Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma
Glioma represents a dominant primary intracranial malignancy in the central nervous
system. Artificial intelligence that mainly includes machine learning, and deep learning …
system. Artificial intelligence that mainly includes machine learning, and deep learning …
Histological validation of in vivo assessment of cancer tissue inhomogeneity and automated morphological segmentation enabled by Optical Coherence Elastography
AA Plekhanov, MA Sirotkina, AA Sovetsky… - Scientific reports, 2020 - nature.com
We present a non-invasive (albeit contact) method based on Optical Coherence
Elastography (OCE) enabling the in vivo segmentation of morphological tissue constituents …
Elastography (OCE) enabling the in vivo segmentation of morphological tissue constituents …
Artificial intelligence in neurosurgery: A state-of-the-art review from past to future
In recent years, there has been a significant surge in discussions surrounding artificial
intelligence (AI), along with a corresponding increase in its practical applications in various …
intelligence (AI), along with a corresponding increase in its practical applications in various …
Multiple therapeutic approaches of glioblastoma multiforme: From terminal to therapy
Glioblastoma multiforme (GBM) is an aggressive brain cancer showing poor prognosis.
Currently, treatment methods of GBM are limited with adverse outcomes and low survival …
Currently, treatment methods of GBM are limited with adverse outcomes and low survival …
OCT-guided surgery for gliomas: Current concept and future perspectives
K Yashin, MM Bonsanto, K Achkasova, A Zolotova… - Diagnostics, 2022 - mdpi.com
Optical coherence tomography (OCT) has been recently suggested as a promising method
to obtain in vivo and real-time high-resolution images of tissue structure in brain tumor …
to obtain in vivo and real-time high-resolution images of tissue structure in brain tumor …
[HTML][HTML] The LMIT: Light-mediated minimally-invasive theranostics in oncology
Minimally-invasive diagnosis and therapy have gradually become the trend and research
hotspot of current medical applications. The integration of intraoperative diagnosis and …
hotspot of current medical applications. The integration of intraoperative diagnosis and …
Binary dose level classification of tumour microvascular response to radiotherapy using artificial intelligence analysis of optical coherence tomography images
The dominant consequence of irradiating biological systems is cellular damage, yet
microvascular damage begins to assume an increasingly important role as the radiation …
microvascular damage begins to assume an increasingly important role as the radiation …
Nondestructive label-free detection of peritumoral white matter damage using cross-polarization optical coherence tomography
KA Achkasova, AA Moiseev, KS Yashin… - Frontiers in …, 2023 - frontiersin.org
Introduction To improve the quality of brain tumor resections, it is important to differentiate
zones with myelinated fibers destruction from tumor tissue and normal white matter. Optical …
zones with myelinated fibers destruction from tumor tissue and normal white matter. Optical …
[PDF][PDF] 智能化精准光学诊疗技术研究进展
李阳曦， 胡成全， 马龙飞， 张欣然… - Chinese Journal of …, 2021 - researching.cn
摘要现代光学成像和光学治疗技术的发展, 为智能化精准微创诊疗平台的构建提供了重要的结构
支撑. 传统的诊断和治疗技术存在诊断与治疗过程相对独立, 术前, 术中信息不匹配 …
支撑. 传统的诊断和治疗技术存在诊断与治疗过程相对独立, 术前, 术中信息不匹配 …