Page 32 - Identifying and scaling AI startups for SDGs
P. 32

Identifying and scaling AI startups for SDGs



                       efficient and reliable crop inspections, complementing human expertise with advanced
                       AI capabilities.

                  Judges:
                  •    Will Sami; Founder & CEO, Water Foundry
                  •    Deepam Mishra; Senior Advisor, AWS Startups
                  •    Kimberly Nelson; COO, True Elements
                  •    Joseph K. Hopkins; Senior Managing Partner, The IPRESTIGE Emerge Fund LLC & CEO,
                       Fallingst IPRESTIGE Emerge Fund LLC


                  10.5  Meet startups improving the access and affordability of healthcare
                         services

                  Online, 8 July 2022

                  Moderator: Josh Choi, Program Lead at AI for Good, ITU

                  Startups:

                  •    Telebionix: Telebionix is revolutionizing healthcare by developing smart, AI-driven, clinical-
                       grade remote devices designed for ease of use and accessibility. This technology enables
                       the elderly and individuals with limited mobility to receive high-quality healthcare from
                       the comfort of their homes, extending reach to remote and underserved communities
                       globally.
                  •    SurgiQ srl: SurgiQ addresses intricate planning challenges related to highly valuable and
                       critical healthcare resources. By leveraging AI-based planning algorithms, SurgiQ has
                       developed specialized applications that significantly improve complex resource planning.
                       The company is now introducing its technology as a cloud-based engine, seamlessly
                       integrating it into products and services from key partners.
                  •    Heka Digital Technologies: The Heka AI platform gathers and monitors users' vital
                       signs to enable early detection and timely intervention, enhancing healthcare outcomes
                       and  preventing  complications  and  premature  deaths  among  individuals  with  non-
                       communicable diseases. By running predictive analysis on patient data, the AI identifies
                       warning signs and issues alerts to both patients and their assigned physicians, prompting
                       necessary actions. For instance, a hypertensive patient wearing an Apple Watch can have
                       their vital signs synchronized with our mobile app, facilitating continuous monitoring of
                       their blood pressure and heart rate.
                  •    Diagnosoft Healthcare Ltd: Diagnosoft is a pioneering HealthTech startup that leverages
                       AI and machine learning models to diagnose diseases from medical imaging scans with
                       remarkable accuracy. The value proposition lies in our ability to detect abnormalities in
                       under 5 seconds, compared to the 30 minutes typically required by radiologists. This
                       rapid, high-accuracy detection significantly reduces misdiagnosis rates, ultimately saving
                       lives and lowering medical claim costs for hospitals. Diagnosoft's advanced deep learning
                       models specialize in predicting and diagnosing conditions such as brain tumors, brain and
                       chest trauma, and tuberculosis from scanned images.
                  Judges:

                  •    Jon Hunt; Executive Vice President, HeartBeam
                  •    Ahmed Fadl; Program Consultant, Village Capital
                  •    Sasha Cahill; Digital Health Technologies & Serial Entrepreneur, PX Pulse
                  •    Melissa Sassi; Global Head of IBM Hyper Protect Accelerator, IBM






                                                           24
   27   28   29   30   31   32   33   34   35   36   37