Automatic Speech Recognition (ASR) research has achieved significant advancements in recent years, particularly for high-resource languages like English. However, a significant disparity exists in the availability of ASR models for low-resource languages.
Our Clinical Decision Support System has been validated using our proprietary dataset, which comprises 185 patient vignette cases. These cases encompass diverse age and gender demographics and include a variety of medical conditions such as asthma, heart disease, and hypertension, along with family histories. Each case includes relevant chief complaints and additional symptoms, collectively covering a total of 100 Parent Diseases.
MedAi's SMART Health Champion program is creating a wave of positive change in Bangladesh. Today, we meet two inspiring champions, Nusrat Jahan Shimu and Shanta Akhter, who are dedicated to improving healthcare access in their communities.
Before the inception of the SMART Health Champion program, a foundational SMART Health Intervention program was initiated in partnership with a local Ready-Made Garment (RMG) factory at two sites. This pilot phase included hybrid clinics that facilitated approximately 900 virtual and face-to-face medical consultations, laying the groundwork for the subsequent initiative.
Losing data to any type of security breach is damaging to the business but losing patient health data can be catastrophic for the business. Cloud solutions such as AWS, google cloud offers robust, scalable and secure solution to many industries. However, at the end of the day, you have to be the ultimate gatekeeper of your cloud server.
In recent years, the digital revolution has opened up endless possibilities in the healthcare sector, providing opportunities to reach underserved populations. One such population facing unique challenges is the garment workers in various regions. MedAi, a pioneering digital health company, embarked on a transformative journey to empower these workers through telehealth solutions.
In today's digital age, technology has become an integral part of our lives, shaping the way we communicate, work, and even seek medical assistance. However, not everyone is equally comfortable with technology, particularly in rural areas and among ethnic South Asian populations. Understanding the need for user-friendly healthcare applications, MedAi embarked on a transformative UX (User Experience) journey. Through a series of workshop sessions, in-depth interviews (IDIs), and UX sessions, MedAi aimed to enhance their apps' usability,
Preconception care plays a crucial role in ensuring healthy pregnancies and improving maternal and child health outcomes. Recognizing its significance, the Bangladesh Diabetic Association (BADAS) implemented a comprehensive Preconception Care Program to provide necessary support and guidance to women planning for pregnancy. However, the program faced several challenges, particularly concerning technical limitations. This article delves into the obstacles faced by BADAS, highlighting the issues with real-time data, deep insights, and the graphical interface of geo-location of patients. Furthermore, it presents MedAi, a revolutionary digital healthcare platform, which addressed these limitations through AI-driven analytics, real-time data, geo-location tracking, and a mobile-responsive web solution