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イーサーエーアイ株式会社、Techman Robot 社および浜松光学株式会社と共同で全自動病理スライドスキャンソリューションを発表
世界的に病理科人材の不足が続く中、医療業界におけるデジタル化、自動化、AI の需要は著しく増加しています。イーサーエーアイ株式会社(7803)は、Techman Robot社(4585)および光学の巨人、浜松光学株式会社と連携し、業界をリードする「全自動病理スライドスキャンソリューション」を共同で開発し、2025年医療技術展示会にて正式に発表しました。 本ソリューションは、Techman Robot の「内蔵スマートビジョン」を備えた AI 協働ロボット、浜松光学の高品質 NanoZoomer™ デジタル全スライドスキャナー、イーサーエーアイ株式会社の医療画像 AI システムとソフトウェア統合能力を組み合わせ、スライド搬送からスキャン、画像出力までの全工程を自動化します。このソリューションにより、病理科の手作業依存を大幅に軽減し、病院病理科のデジタル化・スマート化を加速させ、貴重な医療人材がより専門的な業務に集中できるようになります。 今回の三社共同の取り組みは、医療現場の人材・効率課題に応えるだけでなく、世界中の医療機関に自動化アップグレードの
6 日前


Quanta-Backed AetherAI Applies for Taiwan Innovation Board Listing with a Star-Studded Board
AetherAI has officially submitted its application for listing on the Taiwan Innovation Board, becoming the 10th company to apply this year and highlighting the accelerating momentum of Taiwan’s AI healthcare sector. Backed by major investors—including Quanta Computer, Cathay Venture, and Taiwan Business Bank VC—the company continues to attract significant market attention. One of the biggest highlights is AetherAI’s high-profile board lineup, featuring influential leaders fro
12月1日


Building Alignment Through Design: A Scalable System for Better Product and Team Efficiency
The design system improved product consistency and team efficiency by standardizing UI components and creating a medical-focused icon set. This led to a 40% increase in adoption, 92% team satisfaction, and better collaboration across design and engineering—enhancing clarity, reducing errors, and supporting scalable, user-centered healthcare solutions.
7月17日


Designing with Care: Growing Enzyme Alongside aetherAI's Products
When I joined aetherAI as a product design intern, I stepped into a fast-evolving company where AI is transforming medical imaging. What...
7月17日


A machine-learning-based algorithm for bone marrow cell differential counting
Published by International Journal of Medical Informatics Volume 194, February 2025, 105692 Abstract Background Differential counting...
2月3日


The Vessels of Digital Pathology Systems: Front-End Engineers Connecting Design and Function
What kind of challenges can lead a computer science graduate, originally focused on backend development, to assist healthcare...
1月2日


Unveiling A Day of an MIS Engineer: The Central Nervous System of aetherAI
At aetherAI, the MIS (Management Information Systems) team operates like the central nervous system of the company, ensuring the smooth...
1月2日


Deep Residual Learning-Based Classification with Identification of Incorrect Predictions and Quantification of Cellularity and Nuclear Morphological Features
Published by Cancers 2024, 16(13), 2449 Interobserver variations in the pathology of common astrocytic tumors impact diagnosis and...
2024年7月5日


Two-tiered deep-learning-based model for histologic diagnosis of Helicobacter gastritis
Published by Histopathology 2023 Nov;83(5):771-781 Helicobacter pylori (HP) infection is the most common cause of chronic gastritis...
2024年7月5日


Deep Learning-Based Nuclear Morphometry Reveals an Independent Prognostic Factor in MCL
Published by the American Journal of Pathology Vol. 192, No. 12, Dec. 2022 Mantle cell lymphoma (MCL) is a rare type of B-cell lymphoma...
2023年1月4日


台湾ベンチャー企業・aetherAI A+ラウンドで総額約6.8億円資金調達を完了
AIの活用で医療界の新基準を確立することを目標、海外展開も推進 デジタルパソロジー及び医療画像AIの開発に強みを持つ台湾ソフトウェア会社・aetherAIは2022年10月末までにシリーズA+ラウンドにおける資金調達を完了いたしましたことをお知らせいたします。...
2022年11月21日


Deep neural network trained on gigapixel images improves lymph node metastasis detection
Published by Nature Communications, 10 June 2022 The pathological identification of lymph node (LN) metastasis is demanding and tedious....
2022年6月11日


aetherAI’s Machine Learning Approach for T-cell Lymphomas Diagnosis Support published in Cancers
aetherAI presented a machine learning approach for accurate quantification of nuclear morphometrics and differential diagnosis of primary...
2021年10月27日


Glomerular disease classification and lesion identification by machine learning
Abstract Background Classification of glomerular diseases and identification of glomerular lesions require careful morphological...
2021年9月20日


Stain Mix-Up: Unsupervised Domain Generalization for Histopathology Images
Abstract Computational histopathology studies have shown that stain color variations considerably hamper the performance. Stain color...
2021年9月14日


Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images
Abstract Understanding of prognosis and mortality is crucial for evaluating the treatment plans for patients. Recent developments of...
2021年9月4日


Identification of nodal micrometastasis in colorectal cancer by deep learning on annotation-free WSI
Published by Modern Pathology, June 2021 Abstract Detection of nodal micrometastasis (tumor size: 0.2–2.0 mm) is challenging for...
2021年6月8日


aetherAI's new article publishing in Scientific Reports
Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs Abstract Human spinal...
2021年3月11日


Artificial Intelligence–Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples
Abstract Objectives This study aimed to develop and validate a deep learning algorithm to screen digitized acid fast–stained (AFS) slides...
2021年2月11日


An annotation-free whole-slide training approach to pathological classification of lung cancer types
Published by Nature Communications, Feb. 2021 Abstract Deep learning for digital pathology is hindered by the extremely high spatial...
2021年2月5日



