# Artificial Intelligence in Healthcare and Education

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers explores the intersection of artificial intelligence and medicine, focusing on applications in healthcare, medical imaging, clinical decision support, and the ethical challenges associated with AI implementation. It delves into topics such as machine learning, big data, precision medicine, and the potential impact of AI on health equity. |
| Domain | Health Sciences |
| Field | Medicine |
| OpenAlex ID | t11636 |
| Works | 509 |

## Topic papers all

Showing 15 of 509.

- [Artificial intelligence in healthcare: past, present and future](https://scholariq.org/papers/artificial-intelligence-in-healthcare-past-present-and-future/)
- [Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy](https://scholariq.org/papers/opinion-paper-so-what-if-chatgpt-wrote-it-multidisciplinary-perspectives-on/)
- [Can AI Help in Screening Viral and COVID-19 Pneumonia?](https://scholariq.org/papers/can-ai-help-in-screening-viral-and-covid-19-pneumonia/)
- [Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data](https://scholariq.org/papers/potential-biases-in-machine-learning-algorithms-using-electronic-health-record/)
- [<p>Taiwan’s National Health Insurance Research Database: past and future</p>](https://scholariq.org/papers/and-lt-p-and-gt-taiwan-s-national-health-insurance-research-database-past-and/)
- [Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations](https://scholariq.org/papers/machine-learning-and-prediction-in-medicine-beyond-the-peak-of-inflated/)
- [Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension](https://scholariq.org/papers/reporting-guidelines-for-clinical-trial-reports-for-interventions-involving/)
- [Artificial Intelligence in Precision Cardiovascular Medicine](https://scholariq.org/papers/artificial-intelligence-in-precision-cardiovascular-medicine/)
- [In AI we trust? Perceptions about automated decision-making by artificial intelligence](https://scholariq.org/papers/in-ai-we-trust-perceptions-about-automated-decision-making-by-artificial/)
- [Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis](https://scholariq.org/papers/diagnostic-accuracy-of-deep-learning-in-medical-imaging-a-systematic-review-and/)
- [International consensus statement on the peri‐operative management of anaemia and iron deficiency](https://scholariq.org/papers/international-consensus-statement-on-the-peri-operative-management-of-anaemia/)
- [Swarm Learning for decentralized and confidential clinical machine learning](https://scholariq.org/papers/swarm-learning-for-decentralized-and-confidential-clinical-machine-learning/)
- [Predictive data mining in clinical medicine: Current issues and guidelines](https://scholariq.org/papers/predictive-data-mining-in-clinical-medicine-current-issues-and-guidelines/)
- [Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy](https://scholariq.org/papers/medical-robotics-regulatory-ethical-and-legal-considerations-for-increasing/)
- [Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence](https://scholariq.org/papers/evaluation-and-accurate-diagnoses-of-pediatric-diseases-using-artificial/)

## Topic primary papers

Showing 15 of 247.

- [Artificial intelligence in healthcare: past, present and future](https://scholariq.org/papers/artificial-intelligence-in-healthcare-past-present-and-future/)
- [Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy](https://scholariq.org/papers/opinion-paper-so-what-if-chatgpt-wrote-it-multidisciplinary-perspectives-on/)
- [<p>Taiwan’s National Health Insurance Research Database: past and future</p>](https://scholariq.org/papers/and-lt-p-and-gt-taiwan-s-national-health-insurance-research-database-past-and/)
- [Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension](https://scholariq.org/papers/reporting-guidelines-for-clinical-trial-reports-for-interventions-involving/)
- [Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis](https://scholariq.org/papers/diagnostic-accuracy-of-deep-learning-in-medical-imaging-a-systematic-review-and/)
- [Swarm Learning for decentralized and confidential clinical machine learning](https://scholariq.org/papers/swarm-learning-for-decentralized-and-confidential-clinical-machine-learning/)
- [Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy](https://scholariq.org/papers/medical-robotics-regulatory-ethical-and-legal-considerations-for-increasing/)
- [Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension](https://scholariq.org/papers/guidelines-for-clinical-trial-protocols-for-interventions-involving-artificial/)
- [The coming of age of artificial intelligence in medicine](https://scholariq.org/papers/the-coming-of-age-of-artificial-intelligence-in-medicine/)
- [Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI](https://scholariq.org/papers/reporting-guideline-for-the-early-stage-clinical-evaluation-of-decision-support/)
- [Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model](https://scholariq.org/papers/assessing-the-accuracy-and-reliability-of-ai-generated-medical-responses-an/)
- [Testing and Evaluation of Health Care Applications of Large Language Models](https://scholariq.org/papers/testing-and-evaluation-of-health-care-applications-of-large-language-models/)
- [Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness](https://scholariq.org/papers/machine-learning-and-artificial-intelligence-research-for-patient-benefit-20/)
- [How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals](https://scholariq.org/papers/how-medical-ai-devices-are-evaluated-limitations-and-recommendations-from-an/)
- [Accuracy and Reliability of Chatbot Responses to Physician Questions](https://scholariq.org/papers/accuracy-and-reliability-of-chatbot-responses-to-physician-questions/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.