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Diagnostic și analiză medicală bazate pe inteligență artificială

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AskMED.ai is a powerful platform by Atomo, Inc. that provides quick and accurate healthcare insights by analyzing data from over 300 million Americans and millions of medical publications. It helps identify undiagnosed patients and supports healthcare professionals in making better decisions faster, transforming months of analysis into just minutes.

Atomo, Inc poate fi găsit în AI-powered Diagnosis & Healthcare Analytics, Data Analysis & Visualization Software, Citizen Engagement & Service Portals categorii.

Cele mai similare produse cu Atomo, Inc sunt:

Kure Promovat → Verix → PulseData → Claritas Rx → SOPHiA DDM →

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Detalii

Caracteristici principale Atomo, Inc

• Cloud Technology
  AskMED.ai is powered by Google Cloud, ensuring a safe and scalable platform for delivering insights.
• Healthcare Insights
  AskMED.ai provides quick access to healthcare insights using data from over 300 million Americans and 2.5 million PubMed publications.
• Chat-Based Interface
  The SaaS uses a chat-based interface to make it easy for users to ask questions and get answers.
• Industry Recognition
  AskMED.ai has been recognized as a top AI startup, winning awards for its innovative solutions in healthcare.
• High Predictive Value
  The patient finding models have a high accuracy rate of about 80%, meaning they can reliably identify hidden patients.
• Rapid Decision-Making
  The SaaS reduces the time needed for analysis from months to just minutes or days, allowing for faster decision-making.
• Resource Optimization
  AskMED.ai helps healthcare providers use their resources more effectively by identifying high-impact patients and practitioners.
• Validated by Research
  The SaaS's methods are backed by scientific research and have been published in major medical journals.
• Integrated Data Access
  Users can access a wide range of healthcare data, including patient encounters and medical literature, all in one place.
• Patient Finding Models
  AskMED.ai uses advanced models to find patients who are undiagnosed or misdiagnosed, helping to improve their health outcomes.

Insigne

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