Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review

Cancers, Journal Year: 2023, Volume and Issue: 15(6), P. 1837 - 1837

Published: March 18, 2023

An accurate diagnosis of bone tumours on imaging is crucial for appropriate and successful treatment. The advent Artificial intelligence (AI) machine learning methods to characterize assess various modalities may assist in the diagnostic workflow. purpose this review article summarise most recent evidence AI techniques using differentiating benign from malignant lesions, characterization their potential clinical application. A systematic search through electronic databases (PubMed, MEDLINE, Web Science, clinicaltrials.gov) was conducted according Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines. total 34 articles were retrieved key findings compiled summarised. reported use distinguish between vs. which 12 (35.3%) focused radiographs, MRI, 5 (14.7%) CT PET/CT. overall accuracy, sensitivity, specificity distinguishing lesions ranges 0.44-0.99, 0.63-1.00, 0.73-0.96, respectively, with AUCs 0.73-0.96. In conclusion, discriminate has achieved a relatively good performance modalities, high specificity, accuracy several cohort studies. However, further research necessary test these algorithms before they can be facilitated integrated into routine practice.

Language: Английский

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Current Trends in Artificial Intelligence-Assisted Spine Surgery: A Systematic Review

Asian Spine Journal, Journal Year: 2023, Volume and Issue: 18(1), P. 146 - 157

Published: Dec. 22, 2023

This systematic review summarizes existing evidence and outlines the benefits of artificial intelligence-assisted spine surgery. The popularity intelligence has grown significantly, demonstrating its in computer-assisted surgery advancements spinal treatment. study adhered to PRISMA (Preferred Reporting Items for Systematic Reviews Meta-Analyses), a set reporting guidelines specifically designed reviews meta-analyses. search strategy used Medical Subject Headings (MeSH) terms, including “MeSH (Artificial intelligence),” “Spine” AND “Spinal” filters, last 10 years, English— from January 1, 2013, October 31, 2023. In total, 442 articles fulfilled first screening criteria. A detailed analysis those identified 220 that matched criteria, which 11 were considered appropriate this after applying complete inclusion exclusion studies met eligibility Analysis these revealed types No suggests superiority assisted with or without terms outcomes. feasibility, accuracy, safety, facilitating lower patient radiation exposure compared standard fluoroscopic guidance, produced satisfactory superior incorporation augmented virtual reality appears promising, potential enhance surgeon proficiency overall surgical safety.

Language: Английский

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Technology Adoption in Healthcare – a Modified Tam Model & Empirical Analysis

Published: Jan. 1, 2025

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

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Spinal Metastasis—Imaging Using XAI and RAI Techniques

Published: March 3, 2025

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Artificial intelligence utilization in cancer screening program across ASEAN: a scoping review

BMC Cancer, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 15, 2025

Cancer remains a significant health challenge in the ASEAN region, highlighting need for effective screening programs. However, approaches, target demographics, and intervals vary across member states, necessitating comprehensive understanding of these variations to assess program effectiveness. Additionally, while artificial intelligence (AI) holds promise as tool cancer screening, its utilization region is unexplored. This study aims identify evaluate different programs ASEAN, with focus on assessing integration impact AI A scoping review was conducted using PRISMA-ScR guidelines provide overview usage ASEAN. Data were collected from government ministries, official guidelines, literature databases, relevant documents. The use reviews involved searches through PubMed, Scopus, Google Scholar inclusion criteria only included studies that utilized data January 2019 May 2024. findings reveal diverse approaches Countries like Myanmar, Laos, Cambodia, Vietnam, Brunei, Philippines, Indonesia Timor-Leste primarily adopt opportunistic Singapore, Malaysia, Thailand organized Cervical widespread, both methods. Fourteen review, covering breast (5 studies), cervical (2 colon (4 hepatic (1 study), lung oral study) cancers. Studies revealed stages screening: prospective clinical evaluation (50%), silent trial (36%) exploratory model development (14%), promising results enhancing accuracy efficiency. require more targeting appropriate age groups at regular meet WHO's 2030 targets. Efforts integrate Thailand, show optimizing processes, reducing costs, improving early detection. technology enhances identification during detection management region.

Language: Английский

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AI in the Field of Healthcare: A New Paradigm Examining Facilitators and Biases Through SEM-ANN

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: July 22, 2024

Language: Английский

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Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review

Cancers, Journal Year: 2024, Volume and Issue: 16(17), P. 2988 - 2988

Published: Aug. 28, 2024

In spinal oncology, integrating deep learning with computed tomography (CT) imaging has shown promise in enhancing diagnostic accuracy, treatment planning, and patient outcomes. This systematic review synthesizes evidence on artificial intelligence (AI) applications CT for tumors. A PRISMA-guided search identified 33 studies: 12 (36.4%) focused detecting malignancies, 11 (33.3%) classification, 6 (18.2%) prognostication, 3 (9.1%) 1 (3.0%) both detection classification. Of the classification studies, 7 (21.2%) used machine to distinguish between benign malignant lesions, evaluated tumor stage or grade, 2 (6.1%) employed radiomics biomarker Prognostic studies included three that predicted complications such as pathological fractures AI's potential improving workflow efficiency, aiding decision-making, reducing is discussed, along its limitations generalizability, interpretability, clinical integration. Future directions AI oncology are also explored. conclusion, while technologies promising, further research necessary validate their effectiveness optimize integration into routine practice.

Language: Английский

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Evaluate the in vitro effect of anthracycline and alkylating cytophosphane chemotherapeutics on dopaminergic neurons

Cancer Reports, Journal Year: 2024, Volume and Issue: 7(4)

Published: April 1, 2024

Abstract Background Iatrogenesis is an inevitable global threat to healthcare that drastically increases morbidity and mortality. Cancer a fatal pathological condition affects people of different ages, sexes, races around the world. In addition detrimental cancer pathology, one most common contraindications challenges observed in patients severe adverse drug effects hypersensitivity reactions induced by chemotherapy. Chemotherapy‐induced cognitive neurotoxicity clinically referred as impairment (CICI), chemobrain, or chemofog. CICI, chemotherapy also causes neuropsychiatric issues, mental disorders, hyperarousal states, movement disorders. A synergistic regimen Doxorubicin (Anthracycline‐DOX) Cyclophosphamide (Alkylating Cytophosphane‐CPS) indicated for management various cancers (breast cancer, lymphoma, leukemia). Nevertheless, there are limited research studies on Cyclophosphamide's pharmacodynamic toxicological dopaminergic neuronal function. Aim This study evaluated neurotoxic Cyclophosphamide. Methods Results were incubated with (N27) neurons. Neuronal viability was assessed using MTT assay. The effect prooxidants, antioxidants, mitochondrial Complex‐I & IV activities, BAX expression Spectroscopic, Fluorometric, RT‐PCR methods, respectively. Prism‐V software (La Jolla, CA, USA) used statistical analysis. Chemotherapeutics dose‐dependently inhibited proliferation mechanism attributed significant increase decrease augmented apoptosis without affecting Conclusion first reports reveal induce neurotoxicity. Thus, reaction issues substantially persist during after treatment sometimes never be completely resolved clinically. Consequently, failure adopt adequate patient care measures treated certain chemotherapeutics might raise incidence numerous

Language: Английский

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The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications

North American Spine Society Journal (NASSJ), Journal Year: 2023, Volume and Issue: 15, P. 100236 - 100236

Published: June 20, 2023

Artificial intelligence is a revolutionary technology that promises to assist clinicians in improving patient care. In radiology, deep learning (DL) widely used clinical decision aids due its ability analyze complex patterns and images. It allows for rapid, enhanced data, imaging analysis, from diagnosis outcome prediction. The purpose of this study was evaluate the current literature utilization DL spine imaging.

Language: Английский

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Radiomics and radiogenomics of central nervous system metastatic lesions

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 235 - 249

Published: Jan. 1, 2024

Language: Английский

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