Cargando…

A Survey on the Role of Artificial Intelligence in Biobanking Studies: A Systematic Review

Introduction: In biobanks, participants’ biological samples are stored for future research. The application of artificial intelligence (AI) involves the analysis of data and the prediction of any pathological outcomes. In AI, models are used to diagnose diseases as well as classify and predict disea...

Descripción completa

Detalles Bibliográficos
Autores principales:	Battineni, Gopi, Hossain, Mohmmad Amran, Chintalapudi, Nalini, Amenta, Francesco
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Systematic Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140088/ https://www.ncbi.nlm.nih.gov/pubmed/35626333 http://dx.doi.org/10.3390/diagnostics12051179

Ejemplares similares

Cascaded Deep Learning Frameworks in Contribution to the Detection of Parkinson’s Disease
por: Chintalapudi, Nalini, et al.
Publicado: (2022)

Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review
por: Battineni, Gopi, et al.
Publicado: (2022)

Improved Alzheimer’s Disease Detection by MRI Using Multimodal Machine Learning Algorithms
por: Battineni, Gopi, et al.
Publicado: (2021)

The Use of Radio and Telemedicine by TMAS Centers in Provision of Medical Care to Seafarers: A Systematic Review
por: Battineni, Gopi, et al.
Publicado: (2023)

COVID-19 virus outbreak forecasting of registered and recovered cases after sixty day lockdown in Italy: A data driven model approach
por: Chintalapudi, Nalini, et al.
Publicado: (2020)

The Benefits of Telemedicine in Personalized Prevention of Cardiovascular Diseases (CVD): A Systematic Review
por: Battineni, Gopi, et al.
Publicado: (2021)

AI Chatbot Design during an Epidemic like the Novel Coronavirus
por: Battineni, Gopi, et al.
Publicado: (2020)

Sentimental Analysis of COVID-19 Tweets Using Deep Learning Models
por: Chintalapudi, Nalini, et al.
Publicado: (2021)

Second wave of COVID-19 in Italy: Preliminary estimation of reproduction number and cumulative case projections
por: Chintalapudi, Nalini, et al.
Publicado: (2021)

Maritime Telemedicine: Design and Development of an Advanced Healthcare System Called Marine Doctor
por: Battineni, Gopi, et al.
Publicado: (2022)

A Comprehensive Machine-Learning Model Applied to Magnetic Resonance Imaging (MRI) to Predict Alzheimer’s Disease (AD) in Older Subjects
por: Battineni, Gopi, et al.
Publicado: (2020)

Conceptual Framework and Designing for a Seafarers' Health Observatory (SHO) Based on the Centro Internazionale Radio Medico (C.I.R.M.) Data Repository
por: Battineni, Gopi, et al.
Publicado: (2020)

COVID-19 outbreak reproduction number estimations and forecasting in Marche, Italy
por: Chintalapudi, Nalini, et al.
Publicado: (2020)

Assessment of Awareness and Knowledge on Novel Coronavirus (COVID-19) Pandemic among Seafarers
por: Battineni, Gopi, et al.
Publicado: (2021)

Impact of Obesity-Induced Inflammation on Cardiovascular Diseases (CVD)
por: Battineni, Gopi, et al.
Publicado: (2021)

Factors affecting the quality and reliability of online health information
por: Battineni, Gopi, et al.
Publicado: (2020)

Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network
por: Bhimavarapu, Usharani, et al.
Publicado: (2023)

Barriers to Sustainable Telemedicine Implementation in Ethiopia: A Systematic Review
por: Sagaro, Getu Gamo, et al.
Publicado: (2020)

LASSO Regression Modeling on Prediction of Medical Terms among Seafarers’ Health Documents Using Tidy Text Mining
por: Chintalapudi, Nalini, et al.
Publicado: (2022)

Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis
por: Battineni, Gopi, et al.
Publicado: (2020)

Risk prediction model of self-reported hypertension for telemedicine based on the sociodemographic, occupational and health-related characteristics of seafarers: a cross-sectional epidemiological study
por: Sagaro, Getu Gamo, et al.
Publicado: (2023)

Designing of an Expert system for the management of Seafarer’s health
por: Battineni, Gopi, et al.
Publicado: (2020)

Google Trend Analysis and Paradigm Shift of Online Education Platforms during the COVID-19 Pandemic
por: Kansal, Ashwani Kumar, et al.
Publicado: (2021)

The promise of telemedicine in Pakistan: A systematic review
por: Mahdi, Syed Sarosh, et al.
Publicado: (2022)

Artificial Intelligence in the Diagnosis of Hepatocellular Carcinoma: A Systematic Review
por: Martinino, Alessandro, et al.
Publicado: (2022)

Telemedicine framework to mitigate the impact of the COVID-19 pandemic
por: Battineni, Gopi, et al.
Publicado: (2021)

Are telemedicine systems effective healthcare solutions during the COVID-19 pandemic?
por: Battineni, Gopi, et al.
Publicado: (2021)

Hypersensitivity reaction to hyaluronic acid dermal filler after the Pfizer vaccination against SARS-CoV-2
por: Savva, Demetris, et al.
Publicado: (2021)

Prognostic role of artificial intelligence among patients with hepatocellular cancer: A systematic review
por: Lai, Quirino, et al.
Publicado: (2020)

A Two-Year Comparative Evaluation of Clinical Performance of a Nanohybrid Composite Resin to a Flowable Composite Resin
por: Badr, Carelle, et al.
Publicado: (2021)

The Role of Artificial Intelligence in Predicting Outcomes by Cardiovascular Magnetic Resonance: A Comprehensive Systematic Review
por: Assadi, Hosamadin, et al.
Publicado: (2022)

Current role of artificial intelligence in head and neck cancer surgery: a systematic review of literature
por: Loperfido, Antonella, et al.
Publicado: (2023)

The Use and Performance of Artificial Intelligence in Prosthodontics: A Systematic Review
por: Bernauer, Selina A., et al.
Publicado: (2021)

Artificial Intelligence in Colon Capsule Endoscopy—A Systematic Review
por: Moen, Sarah, et al.
Publicado: (2022)

Artificial Intelligence to Improve Antibiotic Prescribing: A Systematic Review
por: Amin, Doaa, et al.
Publicado: (2023)

Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
por: Chadaga, Krishnaraj, et al.
Publicado: (2023)

Self-Reported Modifiable Risk Factors of Cardiovascular Disease among Seafarers: A Cross-Sectional Study of Prevalence and Clustering
por: Sagaro, Getu Gamo, et al.
Publicado: (2021)

Choline-Containing Phospholipids in Stroke Treatment: A Systematic Review and Meta-Analysis
por: Sagaro, Getu Gamo, et al.
Publicado: (2023)

Artificial Intelligence for the Prediction of In-Hospital Clinical Deterioration: A Systematic Review
por: Veldhuis, Lars I., et al.
Publicado: (2022)

Machine learning and artificial intelligence in cardiac transplantation: A systematic review
por: Naruka, Vinci, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_m58sa2d0q3gm5t5843m4aukqcf