From diagnosing diabetes through voice recognition to an iPhone stethoscope, here are some AI powered health diagnostic tools and how they improve diagnosis, support, and outcomes.
Digital Stethoscope:
Eko Health's AI-powered digital stethoscope, known as Sensora in the U.S., has received regulatory approval in the UK and is being rolled out to 100 general practice clinics through Imperial College London. The technology combines a noise-reducing digital stethoscope with a three-lead ECG sensor to detect heart failure, valve disease, and atrial fibrillation. By analyzing heart sounds and ECG waves, the AI helps healthcare workers identify heart-related issues and could empower clinical trial sites to better monitor patient health. The deployment of this technology aims to improve early detection, particularly in cases of heart failure, and potentially save significant healthcare costs.
Voice Recognition for Diabetes Diagnosis:
Researchers from Klick Applied Sciences have developed an AI tool capable of diagnosing type 2 diabetes with high accuracy based on voice recordings. Using an ensemble model that considers factors like body mass index (BMI), the tool achieved accuracy rates of up to 89% for women and 86% for men. Participants recorded short phrases with a smartphone application, and the AI analyzed acoustic characteristics to construct a diabetes identification tool. This innovative approach offers a non-invasive and potentially cost-effective method for early diabetes detection and screening, offering virtual testing alternatives for clinical trial eligibility and in turn, access to potentially breakthrough medicines.
Analyse Retina Images for Diabetes Diagnosis.
IDx-DR is an FDA-approved AI tool that autonomously analyzes images of the retina to detect diabetic retinopathy, a common complication of diabetes. With utility in clinical trial pre-screening or general health, using AI to diagnose diabetes early could help patients prevent further complications.
Use AI for Mobile Ultrasound Analysis.
Butterfly iQ, though not purely AI, is an innovative handheld ultrasound device that connects to a smartphone. While healthcare providers use it for performing ultrasounds in various settings, including trial screening, AI algorithms assist in interpreting ultrasound images.
Mental Health AI Tools:
WellAI and Buoyant are pioneering AI tools for mental health that could support patients during a trial. WellAI employs natural language processing (NLP) to analyze text data from sources like social media, providing insights into individuals' mental health and aiding in early diagnosis & monitoring. Buoyant, on the other hand, is an AI-powered chatbot designed to help individuals assess their mental health. Using machine learning algorithms, it analyzes responses to provide information and recommendations related to mental well-being. Both tools showcase the potential of AI in the early detection and support of mental health conditions.
Enhance responses to adverse events and provide better support:
Corti is an AI tool that collaborates in emergency situations to detect out-of-hospital emergencies arrests during a call. By analyzing audio data, including speech patterns and background noises, Corti provides real-time support in emergency situations. An opportunity for study teams to adopt, this tool can enhance responses and improve the identification of critical medical conditions through voice analysis.
Diagnose disease faster:
PathAI employs artificial intelligence to assist pathologists in diagnosing diseases through pathology slides. The tool aids in the identification of patterns and abnormalities in medical images, particularly in pathology, facilitating more accurate and efficient disease diagnosis, including cancer. Allowing faster data analysis and report generation.
Oncology Data Review:
Tempus utilizes machine learning to analyze clinical and molecular data, assisting physicians in making data-driven decisions for cancer care. By aiding in the development of personalized treatment plans based on the patient's unique profile, Tempus demonstrates the potential of AI in advancing precision medicine and improving cancer diagnosis and treatment.
Medical Imaging Interpretation:
Arterys focuses on medical imaging analysis using AI. Their platform assists in the interpretation of medical images, such as MRIs and CT scans, providing quantitative data and aiding in the diagnosis of various conditions, including cancer. AI-enhanced medical imaging contributes to more accurate and efficient diagnostics.
These AI-powered tools showcase applications of artificial intelligence in healthcare, and more specifically, clinical trials. Ranging from cardiac diagnostics and diabetes detection for screening to mental health support and emergency response. Each tool shows significant potential in supporting the delivery of care by humans, both in and out of the clinical setting.
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