scholarly journals Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era

2021 ◽  
Vol 28 (3) ◽  
pp. 1581-1607
Author(s):  
Athanasia Mitsala ◽  
Christos Tsalikidis ◽  
Michail Pitiakoudis ◽  
Constantinos Simopoulos ◽  
Alexandra K. Tsaroucha
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Incidence Rates ◽  
Diagnosis And Treatment ◽  
Computer Assisted ◽  
Great Success ◽  
Computer Aided Detection ◽  
Medical Field ◽  
New Era

The development of artificial intelligence (AI) algorithms has permeated the medical field with great success. The widespread use of AI technology in diagnosing and treating several types of cancer, especially colorectal cancer (CRC), is now attracting substantial attention. CRC, which represents the third most commonly diagnosed malignancy in both men and women, is considered a leading cause of cancer-related deaths globally. Our review herein aims to provide in-depth knowledge and analysis of the AI applications in CRC screening, diagnosis, and treatment based on current literature. We also explore the role of recent advances in AI systems regarding medical diagnosis and therapy, with several promising results. CRC is a highly preventable disease, and AI-assisted techniques in routine screening represent a pivotal step in declining incidence rates of this malignancy. So far, computer-aided detection and characterization systems have been developed to increase the detection rate of adenomas. Furthermore, CRC treatment enters a new era with robotic surgery and novel computer-assisted drug delivery techniques. At the same time, healthcare is rapidly moving toward precision or personalized medicine. Machine learning models have the potential to contribute to individual-based cancer care and transform the future of medicine.

The Contemporary Role of Resection and Ablation in Colorectal Cancer Liver Metastases

2020 ◽  
Vol 04 (03) ◽  
pp. 291-302
Author(s):  
Mariam F. Eskander ◽  
Christopher T. Aquina ◽  
Aslam Ejaz ◽  
Timothy M. Pawlik
Keyword(s):  
Colorectal Cancer ◽  
Portal Vein ◽  
Surgical Oncology ◽  
Portal Vein Ligation ◽  
Safe Alternative ◽  
Colorectal Cancer Liver Metastases ◽  
Liver Remnant ◽  
New Era ◽  
Ablation Therapy

AbstractAdvances in the field of surgical oncology have turned metastatic colorectal cancer of the liver from a lethal disease to a chronic disease and have ushered in a new era of multimodal therapy for this challenging illness. A better understanding of tumor behavior and more effective systemic therapy have led to the increased use of neoadjuvant therapy. Surgical resection remains the gold standard for treatment but without the size, distribution, and margin restrictions of the past. Lesions are considered resectable if they can safely be removed with tumor-free margins and a sufficient liver remnant. Minimally invasive liver resections are a safe alternative to open surgery and may offer some advantages. Techniques such as portal vein embolization, association of liver partition with portal vein ligation for staged hepatectomy, and radioembolization can be used to grow the liver remnant and allow for resection. If resection is not possible, nonresectional ablation therapy, including radiofrequency and microwave ablation, can be performed alone or in conjunction with resection. This article presents the most up-to-date literature on resection and ablation, with a discussion of current controversies and future directions.

scholarly journals DNA IMAGE CYTOMETRY IN PROGNOSTICATION OF COLORECTAL CANCER: PRACTICAL CONSIDERATIONS OF THE TECHNIQUE AND INTERPRETATION OF THE HISTOGRAMS

2011 ◽  
Vol 25 (1) ◽  
pp. 1 ◽  
Author(s):  
Abdelbaset Buhmeida ◽  
Yrjo Collan ◽  
Kari Syrjanen ◽  
Seppo Pyrhonen
Keyword(s):  
Colorectal Cancer ◽  
Nuclear Dna ◽  
Image Cytometry ◽  
Computer Assisted ◽  
Dna Values ◽  
Computer Assisted Image ◽  
Analytical Approaches ◽  
Dna Image Cytometry ◽  
Dna Histograms

The role of DNA content as a prognostic factor in colorectal cancer (CRC) is highly controversial. Some of these controversies are due to purely technical reasons, e.g. variable practices in interpreting the DNA histograms, which is problematic particularly in advanced cases. In this report, we give a detailed account on various options how these histograms could be optimally interpreted, with the idea of establishing the potential value of DNA image cytometry in prognosis and in selection of proper treatment. Material consists of nuclei isolated from 50 ƒĘm paraffin sections from 160 patients with stage II, III or IV CRC diagnosed, treated and followed-up in our clinic. The nuclei were stained with the Feulgen stain. Nuclear DNA was measured using computer-assisted image cytometry. We applied 4 different approaches to analyse the DNA histograms: 1) appearance of the histogram (ABCDE approach), 2) range of DNA values, 3) peak evaluation, and 4) events present at high DNA values. Intra-observer reproducibility of these four histogram interpretation was 89%, 95%, 96%, and 100%, respectively. We depicted selected histograms to illustrate the four analytical approaches in cases with different stages of CRC, with variable disease outcome. In our analysis, the range of DNA values was the best prognosticator, i.e., the tumours with the widest histograms had the most ominous prognosis. These data implicate that DNA cytometry based on isolated nuclei is valuable in predicting the prognosis of CRC. Different interpretation techniques differed in their reproducibility, but the method showing the best prognostic value also had high reproducibility in our analysis.

MicroRNAs for Diagnosis and Treatment of Colorectal Cancer

2020 ◽  
Vol 20 ◽  
Author(s):  
Haitao Mei ◽  
Yugang Wen
Keyword(s):  
Colorectal Cancer ◽  
Disease Free Survival ◽  
Diagnosis And Treatment ◽  
High Morbidity ◽  
Circulating Micrornas ◽  
Free Survival ◽  
The Past ◽  
Common Cancer ◽  
Disease Free

: Colorectal cancer (CRC) is the third most common cancer worldwide, with high morbidity and mortality rates. The diagnosis and treatment of CRC have the most significant value for disease-free survival. Early diagnosis and early surgical resection are generally considered to be the most effective ways to reduce CRC mortality. In the past few years, many researchers have focused on the role of microRNAs in different tumors, making the functions of microRNAs gradually clear. The present study reviews the role of microRNAs in the diagnosis and treatment of colorectal cancer. Compared with the usual diagnosis methods and biomarker, circulating microRNAs can be promising new effective biomarkers for CRCdiagnosis and treatment.

The Role of Artificial Intelligence Within the Scope of Digital Transformation in Enterprises

2020 ◽  
pp. 122-146 ◽  
Author(s):  
M. Hanefi Calp
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Digital Transformation ◽  
New Era ◽  
Artificial Intelligence Techniques ◽  
Reasoning Problem ◽  
Analytical Thinking ◽  
Effective Service

Digital transformation, which is the beginning of a new era, and performed in order to provide a more effective service, has become a compulsory situation for the enterprises that take into account the increasing corporate volumes. However, the processes and technologies used in this transformation may change according to the enterprise volume and needs. At this point, activities that implement artificial intelligence technologies will make significant contributions to digital transformation. Artificial intelligence technologies serve many purposes such as search, reasoning, problem-solving, perception, learning, estimating, analytical thinking, optimization, and planning. The purpose of this chapter is to demonstrate the effects of artificial intelligence techniques on the processes of digital transformation utilized in enterprises by considering the difficulties experienced in the realization of digital transformation. It is expected that the study will provide a perspective for other studies on digital transformation and thus create an awareness.

scholarly journals Intraprocedural Artificial Intelligence for Colorectal Cancer Detection and Characterisation in Endoscopy and Laparoscopy

2021 ◽  
pp. 155335062199776 ◽  
Author(s):  
Niall P Hardy ◽  
Pól Mac Aonghusa ◽  
Peter M Neary ◽  
Ronan A Cahill
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Real Life ◽  
Computer Assisted ◽  
Technological Evolution ◽  
Exciting Field ◽  
Rapid Phase ◽  
Boom And Bust ◽  
Human Decision ◽  
Boom And Bust Cycle

In this article, we provide an evidence-based primer of current tools and evolving concepts in the area of intraprocedural artificial intelligence (AI) methods in colonoscopy and laparoscopy as a ‘procedure companion’, with specific focus on colorectal cancer recognition and characterisation. These interventions are both likely beneficiaries from an impending rapid phase in technical and technological evolution. The domains where AI is most likely to impact are explored as well as the methodological pitfalls pertaining to AI methods. Such issues include the need for large volumes of data to train AI systems, questions surrounding false positive rates, explainability and interpretability as well as recent concerns surrounding instabilities in current deep learning (DL) models. The area of biophysics-inspired models, a potential remedy to some of these pitfalls, is explored as it could allow our understanding of the fundamental physiological differences between tissue types to be exploited in real time with the help of computer-assisted interpretation. Right now, such models can include data collected from dynamic fluorescence imaging in surgery to characterise lesions by their biology reducing the number of cases needed to build a reliable and interpretable classification system. Furthermore, instead of focussing on image-by-image analysis, such systems could analyse in a continuous fashion, more akin to how we view procedures in real life and make decisions in a manner more comparable to human decision-making. Synergistical approaches can ensure AI methods usefully embed within practice thus safeguarding against collapse of this exciting field of investigation as another ‘boom and bust’ cycle of AI endeavour.

scholarly journals The Role of BRAF in Metastatic Colorectal Carcinoma–Past, Present, and Future

2020 ◽  
Vol 21 (23) ◽  
pp. 9001 ◽  
Author(s):  
Angela Djanani ◽  
Silvia Eller ◽  
Dietmar Öfner ◽  
Jakob Troppmair ◽  
Manuel Maglione
Keyword(s):  
Colorectal Cancer ◽  
Standard Of Care ◽  
Mitogen Activated Protein Kinase ◽  
Clinical Aspects ◽  
New Era ◽  
Dismal Prognosis ◽  
Negative Prognostic Factor ◽  
Extracellular Signal ◽  
Mitogen Activated Protein

With a global incidence of 1.8 million cases, colorectal cancer represents one of the most common cancers worldwide. Despite impressive improvements in treatment efficacy through cytotoxic and biological agents, the cancer-related death burden of metastatic colorectal cancer (mCRC) is still high. mCRC is not a genetically homogenous disease and various mutations influence disease development. Up to 12% of mCRC patients harbor mutations of the signal transduction molecule BRAF, the most prominent being BRAFV600E. In mCRC, BRAFV600E mutation is a well-known negative prognostic factor, and is associated with a dismal prognosis. The currently approved treatments for BRAF-mutated mCRC patients are of little impact, and there is no treatment option superior to others. However, the gradual molecular understanding over the last decades of the extracellular signal-regulated kinase/mitogen-activated protein kinase pathway, resulted in the development of new therapeutic strategies targeting the involved molecules. Recently published and ongoing studies administering a combination of different inhibitors (e.g., BRAF, MEK, and EGFR) showed promising results and represent the new standard of care. In this review, we present, both, the molecular and clinical aspects of BRAF-mutated mCRC patients, and provide an update on the current and future treatment approaches that might direct the therapy of mCRC in a new era.

scholarly journals Role of oncogenic KRAS in the prognosis, diagnosis and treatment of colorectal cancer

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Gongmin Zhu ◽  
Lijiao Pei ◽  
Hongwei Xia ◽  
Qiulin Tang ◽  
Feng Bi
Keyword(s):  
Colorectal Cancer ◽  
Routine Clinical Practice ◽  
Diagnosis And Treatment ◽  
Constitutive Activation ◽  
Downstream Signaling ◽  
Dismal Prognosis ◽  
Allele Specific ◽  
Kras Protein ◽  
Specific Inhibitors

AbstractColorectal cancer (CRC) is a heterogeneous disease at the cellular and molecular levels. Kirsten rat sarcoma (KRAS) is a commonly mutated oncogene in CRC, with mutations in approximately 40% of all CRC cases; its mutations result in constitutive activation of the KRAS protein, which acts as a molecular switch to persistently stimulate downstream signaling pathways, including cell proliferation and survival, thereby leading to tumorigenesis. Patients whose CRC harbors KRAS mutations have a dismal prognosis. Currently, KRAS mutation testing is a routine clinical practice before treating metastatic cases, and the approaches developed to detect KRAS mutations have exhibited favorable sensitivity and accuracy. Due to the presence of KRAS mutations, this group of CRC patients requires more precise therapies. However, KRAS was historically thought to be an undruggable target until the development of KRASG12C allele-specific inhibitors. These promising inhibitors may provide novel strategies to treat KRAS-mutant CRC. Here, we provide an overview of the role of KRAS in the prognosis, diagnosis and treatment of CRC.

scholarly journals The Discerning Ear: Cardiac Auscultation in the Era of Artificial Intelligence and Telemedicine

2021 ◽  
Author(s):  
Vivek Jani ◽  
David A Danford ◽  
W Reid Thompson ◽  
Andreas Schuster ◽  
Cedric Manlhiot ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Computer Assisted ◽  
Cardiac Auscultation ◽  
Cardiac Murmur ◽  
New Era ◽  
History Of ◽  
The Impact ◽  
Paradigm Shifting ◽  
Insight Into

Abstract Heart murmur, a thoracic auscultatory finding of cardiovascular origin, is extremely common in childhood and can appear at any age from premature newborn to late adolescence. The objective of this review is to provide a modern examination and update of cardiac murmur auscultation in this new era of artificial intelligence and telemedicine. First, we provide a comprehensive review of the causes and differential diagnosis, clinical features, evaluation, and long-term management of pediatric heart murmurs. Next, we provide a brief history of computer-assisted auscultation and murmur analysis, along with insight into the engineering design of the digital stethoscope. We conclude with a discussion of the paradigm shifting impact of deep learning on murmur analysis, artificial intelligence assisted auscultation, and the implications of these technologies on telemedicine in pediatric cardiology. It is our hope that this article provides an updated perspective on the impact of artificial intelligence on cardiac auscultation for the modern pediatric cardiologist.

scholarly journals Artificial Intelligence: Serving American Security and Chinese Ambitions

2020 ◽  
Vol 4 (3) ◽  
pp. 42-52
Author(s):  
H. Obeid ◽  
F Hillani, ◽  
R. Fakih ◽  
K. Mozannar
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Technological Development ◽  
The United States ◽  
New Era ◽  
The Us ◽  
The One ◽  
The Right ◽  
Technological Strength

In recent years artificial intelligence has entered a new era, which gives rise to many hopes for powerful states such as the United States and China. In this paper, we analyze the importance and role of artificial intelligence in technological development in each of the two countries on the one hand, and its influence on China-American relations in terms of technological and geopolitical conflict. To get the right results, we rely on a literature review of dozens of articles published on the phenomenon in order to compare the power of artificial intelligence between the United States and China where we found that the US still has technological strength, especially in the field of artificial intelligence, but we can say that a large force is beginning pose a threat for it which is China that has great technological capabilities so, we can say that the United States should work more in this field. Also, we found that artificial intelligence has a primary goal in both countries, it helps China to achieve its ambitions to be the leader of the world, and this intelligence, on the other hand, provides protection and security to the United States. This paper is divided into three sections. The first section focuses on the importance of artificial intelligence in achieving China’s ambitions, the second section explains the role of artificial intelligence in the US protection service, and the third section describes the technological and geopolitical conflict resulting from the competition in artificial intelligence between these two countries. Keywords: Artificial intelligence, United States, China, Conflict, leader.

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