A systematic review on artificial intelligence evaluating metastatic prostatic cancer and lymph nodes on psma pet scans
J Liu, TP Cundy, DTS Woon, N Lawrentschuk - Cancers, 2024 - mdpi.com
Simple Summary This systematic review demonstrated that artificial intelligence (AI) can
help detect metastatic prostate cancer with or without lymph node involvement on prostate …
help detect metastatic prostate cancer with or without lymph node involvement on prostate …
Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability …
G Pacella, MC Brunese, E D'Imperio… - Journal of Clinical …, 2023 - mdpi.com
Background: Pancreatic ductal adenocarcinoma (PDAC) is the seventh leading cause of
cancer-related deaths worldwide. Surgical resection is the main driver to improving survival …
cancer-related deaths worldwide. Surgical resection is the main driver to improving survival …
Explainable deep fuzzy cognitive map diagnosis of coronary artery disease: Integrating myocardial perfusion imaging, clinical data, and natural language insights
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …
identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as …
Diagnoses in multiple types of cancer based on serum Raman spectroscopy combined with a convolutional neural network: Gastric cancer, colon cancer, rectal cancer …
Y Du, L Hu, G Wu, Y Tang, X Cai, L Yin - Spectrochimica Acta Part A …, 2023 - Elsevier
Cancer is one of the major diseases that seriously threaten human health. Timely screening
is beneficial to the cure of cancer. There are some shortcomings in current diagnosis …
is beneficial to the cure of cancer. There are some shortcomings in current diagnosis …
Nursing Intervention of Children's Lower Limb Chronic Wound Healing under Artificial Intelligence
M Hao, J Sun - IEEE Access, 2023 - ieeexplore.ieee.org
This work aimed to compare the effect of family-centered nursing and routine nursing on the
treatment of children with chronic lower limb wounds. A total of 112 children with chronic …
treatment of children with chronic lower limb wounds. A total of 112 children with chronic …
[HTML][HTML] Machine Learning Mediated Advanced Phage and Antimicrobial Therapy-A Futuristic Approach
The emergence of antimicrobial resistance (AMR) has overwhelmed the contemporary
curatives and have turned into one of the major challenges in the biomedical sector. With …
curatives and have turned into one of the major challenges in the biomedical sector. With …
Binding Affinity Prediction with 3D Machine Learning: Training Data and Challenging External Testing
JC Gómez-Tamayo, L Cao, M Ahmad, G Tresadern - 2024 - chemrxiv.org
Protein-ligand binding affinity prediction is one of the major challenges in computational
assisted drug discovery. An active area of research uses machine learning (ML) models …
assisted drug discovery. An active area of research uses machine learning (ML) models …
Classifier Based on Neural Networks to Determine the Patient's Speech State
D Novokhrestova, S Tomilina, P Laptev… - … on Intelligent Information …, 2024 - Springer
In this study, a classifier based on neural networks is proposed to assess the state of speech
of patients who have undergone hemiglossectomy–surgical treatment for tongue cancer …
of patients who have undergone hemiglossectomy–surgical treatment for tongue cancer …
A CNN-based Analysis of Radiological Parameters from CT images: Improving Surgical Outcomes in Soft Tissue Sarcoma Patients with Pulmonary Metastases
K Solander - 2023 - diva-portal.org
Soft tissue sarcoma (STS) patients with pulmonary metastases (PM) experience a significant
decrease in 5-year survival rates, ranging from 15% to 50% compared to 81% without …
decrease in 5-year survival rates, ranging from 15% to 50% compared to 81% without …
Prognostic Value of a Combined Nomogram Model Integrating 3-Dimensional Deep Learning and Radiomics for Head and Neck Cancer
S Li, J Xie, J Liu, Y Wu, Z Wang, Z Cao… - Journal of Computer …, 2022 - journals.lww.com
Objective The preoperative prediction of the overall survival (OS) status of patients with head
and neck cancer (HNC) is significant value for their individualized treatment and prognosis …
and neck cancer (HNC) is significant value for their individualized treatment and prognosis …