AI Is Top Game-Changing Technology In Healthcare Industry

With machine learning, healthcare professionals can organize that information to better understand the disease of every patient and reach them faster with interventions that improve their lives. It’s an amazing feeling when you talk with someone who’s recovered from an illness because they received the right care.


Droice part of startups selected to partner with providers at HealthTech Arkansas

The HealthTech Arkansas accelerator program announced its new cohort of six early-stage healthcare companies chosen to launch pilot projects at nine area hospitals and health systems. The nine providers involved in the accelerator are Arkansas Heart Hospital, Arkansas Children’s Hospital, Arkansas Urology, Baptist Health, CHI St. Vincent and University of Arkansas for Medical Sciences, all headquartered in Little Rock, along with Chesterfield, Mo.-based Mercy, Fayetteville, Ark.-based Washington Regional Medical Center and Conway (Ark.) Regional.


Droice selected to Philips HealthWorks 2019 Global Program in Patient Monitoring and Patient Care Analytics

Philips HealthWorks selected 15 top companies from around the world to join their 2019 Global Program focused on accelerating breakthrough innovation in Patient Monitoring and Patient Care Analytics. The program aims to identify, validate and shape collaboration opportunities between the selected companies and Philips through access to expertise and support from Philips’ experts and their innovation ecosystem partners.


Droice selected in SAP.iO Enterprise Health-Focused Startup Accelerator Program

The SAP.iO program is designed to accelerate startups working within healthcare: hospital system providers, employee health and wellness solutions, medical devices and health IT. SAP.iO will provide access to curated mentorship, exposure to SAP technology and application programming interfaces (APIs), and opportunities to collaborate with SAP customers to each of the seven early-stage startups chosen for the program.


Multilingual NLP for clinical text: impacting healthcare with big data globally

With the widespread adoption of electronic medical records (EMRs) and recent advances in machine learning, natural language processing has come to the forefront in clinical AI. Despite the challenges of working with unstructured text, doctors’ notes and other clinical text contains some of the richest information about a patient. Droice presented real-world use cases of NLP-powered solutions in several languages built by leveraging massive repositories of clinical text to help clinicians make better decisions for individual patients.