Research graph
References from Transforming healthcare Harnessing the power of AI in the modern era. Local targets link to admitted publications; unresolved targets remain external evidence.
Artificial intelligence with big data analytics in healthcare
2020 · External reference
Regulatory approval of AI-based medical devices in Japan
2022 · External reference
Machine learning in healthcare: a review
2021 · External reference
Generative AI in rheumatology
2023 · External reference
Big data and machine learning in health care
10.1001/jama.2017.18391 · 2018 · External reference
Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model
2020 · External reference
The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database
10.1038/s41746-020-00324-0 · 2020 · External reference
The state of artificial intelligence-based FDA-approved medical devices and algorithms
10.1038/s41746-020-00324-0 · 2020 · External reference
A chatbot versus physicians to provide information for patients with breast cancer: blind, randomized controlled noninferiority trial
10.2196/15787 · 2019 · External reference
ChatGPT and the evolution of AI language tools
2023 · External reference
Of, for, and by the people: the legal lacuna of synthetic persons
10.1007/s10506-017-9214-9 · 2017 · External reference
Artificial intelligence applied to medical imaging: opportunities, challenges, and future directions
2021 · External reference
History and evolution of artificial intelligence
2020 · External reference
ChatGPT and the future of medicine
2023 · External reference
From machine learning to deep learning: advances of the recent data-driven paradigm shift in medicine and healthcare
10.1016/j.crbiot.2023.100164 · 2024 · External reference
Exploring ChatGPT in nucleic acid-based research
2023 · External reference
Machine learning and prediction in medicine—Beyond the peak of inflated expectations
10.1056/nejmp1702071 · 2017 · External reference
ChatGPT in radiology and oncology: current applications and concerns
2023 · External reference
Conversational interfaces in digital healthcare
2014 · External reference
The potential for artificial intelligence in healthcare
10.7861/futurehosp.6-2-94 · 2019 · External reference
Unresolved reference
External reference
BERT: pre-training of deep bidirectional transformers for language understanding
2018 · External reference
Big data and personalized medicine: data-driven approaches in healthcare
2022 · External reference
Large language models in healthcare
2022 · External reference
Artificial intelligence in healthcare: an overview of FDA-approved devices
2022 · External reference
Digitalization in healthcare—Mobile Health (M-Health) applications
10.52791/aksarayiibd.1241287 · 2023 · External reference
Dermatologist-level classification of skin cancer with deep neural networks
10.1038/nature21056 · 2017 · External reference
Dermatologist-level classification of skin cancer with deep neural networks
10.1038/nature21056 · 2017 · External reference
Unresolved reference
External reference
A unified framework of five principles for AI in society
2019 · External reference
A layered model for AI governance
10.1109/mic.2017.4180835 · 2017 · External reference
Ethical and legal challenges of artificial intelligence-driven healthcare
2020 · External reference
How does ChatGPT perform on the USMLE?
2023 · External reference
How machine learning will transform biomedicine
10.1016/j.cell.2020.03.022 · 2020 · External reference
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · 2016 · External reference
Deep learning and ChatGPT: a convergence
2023 · External reference
Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations
2018 · External reference
Artificial intelligence in surgery: promises and perils
10.1097/sla.0000000000002693 · 2018 · External reference
Artificial intelligence in medicine—promise, performance, and limitations
2023 · External reference
ChatGPT in mental health counseling: opportunities and risks
2023 · External reference
Unresolved reference
2019 · External reference
Near real-time intraoperative brain tumor diagnosis using deep learning
10.1038/s41591-019-0715-9 · 2020 · External reference
Artificial intelligence in healthcare: past, present and future
10.1136/svn-2017-000101 · 2017 · External reference
Artificial intelligence for closed-loop diabetes management: challenges and prospects
2023 · External reference
History of artificial intelligence in medicine
2020 · External reference
Key challenges for delivering clinical impact with artificial intelligence
10.1186/s12916-019-1426-2 · 2019 · External reference
Neural network approach in medical image recognition
1987 · External reference
Clinical implications of ChatGPT in healthcare: a review
2023 · External reference
Artificial intelligence and black-box medical decisions: accuracy versus explainability
10.1002/hast.973 · 2019 · External reference
Biosensors and AI: a review on real-time monitoring and data analytics
2023 · External reference
Can ChatGPT explain medical reports in plain language?
2023 · External reference
The future of healthcare is AI
10.1038/s41591-020-01197-2 · 2021 · External reference
ChatGPT in statistical process control education and research
2023 · External reference
Unresolved reference
1989 · External reference
The ethics of algorithms: mapping the debate
10.1177/2053951716679679 · 2016 · External reference
The ethics of algorithms: mapping the debate
10.1177/2053951716679679 · 2016 · External reference
ChatGPT in drug discovery and development
2023 · External reference
Unresolved reference
2015 · External reference
A framework for real-time feedback using wearable sensors and AI in healthcare and sports
2021 · External reference
Human feedback optimization in ChatGPT: an ethical perspective
2023 · External reference
Privacy in the age of medical big data
10.1038/s41591-018-0272-7 · 2019 · External reference
Recent advances in AI and biosensors for medical and life science applications
2023 · External reference
Machine learning in medicine
10.1056/nejmra1814259 · 2019 · External reference
Deep learning for chest radiograph diagnosis: a retrospective comparison of the CheXNeXt algorithm to practicing radiologists
10.1371/journal.pmed.1002686 · 2018 · External reference
CheXNet: radiologist-level pneumonia detection on chest x-rays with deep learning
2017 · External reference
ChatGPT in orthopedics: a revolution in diagnostics?
2023 · External reference
The promise and peril of artificial intelligence in clinical decision-making
2020 · External reference
ChatGPT in radiology: potential and limitations
2023 · External reference
A path for translation of machine learning products into healthcare delivery
2020 · External reference
AI-enabled cloud-based intelligent system for telemedicine
2022 · External reference
Mobile technology: a tool for healthcare and a boon in pandemic
10.4103/jfmpc.jfmpc_1114_21 · 2022 · External reference
Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
10.1093/annonc/mdx781 · 2018 · External reference
Comparison of mobile health application examples in Turkey and the World
2023 · External reference
A clinically applicable approach to continuous prediction of future acute kidney injury
10.1038/s41586-019-1390-1 · 2019 · External reference
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · 2019 · External reference
Unresolved reference
2019 · External reference
Unresolved reference
2017 · External reference
Supporting student mental health with AI: a social media study
2021 · External reference
Transparent, explainable, and accountable AI for robotics
10.1126/scirobotics.aan6080 · 2017 · External reference
AI in health: state of the art, challenges, and future directions
10.1055/s-0039-1677908 · 2019 · External reference
AI in healthcare: applications and challenges
2019 · External reference
Randomized controlled trial of colonoscopy with and without a real-time computer-aided detection system
2020 · External reference
Clinical information extraction applications: a literature review
10.1016/j.jbi.2017.11.011 · 2018 · External reference
Machine learning for healthcare: on the verge of a major shift in healthcare epidemiology
10.1093/cid/cix731 · 2018 · External reference
Deep learning in medical imaging
2019 · External reference
Turing and the early history of AI
2020 · External reference
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
10.1038/s41587-019-0224-x · 2019 · External reference
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
10.1001/jama.2016.17216 · ExternalCitation · doi-reference
Big data and machine learning in health care
10.1001/jama.2017.18391 · ExternalCitation · doi-reference
Artificial intelligence and black-box medical decisions: accuracy versus explainability
10.1002/hast.973 · ExternalCitation · doi-reference
Of, for, and by the people: the legal lacuna of synthetic persons
10.1007/s10506-017-9214-9 · ExternalCitation · doi-reference
How machine learning will transform biomedicine
10.1016/j.cell.2020.03.022 · ExternalCitation · doi-reference
From machine learning to deep learning: advances of the recent data-driven paradigm shift in medicine and healthcare
10.1016/j.crbiot.2023.100164 · ExternalCitation · doi-reference
Clinical information extraction applications: a literature review
10.1016/j.jbi.2017.11.011 · ExternalCitation · doi-reference
Dermatologist-level classification of skin cancer with deep neural networks
10.1038/nature21056 · ExternalCitation · doi-reference
A clinically applicable approach to continuous prediction of future acute kidney injury
10.1038/s41586-019-1390-1 · ExternalCitation · doi-reference
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
10.1038/s41587-019-0224-x · ExternalCitation · doi-reference
Privacy in the age of medical big data
10.1038/s41591-018-0272-7 · ExternalCitation · doi-reference
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · ExternalCitation · doi-reference
Near real-time intraoperative brain tumor diagnosis using deep learning
10.1038/s41591-019-0715-9 · ExternalCitation · doi-reference
The future of healthcare is AI
10.1038/s41591-020-01197-2 · ExternalCitation · doi-reference
The state of artificial intelligence-based FDA-approved medical devices and algorithms
10.1038/s41746-020-00324-0 · ExternalCitation · doi-reference
AI in health: state of the art, challenges, and future directions
10.1055/s-0039-1677908 · ExternalCitation · doi-reference
Machine learning and prediction in medicine—Beyond the peak of inflated expectations
10.1056/nejmp1702071 · ExternalCitation · doi-reference
Machine learning in medicine
10.1056/nejmra1814259 · ExternalCitation · doi-reference
Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board
10.1093/annonc/mdx781 · ExternalCitation · doi-reference
Machine learning for healthcare: on the verge of a major shift in healthcare epidemiology
10.1093/cid/cix731 · ExternalCitation · doi-reference
Artificial intelligence in surgery: promises and perils
10.1097/sla.0000000000002693 · ExternalCitation · doi-reference
A layered model for AI governance
10.1109/mic.2017.4180835 · ExternalCitation · doi-reference
Transparent, explainable, and accountable AI for robotics
10.1126/scirobotics.aan6080 · ExternalCitation · doi-reference
Artificial intelligence in healthcare: past, present and future
10.1136/svn-2017-000101 · ExternalCitation · doi-reference
The ethics of algorithms: mapping the debate
10.1177/2053951716679679 · ExternalCitation · doi-reference
Key challenges for delivering clinical impact with artificial intelligence
10.1186/s12916-019-1426-2 · ExternalCitation · doi-reference
Deep learning for chest radiograph diagnosis: a retrospective comparison of the CheXNeXt algorithm to practicing radiologists
10.1371/journal.pmed.1002686 · ExternalCitation · doi-reference
A chatbot versus physicians to provide information for patients with breast cancer: blind, randomized controlled noninferiority trial
10.2196/15787 · ExternalCitation · doi-reference
Mobile technology: a tool for healthcare and a boon in pandemic
10.4103/jfmpc.jfmpc_1114_21 · ExternalCitation · doi-reference
Digitalization in healthcare—Mobile Health (M-Health) applications
10.52791/aksarayiibd.1241287 · ExternalCitation · doi-reference
The potential for artificial intelligence in healthcare
10.7861/futurehosp.6-2-94 · ExternalCitation · doi-reference
