Colorectal Disease, Journal Year: 2024, Volume and Issue: 26(10), P. 1842 - 1843
Published: Aug. 19, 2024
Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
Language: Английский
Frontiers in Medicine, Journal Year: 2023, Volume and Issue: 10
Published: March 8, 2023
In the past few decades, according to rapid development of information technology, artificial intelligence (AI) has also made significant progress in medical field. Colorectal cancer (CRC) is third most diagnosed worldwide, and its incidence mortality rates are increasing yearly, especially developing countries. This article reviews latest AI diagnosing treating CRC based on a systematic collection previous literature. Most CRCs transform from polyp mutations. The computer-aided detection systems can significantly improve adenoma rate by early colonoscopy screening, thereby lowering possibility mutating into CRC. Machine learning bioinformatics analysis help screen identify more biomarkers provide basis for non-invasive screening. Convolutional neural networks assist reading histopathologic tissue images, reducing experience difference among doctors. Various studies have shown that AI-based high-level auxiliary diagnostic readability images clinicians make accurate therapeutic decisions. Moreover, Robotic surgery such as da Vinci been commonly used treat patients, their precise operating performance. application neoadjuvant chemoradiotherapy further improved treatment efficacy evaluation addition, represented deep gene sequencing research offers new option. All these things seen promising prospect era precision medicine.
Language: Английский
Citations
46
Frontiers in Surgery, Journal Year: 2024, Volume and Issue: 11
Published: May 9, 2024
Surgeons are skilled at making complex decisions over invasive procedures that can save lives and alleviate pain avoid complications in patients. The knowledge to make these is accumulated years of schooling practice. Their experience turn shared with others, also via peer-reviewed articles, which get published larger amounts every year. In this work, we review the literature related use Artificial Intelligence (AI) surgery. We focus on what currently available likely come near future both clinical care research. show AI has potential be a key tool elevate effectiveness training decision-making surgery discovery relevant valid scientific surgical domain. address concerns about technology, including inability for users interpret algorithms as well incorrect predictions. A better understanding will allow surgeons new tools wisely benefit their
Language: Английский
Citations
18
Diagnostics, Journal Year: 2024, Volume and Issue: 14(2), P. 174 - 174
Published: Jan. 12, 2024
Pancreatic cancer is a highly aggressive and difficult-to-detect with poor prognosis. Late diagnosis common due to lack of early symptoms, specific markers, the challenging location pancreas. Imaging technologies have improved diagnosis, but there still room for improvement in standardizing guidelines. Biopsies histopathological analysis are tumor heterogeneity. Artificial Intelligence (AI) revolutionizes healthcare by improving treatment, patient care. AI algorithms can analyze medical images precision, aiding disease detection. also plays role personalized medicine analyzing data tailor treatment plans. It streamlines administrative tasks, such as coding documentation, provides assistance through chatbots. However, challenges include privacy, security, ethical considerations. This review article focuses on potential transforming pancreatic care, offering diagnostics, treatments, operational efficiency, leading better outcomes.
Language: Английский
Citations
17
Deleted Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 6, 2025
Abstract Artificial intelligence (AI) is rapidly advancing, yet its applications in radiology remain relatively nascent. From a spatiotemporal perspective, this review examines the forces driving AI development and integration with medicine radiology, particular focus on advancements addressing major diseases that significantly threaten human health. Temporally, advent of foundational model architectures, combined underlying drivers development, accelerating progress interventions their practical applications. Spatially, discussion explores potential evolving methodologies to strengthen interdisciplinary within medicine, emphasizing four critical points imaging process, as well application disease management, including emergence commercial products. Additionally, current utilization deep learning reviewed, future through multimodal foundation models Generative Pre‐trained Transformer are anticipated.
Language: Английский
Citations
2
Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13
Published: Jan. 25, 2023
Artificial Intelligence (AI) is a branch of computer science that utilizes optimization, probabilistic and statistical approaches to analyze make predictions based on vast amount data. In recent years, AI has revolutionized the field oncology spearheaded novel in management various cancers, including colorectal cancer (CRC). Notably, applications diagnose, prognosticate, predict response therapy CRC, gaining traction proving be promising. There have also been several advancements technologies help metastases CRC Computer-Aided Detection (CAD) Systems improve miss rates for neoplasia. This article provides comprehensive review role predicting risk, prognosis, therapies among patients with CRC.
Language: Английский
Citations
20
Surgical Endoscopy, Journal Year: 2023, Volume and Issue: 37(11), P. 8778 - 8784
Published: Aug. 14, 2023
Language: Английский
Citations
11
World Journal of Gastrointestinal Oncology, Journal Year: 2025, Volume and Issue: 17(3)
Published: Feb. 13, 2025
Gastrointestinal (GI) cancers are highly prevalent and considered a major global health challenge. Their approach has undergone remarkable transformation over the past years due to development of new technologies that enabled better outcomes regarding their diagnosis management. These include artificial intelligence, robotics, next-generation sequencing personalized medicine. Nonetheless, integration these advances into everyday clinical practice remains complex challenging as we still trying figure out if innovations tangibly improve oncological or current state art should remain gold standard for treatment patients. Additionally, there also some issues ethical subjects, data privacy, finances governance. Precision surgery concept evolved considerably decades, especially It aims customize medical treatments operate on those patients who most likely will benefit from specific surgical procedure. In future, GI outcomes, delicate balance between technological adoption evidence-based care be chased. As move forward, question harness power innovation while keeping up highest standards patient care.
Language: Английский
Citations
0
Cureus, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 24, 2025
The role of artificial intelligence (AI) tools and deep learning in medical practice the management colorectal cancer has gathered significant attention recent years. Colorectal cancer, being third most common type malignancy, requires an innovative approach to augment early detection advanced surgical techniques reduce morbidity mortality. With its emerging potential, AI improves by assisting with accuracy screening, pathology evaluation, precision, postoperative care. Evidence suggests that minimizes missed cases during plays a promising imaging diagnoses, facilitates accurate staging. In management, demonstrates comparable or superior outcomes laparoscopic approaches, reduced hospital stays conversion rates. However, these are influenced clinical expertise other dependable factors, including implementing AI-based software detecting possible errors. Despite advancements, limited multicenter studies randomized trials restrict comprehensive evaluation AI's true potential integration into standard practice. We used Pubmed, Google Scholar, Cochrane Library, Scopus databases for this review. final number articles selected, depending on inclusion exclusion criteria, is 122. included papers published English language, literature last 10 years, adult patient populations above 35 years cancer. thoroughly controlled trials, cohort studies, meta-analyses, systematic reviews, narrative case-control studies. use paves way adoption more personalized medicine. This review highlights advantages at various disease stages patients evaluates cost-effective implementation
Language: Английский
Citations
0
Pflügers Archiv - European Journal of Physiology, Journal Year: 2025, Volume and Issue: unknown
Published: March 15, 2025
Language: Английский
Citations
0
Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(23), P. 7108 - 7108
Published: Nov. 24, 2024
: Artificial Intelligence (AI) holds promise for transforming healthcare, with AI models gaining increasing clinical use in surgery. However, new are developed without established standards their validation and use. Before can be widely adopted, it is crucial to ensure these both accurate safe patients. Without proper validation, there a risk of integrating into practice sufficient evidence safety accuracy, potentially leading suboptimal patient outcomes. In this work, we review the current methods surgical settings propose novel classification system.
Language: Английский
Citations
3