Evidence
J Med Eng Technol. 2024 Apr 16:1-20. doi: 10.1080/03091902.2024.2321846. Online ahead of print.
ABSTRACT
Researchers and scientists can use computational-based models to turn linked data into useful information, aiding in disease diagnosis, examination, and viral containment due to recent artificial intelligence and machine learning breakthroughs. In this paper, we extensively study the role of artificial intelligence and machine learning in delivering efficient responses to the COVID-19 pandemic almost four years after its start. In this regard, we examine a large number of critical studies conducted by various academic and research communities from multiple disciplines, as well as practical implementations of artificial intelligence algorithms that suggest potential solutions in investigating different COVID-19 decision-making scenarios. We identify numerous areas where artificial intelligence and machine learning can impact this context, including diagnosis (using chest X-ray imaging and CT imaging), severity, tracking, treatment, and the drug industry. Furthermore, we analyse the dilemma’s limits, restrictions, and hazards.
PMID:38625639 | DOI:10.1080/03091902.2024.2321846
Add to Google Keep
Estimated reading time: 3 minute(s)
Latest: Psychiatryai.com #RAISR4D
Cool Evidence: Engaging Young People and Students in Real-World Evidence ☀️
Real-Time Evidence Search [Psychiatry]
AI Research [Andisearch.com]
Artificial intelligence and machine learning responses to COVID-19 related inquiries
🌐 90 Days
VR Related Evidence Matrix
- The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms
- The role of artificial intelligence in psychiatry
- Artificial Intelligence and Computational Biology in Gene Therapy: A Review
- ORA collection on AI & Machine Learning launch event
- Exploring the potential of machine learning in gynecological care: a review
- Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
- Artificial intelligence in positive mental health: a narrative review
- Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery
- Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
- Enhanced skin burn assessment through transfer learning: a novel framework for human tissue analysis
- Generative artificial intelligence in surgery
- Trends in cardiology and oncology artificial intelligence publications
- Training an Ising machine with equilibrium propagation
- Machine learning in internet financial risk management: A systematic literature review
- Research to Improve Clinical Care in Family Medicine: Big Data, Telehealth, Artificial Intelligence, and More
- The role of artificial intelligence in knowledge management for medical students and doctors
- Application of Artificial Intelligence in tissue engineering
- Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
- Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology
- Artificial intelligence in colonoscopy: from detection to diagnosis
- The Integration and Impact of Artificial Intelligence in Otolaryngology-Head and Neck Surgery: Navigating the Last Mile
- Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis
- Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
- Letter: Chat-GPT on brain tumors: An examination of Artificial Intelligence/Machine Learning's ability to provide diagnoses and treatment plans for example neuro-oncology cases
- Artificial intelligence- image learning and its applications in neurooncology: a review
- Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
- Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT
- Development of an artificial intelligence system to improve cancer clinical trial eligibility screening
- Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis
- The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review
- Keratoconus: exploring fundamentals and future perspectives - a comprehensive systematic review
- How Artificial Intelligence Unravels the Complex Web of Cancer Drug Response
- Explainable geospatial-artificial intelligence models for the estimation of PM(2.5) concentration variation during commuting rush hours in Taiwan
- Evaluating the effectiveness of artificial intelligence-based tools in detecting and understanding sleep health misinformation: Comparative analysis using Google Bard and OpenAI ChatGPT-4
- Contribution of Artificial Intelligence to the Identification of Protein-Protein Interactions: A Case Study on PAR-3 and Its Partner Adapter Molecule Crk
- A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke
- Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome
- Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System
- Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching
- Radiomics and Artificial Intelligence in Renal Lesion Assessment
- Neuroimage analysis using artificial intelligence approaches: a systematic review
- Artificial Intelligence and Machine Learning tools for improving Early Warning systems of volcanic eruptions: the case of Stromboli
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
- A Beginner's Guide to Artificial Intelligence for Ophthalmologists
- What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
- Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
- Utilizing geospatial artificial intelligence to map cancer disparities across health regions
- Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology
- A novel activation function based on DNA enzyme-free hybridization reaction and its implementation on nonlinear molecular learning systems
- Harnessing artificial intelligence, machine learning, and novel approaches to tackle mortality in acute type a aortic dissection
- Machine learning approaches to predict TAS2R receptors for bitterants
- Advances in artificial intelligence in thyroid-associated ophthalmopathy
- Integration analysis of cell division cycle-associated family genes revealed potential mechanisms of gliomagenesis and constructed an artificial intelligence-driven prognostic signature
- A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
- Advances in research and application of artificial intelligence and radiomic predictive models based on intracranial aneurysm images
- Leveraging explainable artificial intelligence to optimize clinical decision support
- Systematic review of machine learning in PTSD studies for automated diagnosis evaluation
- Artificial Intelligence/Machine Learning: The New Frontier of Clinical Pharmacology and Precision Medicine
- Predictive health monitoring: Leveraging artificial intelligence for early detection of infectious diseases in nursing home residents through discontinuous vital signs analysis
- Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods
- A practical guide to the implementation of artificial intelligence in orthopaedic research-Part 2: A technical introduction
- Advancements and turning point of artificial intelligence in ophthalmology: A comprehensive analysis of research trends and collaborative networks
- Prediction of attention deficit hyperactivity disorder based on explainable artificial intelligence
- Determination of minimum inhibitory concentrations using machine-learning-assisted agar dilution
Evidence Blueprint
Artificial intelligence and machine learning responses to COVID-19 related inquiries
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
Artificial intelligence and machine learning responses to COVID-19 related inquiries
🌐 365 Days
VR Related Evidence Matrix
- The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms
- The role of artificial intelligence in psychiatry
- Artificial Intelligence and Computational Biology in Gene Therapy: A Review
- ORA collection on AI & Machine Learning launch event
- Exploring the potential of machine learning in gynecological care: a review
- Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
- Artificial intelligence in positive mental health: a narrative review
- Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery
- Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review
- Enhanced skin burn assessment through transfer learning: a novel framework for human tissue analysis
- Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
- Study shows that the way the brain learns is different from the way that artificial intelligence systems learn
- Generative artificial intelligence in surgery
- Trends in cardiology and oncology artificial intelligence publications
- Training an Ising machine with equilibrium propagation
- Machine learning in internet financial risk management: A systematic literature review
- Research to Improve Clinical Care in Family Medicine: Big Data, Telehealth, Artificial Intelligence, and More
- The role of artificial intelligence in knowledge management for medical students and doctors
- Application of Artificial Intelligence in tissue engineering
- Artificial intelligence in mental healthcare: a scoping review
- Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls
- Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection
- Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology
- Artificial intelligence in colonoscopy: from detection to diagnosis
- The Integration and Impact of Artificial Intelligence in Otolaryngology-Head and Neck Surgery: Navigating the Last Mile
- Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis
- Explainable and Interpretable Machine Learning for Antimicrobial Stewardship: Opportunities and Challenges
- Artificial intelligence for dementia research methods optimization
- Letter: Chat-GPT on brain tumors: An examination of Artificial Intelligence/Machine Learning's ability to provide diagnoses and treatment plans for example neuro-oncology cases
- Artificial intelligence- image learning and its applications in neurooncology: a review
- Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery
- Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT
- Development of an artificial intelligence system to improve cancer clinical trial eligibility screening
- Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023)
- Application of artificial intelligence in the diagnosis, treatment, and recurrence prediction of peritoneal carcinomatosis
- The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review
- An Overview of Bipolar Disorder Diagnosis Using Machine Learning Approaches: Clinical Opportunities and Challenges
- Keratoconus: exploring fundamentals and future perspectives - a comprehensive systematic review
- Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis
- How Artificial Intelligence Unravels the Complex Web of Cancer Drug Response
- Explainable geospatial-artificial intelligence models for the estimation of PM(2.5) concentration variation during commuting rush hours in Taiwan
- Evaluating the effectiveness of artificial intelligence-based tools in detecting and understanding sleep health misinformation: Comparative analysis using Google Bard and OpenAI ChatGPT-4
- Rethinking Dementia Risk Prediction: A Critical Evaluation of a Multimodal Machine Learning Predictive Model
- Examining the Impact of Assistive Technology on the Talent Development Path in AI-Driven Vocational Education
- Contribution of Artificial Intelligence to the Identification of Protein-Protein Interactions: A Case Study on PAR-3 and Its Partner Adapter Molecule Crk
- A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke
- Artificial Intelligence in Evaluation of Permanent Impairment: New Operational Frontiers
- Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome
- Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System
- Testamentary capacity assessment in dementia using artificial intelligence: prospects and challenges
- Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching
- Radiomics and Artificial Intelligence in Renal Lesion Assessment
- Neuroimage analysis using artificial intelligence approaches: a systematic review
- Artificial Intelligence and Machine Learning tools for improving Early Warning systems of volcanic eruptions: the case of Stromboli
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning
- Mobile applications in COVID-19 detection and diagnosis: an efficient tool to control the future pandemic; a multidimensional systematic review of the state of the art
- Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging
- A Beginner's Guide to Artificial Intelligence for Ophthalmologists
- What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
- Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment
- Utilizing geospatial artificial intelligence to map cancer disparities across health regions
- Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology
- A primer on the use of machine learning to distil knowledge from data in biological psychiatry
- A novel activation function based on DNA enzyme-free hybridization reaction and its implementation on nonlinear molecular learning systems