AI Revolutionizes Radiology: Harrison.ai Unveils genAI and More

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See-Mode Technologies: Pioneering AI-Powered Thyroid Ultrasound Analysis

Victoria-based See-Mode Technologies has made history by securing the first 510(k) clearance from the United States Food and Drug Administration (FDA) for its groundbreaking AI-powered solution that revolutionizes the detection and diagnosis of thyroid issues in ultrasound scans.

Outperforming Major Language Models

See-Mode's genAI model has demonstrated exceptional performance, surpassing prominent Large Language Models (LLMs) such as OpenAI's GPT-4o and Microsoft LLaVA-Med in the competitive Royal College of Radiologists' 2B Rapids examination. The model achieved an impressive average score of 50.88 out of 60, comparable to the proficiency of experienced radiologists.

Australian Centre for Artificial Intelligence in Medical Innovation

With A$10 million ($6.8 million) in funding from the state government, the Australian Centre for Artificial Intelligence in Medical Innovation is dedicated to harnessing AI to unlock new frontiers in medical advancements. The center aims to develop innovative AI solutions for discovering novel treatments, vaccines, and immunotherapies for a wide range of diseases and viruses.

Harrison.ai's Specialized AI Model

Unlike conventional generative AI models trained on general and open-source data, Harrison.ai's model is meticulously trained on a vast and diverse dataset of real-world medical data. This data is meticulously annotated by a team of medical specialists, ensuring the model's accuracy and reliability.

HIMSS 2024 Healthcare Cybersecurity Forum

The upcoming HIMSS 2024 Healthcare Cybersecurity Forum will delve into the industry's current efforts to strengthen its defenses and develop future-proof strategies for safeguarding healthcare data.

See-Mode's Thyroid Ultrasound Analysis Software

See-Mode's thyroid ultrasound analysis software is a cutting-edge tool that automates the detection and classification of thyroid nodules. It utilizes the American College of Radiology's TI-RADS rating systems to provide accurate and consistent assessments.

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