为了解决这一问题，密歇根大学与加州大学旧金山分校的研究团队开发了一款名为 FastGlioma 的人工智能诊断工具。这一创新技术能在手术中实时提供诊断信息，帮助外科医生在数秒内识别和切除脑 肿瘤 。

FastGlioma’s AI-driven technology detects remaining cancerous tissue in brain surgery, improving accuracy and surgical outcomes.

引言在脑胶质瘤的手术治疗中，如何精确检测和识别肿瘤的浸润边界一直是一个极具挑战性的难题。尽管现代手术工具在不断进步，但大多数胶质瘤患者在手术后仍会残留一些无法完全切除的肿瘤组织。这不仅增加了复发的风险，还对患者的生存率和生活质量造成严重影响。为了解决 ...

Detecting tumor infiltration during surgery has been a vital concern for over a century. Despite advances in healthcare, the ...

In another triumph for AI in healthcare, researchers have developed a model that can spot bits of brain tumors that surgeons ...

美国科学家近日在《自然》杂志发表重大研究成果:由密歇根大学和加州大学旧金山分校联合开发的人工智能模型FastGlioma，可在脑瘤手术中实现10秒内快速判断癌性肿瘤残留，为神经外科手术带来革命性突破。

AI model FastGlioma detects residual brain tumors in 10 seconds with 92% accuracy, offering real-time guidance to improve ...

Researchers have developed an AI powered model that -- in 10 seconds -- can determine during surgery if any part of a cancerous brain tumor that could be removed remains.The technology, called ...

The technology, called FastGlioma, outperformed conventional methods for identifying what remains of a tumor by a wide margin ...

A new artificial intelligence (AI) tool, called FastGlioma, is making brain tumor surgery more precise and faster. This ...

A newly developed AI program can help doctors detect and potentially remove brain cancer that might otherwise be missed ...