MRI-LINAC: A transformative technology in radiation oncology

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: Jan. 27, 2023

Advances in radiotherapy technologies have enabled more precise target guidance, improved treatment verification, and greater control versatility radiation delivery. Amongst the recent novel technologies, Magnetic Resonance Imaging (MRI) guided (MRgRT) may hold greatest potential to improve therapeutic gains of image-guided delivery dose. The ability MRI linear accelerator (LINAC) image tumors organs with on-table MRI, manage organ motion dose real-time, adapt plan on day while patient is table are major advances relative current conventional treatments. These advanced techniques demand efficient coordination communication between members team. MRgRT could fundamentally transform process within oncology centers through reorganization team workflow process. However, technology currently limited by accessibility due cost capital investment time personnel allocation needed for each fractional unclear clinical benefit compared platforms. As evolves becomes widely available, we present case that has become a utilized platform just as earlier disruptive therapy done.

Language: Английский

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Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation

Clinical Oncology, Journal Year: 2023, Volume and Issue: 35(4), P. 219 - 226

Published: Jan. 23, 2023

Artificial intelligence has the potential to transform radiotherapy workflow, resulting in improved quality, safety, accuracy and timeliness of delivery. Several commercially available artificial intelligence-based auto-contouring tools have emerged recent years. Their clinical deployment raises important considerations for oncologists, including quality assurance validation, education, training job planning. Despite this, there is little literature capturing views oncologists with respect these factors.The Royal College Radiologists realises transformational impact set on our specialty appointed Intelligence Clinical Oncology working group. The aim this work was survey regards perceptions, current use barriers using radiotherapy. Here we share findings wider radiation oncology communities. We hope insights developing support, guidance educational resources use, help develop case access across UK practice from early-adopters.In total, 78% surveyed felt that would a positive Attitudes risk were more varied, but 49% will decrease patients. There marked appetite urgent guidance, education safe such practice. Furthermore, concern adoption implementation not equitable, which risks exacerbating existing inequalities country.Careful coordination required ensure all departments, patients they serve, may enjoy benefits Professional organisations, as Radiologists, key role play delivering this.

Language: Английский

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Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases

Pharmacological Research, Journal Year: 2023, Volume and Issue: 189, P. 106706 - 106706

Published: Feb. 20, 2023

Liver cancers are the fourth leading cause of cancer-related mortality worldwide. In past decade, breakthroughs in field artificial intelligence (AI) have inspired development algorithms cancer setting. A growing body recent studies evaluated machine learning (ML) and deep (DL) for pre-screening, diagnosis management liver patients through diagnostic image analysis, biomarker discovery predicting personalized clinical outcomes. Despite promise these early AI tools, there is a significant need to explain 'black box' work towards deployment enable ultimate translatability. Certain emerging fields such as RNA nanomedicine targeted therapy may also benefit from application AI, specifically nano-formulation research given that they still largely reliant on lengthy trial-and-error experiments. this paper, we put forward current landscape along with challenges management. Finally, discussed future perspectives how multidisciplinary approach using could accelerate transition medicine bench side clinic.

Language: Английский

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The Use of Artificial Intelligence in the Diagnosis and Classification of Thyroid Nodules: An Update

Cancers, Journal Year: 2023, Volume and Issue: 15(3), P. 708 - 708

Published: Jan. 24, 2023

The incidence of thyroid nodules diagnosed is increasing every year, leading to a greater risk unnecessary procedures being performed or wrong diagnoses made. In our paper, we present the latest knowledge on use artificial intelligence in diagnosing and classifying nodules. We particularly focus usefulness ultrasonography for diagnosis characterization pathology, as these are two most developed fields. search innovations, reviewed only publications specific types published from 2018 2022. analyzed 930 papers total, which selected 33 that were relevant topic work. conclusion, there great scope future nodule classification diagnosis. addition typical uses cancer differentiation, identified several other novel applications during review.

Language: Английский

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Translation of AI into oncology clinical practice

Oncogene, Journal Year: 2023, Volume and Issue: 42(42), P. 3089 - 3097

Published: Sept. 8, 2023

Language: Английский

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