model to assess surrounding terms and put ambiguous terms into context |
Natural language processing was able to take the speech patterns of schizophrenic patients and identify which were likely to experience an onset of psychosis with 100 percent accuracy |
The small proof-of-concept study employed an NLP system with “a novel combination of semantic coherence and syntactic assays as predictors of psychosis transition.” At the University of California Los Angeles, researchers analyzed electronic free text to flag patients with cirrhosis |
By combining natural language processing of radiology reports with ICD-9 codes and lab data, the algorithm attained incredibly high levels of sensitivity and specificity |
Researchers from the University of Alabama found that NLP identification of reportable cancer cases was 22.6 percent more accurate and precise than manual review of medical records |
The system helped to separate cancer patients whose conditions should be reported to the Cancer Registry Control Panel from cases that did not have to be included in the registry |
Natural language processing in healthcare is currently in its initial phases, but its applications are already starting to create ripples in the healthcare sector |
Cognitive computing and semantic big data analytics projects, both of which typically rely on NLP for their development, are seeing major investments from some recognizable names |
From the most cutting-edge precision medicine applications to the simple task of coding a claim for billing and reimbursement, NLP has nearly limitless potential to turn unstructured data in electronic health records from burden to boon |
Being a healthcare solutions company, Wiseyak is aware of the potential of NLP in healthcare and is proactively working to develop NLP powered tools to better understand healthcare data |
While we may still be in early stages of development, the end goal would be to incorporate these tools into the WiseMD platform in order to create a truly intelligent platform which can aid in diagnostics and treatment through clinical decision support |
Footer About Wiseyak is an AI-based healthcare startup company |
At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere |
USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients... |
Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Orga... |
Our vision is to render quality healthcare accessible for everyone around the globe |
We specialize in Artificial Intelligence and Machine Learning techniques and offer unique solutions to clinical decision support across the healthcare industry in a unified platform – for hospitals, doctors, healthcare workers, research organizations, pharmaceuticals, governmental and non-governmental organizations as ... |
WHY WISEYAK? Wiseyak ensures that data is interoperable and effortlessly exchanged between platforms |
Our knowledge base and products are fully based on semantic ontologies and clinical information models such as HL7 CDA and FHIR resources |
Our platform, WiseMD, is a standalone system that can additionally work effortlessly with existing health data platforms |
Our solutions are easily customizable for catering to varying needs of the healthcare systems globally |
We believe in no compromise in quality |
We want to empower individuals and organizations to be able to make insightful decisions based on real and relevant healthcare data with the latest technology |
KNOW MORE ABOUT OUR PRODUCTS For Hospital: Doctors/ Nurses , Management/ Administrative staffs For Patients For Research Organizations For Policy makers: Governmental Organizations , International Organizations Footer About Wiseyak is an AI-based healthcare startup company |
At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere |
USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients... |
Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Orga... |
Wiseyak’s WiseMD platform is a smart EMR/EHR medical record system that collects patient health data, stores medical records for analysis and provides better clinical decision support for healthcare professionals.With its relational and data federation capabilities, WiseMD is the fastest way to build solutions for comp... |
If you are a provider to this market and have domain expertise or technical expertise, please feel free to contact us to develop a Partnership Program that suits your needs |
Become A Wiseyak Partner BECOME A PARTNER REFERRAL PARTNERS VALUE ADDED RESELLERS SOLUTION PROVIDER (OEM) PARTNERS Contact Us Footer About Wiseyak is an AI-based healthcare startup company |
At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere |
USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients... |
Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Orga... |
Suresh Manandhar Chief Operating Officer Dr |
Hemanta Shrestha Chief Technology Officer Ravi Bajracharya CEO/Chief Scientist Dr |
Suresh Manandhar Our Co-founder, CEO and Chief Scientists at Wiseyak |
He is an AI scientist with 35 years of global experience with deep expertise in natural language processing and deep learning |
Formerly, he was the Head of AI Research Group at University of York |
He has published over 120 scientific papers, and served on many international scientific committees |
You may connect with him at Linkedin or find his scientific literature below |
Chief Operating Officer Dr |
Hemanta Shrestha Our COO is a Data Scientist and Economist with 20+ years of experience in Predictive Modelling, Customer Analytics, Marketing analytics, Business Analytics, Data Mining and Financial Planning |
Working in the US with notable telecommunication companies such as AT&T, Virgin Mobile & Nokia |
He has a PhD in Economics from the University of Connecticut |
You may connect with him at Linkedin |
Chief Technology Officer Ravi Bajracharya Our CTO with 16+ years of experience in software development for international companies |
In 2017, he was a Finalist in the Reverse Pitch Competition with Marvin (AI Product) |
He has extensive technical knowledge of Natural language processing, knowledge graphs, bioinformatics, UMLS, clojure, semantics and ontology |
He has a BSc in Computer Science and Mathematics, Linfield University |
You may connect with him at Linkedin |
Health IT Consultant Dr |
Sanjeev Uprety Project Manager Mona Shrestha Sr |
AI Programmer Santa Basnet Sr |
Full Stack Developer Abhigya Maskay DevOps & AI/ML Engineer Ayush Pandey Software Developer Saurab Shrestha Full Stack Developer Susil Thapa Full Stack Developer Sapana Subedi Full Stack Developer Tanusha Ayer Full Stack Developer Aakash Chaudhary Clinical Analyst Shuvani Acharya Full Stack Developer Cyrus Shrestha Adm... |
Sanjeev Uprety Dr |
Sanjeev has 25 years of experience in Orthopaedics and Clinical Informatics (Health Information Technology) combined |
He started the Clinical Informatics Department at Nepal Mediciti Hospital and implemented the Hospital Information system (HIS) |
Furthermore, he established the Department of Orthopaedics at Dhulikhel hospital (KUMS) and ran the department for a couple of years as Head of Department |
Currently, he is the Chief Medical Information Officer (CMIO)/ Orthopedic Surgeon at the Hospital and Rehabilitation Center for Disabled Children (HRDC) |
His team has been implementing the Hospital Information System (HIS) / Radiological Information System (RIS) at HRDC |
Project Manager Mona Shrestha Mona holds an MIT degree in Project Management from the University of Technology, Sydney |
She has extensive experience in process optimization, development, and management |
As a project manager, she enjoys ensuring that things run smoothly and creates operations that keep all stakeholders on track |
She is further involved in developing strategies for creating innovative healthcare products that use AI, ML, and NLP |
Sr |
AI Programmer Santa Basnet Santa is an AI Programmer with his research from the University of York, UK |
He has worked in the design and development of Unsupervised algorithms |
His expertise lies in the field of graph-based data computation, data preparation, and IR system evaluation |
He has been working on the large scale generic and scalable ontology-based graph framework development with various searching facilities |
Sr |
Full Stack Developer Abhigya Maskay Abhigya is a full-stack software developer with a particular focus on functional and declarative programming |
He has experience with Node.js, Ruby on Rails, Haskell, Ocamlnd ReasonML, Purescript, ClojureScript, Angular & React |
He’s interested in finding math behind programming, explore differentiable programming and gradient-based techniques in machine learning |
DevOps & AI/ML Engineer Ayush Pandey Ayush works with DevOps Team and AI/ML Team |
In the DevOps team, he oversees integration, deployment, performance & availability of core systems and microservices |
In AI/ML team, he specializes in Computer Vision & Face Recognition as well as work on NLP and Data Analysis |
He holds B.Sc in Computer Science and Python is the language of his choice |
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