Article Name Artificial Intelligence
Aktiia, Resolve Medical, SmartMore, Qritive, Elemy, Mendaera, Biolinq, Endiatx, Glooma, Neuroglee Therapeutics
10th January, 2025
Empowering healthcare and life sciences with faster insights, streamlined data mining, and AI-driven innovation.
10th January, 2025
Investment aligns with Danaher's mission to accelerate the transition to precision medicine with AI-enabled diagnostics.
10th January, 2025
Building on its strong debut in South Korea, where it has already sold 500 units
09th January, 2025
Groundbreaking device sets new standards in personalized health tracking with advanced AI technology.
08th January, 2025
Transformative AI impact accelerates innovation and efficiency for global customers.
07th January, 2025
Move enhances the company’s innovation in hearing solutions through AI-driven advancements.
03rd January, 2025
Company aims to drive innovation and expand capabilities in emerging technologies.
03rd January, 2025
Revolutionary on-device technology offers personalized experiences in a wearable form.
03rd January, 2025
Simplifying the Process for Exercising Publicly-Traded Warrants to Maximize Investor Participation.
01st January, 2025
Intuitive Surgical, Medtronic, Siemens Healthineers, GE Healthcare, Abbott, Apple, Fitbit, Google, Philips Healthcare, AliveCor
30th December, 2024
Innovative modular RAG AI surpasses limitations of traditional large language models in healthcare.
30th December, 2024
The Fusion of AI, AR, and Cutting-Edge Innovation
30th December, 2024
Innovative initiative bridges legal gaps for disabled individuals using AI and quantum computing.
26th December, 2024
Investment highlights Samsung's dedication to advancing innovation and creating a robust ecosystem for AI-enabled therapeutic development
18th December, 2024
With advanced systems designed for seamless, AI-driven analysis
29th November, 2024
Recursive will support KAIMRC in developing an AI system that enhances the early detection of TB
28th November, 2024
Medical imaging has been used extensively for early diagnosis of various diseases. Be it computed tomography (CT), mammography, ultrasonography, magnetic resonance imaging (MRI), and nuclear medicine tests, radiologists and pathologists have relied on these images to analyse the condition of patients. However, most of the analysis has been manual, heavily depending on the skill sets of the radiologists or pathologists to identify anomalies in the images. The challenge has been the enormous volumes of patient samples to be analysed and the limited number of radiologists or pathologists. Let's take an in-depth look at the impact and possibilities of AI and new applications in the Indian context.
31st October, 2024
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