ReviewCureus2024
Redefining Healthcare With Artificial Intelligence (AI): The Contributions of ChatGPT, Gemini, and Co-pilot.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed.
- Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.BMC medical education · 2025Trial
- Evaluating large language model responses to patient questions on ulnar collateral ligament repair.Clinics in shoulder and elbow · 2026Article
- AI-based decision support in pediatric dentistry: a comparative study of ChatGPT-5 and gemini advanced.BMC oral health · 2026Article
- Assessing the informatics utility of artificial intelligence chatbots for patient and clinician support: the case of adrenal incidentaloma.Endocrine · 2026Article
- AI-enabled multi-omics integration in colorectal cancer: from molecular stratification to clinical translation.Frontiers in cell and developmental biology · 2026Review
- "I Believe in You": Student Experiences of Faculty Empathy in Health Sciences Education.Advances in medical education and practice · 2026Article
- Comparison of different artificial intelligence tools' answers to questions related to early intervention: ChatGPT versus Gemini.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Modeling Behavioral Determinants of Following and Verifying AI-Generated Health Advice: The Roles of eHealth Literacy, Cognitive Load, and Technology Self-Efficacy.Journal of multidisciplinary healthcare · 2026Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 on English-translated questions from the Taiwan national dental Technician Licensing examination over a three-week period.Journal of dental sciences · 2026Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 in answering the prompt-engineered questions from the Taiwan National Dental Technician Licensing Examination over a three-week period.Journal of dental sciences · 2026Article
- Evaluating the accuracy and patient perception of AI-generated answers on pectus surgery.Journal of cardiothoracic surgery · 2025Article
- A Comparative Analysis of GPT-3.5, GPT-4, GPT-4 Omni, Gemini Advanced, and Gemini 1.5 in Answering Frequently Asked Questions Regarding High Tibial Osteotomy.Orthopaedic journal of sports medicine · 2025Article
- A professional assessment of training plans for muscle hypertrophy and maximal strength developed by generative artificial intelligence.Biology of sport · 2025Article
- Performance of ChatGPT-4, Gemini, and DeepSeek-V3 on answering the multiple choice questions from Taiwan national dental technician licensing examinations and their self-learning abilities over a three-week period.Journal of dental sciences · 2025Article
- What Large Language Models offer about Familial Mediterranean Fever: An Analysis of Quality, Readability, Completeness, and Accuracy.Mediterranean journal of rheumatology · 2025Article
- Exploring Young Adults' Experiences and Beliefs in Asthma Medication Management: Pilot Qualitative Study Comparing Human and Multiple AI Thematic Analysis.JMIR formative research · 2025Article
- Comparison of artificial intelligence systems in answering prosthodontics questions from the dental specialty exam in Turkey.Journal of dental sciences · 2025Article
- Evaluation of the Performance of Large Language Models in the Management of Axial Spondyloarthropathy: Analysis of EULAR 2022 Recommendations.Diagnostics (Basel, Switzerland) · 2025Article
- The Role of Artificial Intelligence Large Language Models in Personalized Rehabilitation Programs for Knee Osteoarthritis: An Observational Study.Journal of medical systems · 2025Observational
- Use of ChatGPT for Urinary Symptom Management Among People With Spinal Cord Injury or Disease: Qualitative Study.JMIR rehabilitation and assistive technologies · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) in healthcare marks a new era of innovation and efficiency, characterized by the emergence of sophisticated language models such as ChatGPT (OpenAI, San Francisco, CA, USA), Gemini Advanced (Google LLC, Mountain View, CA, USA), and Co-pilot (Microsoft Corp, Redmond, WA, USA). This review explores the transformative impact of these AI technologies on various facets of healthcare, from enhancing patient care and treatment protocols to revolutionizing medical research and tackling intricate health science challenges. ChatGPT, with its advanced natural language processing capabilities, leads the way in providing personalized mental health support and improving chronic condition management. Gemini Advanced extends the boundary of AI in healthcare through data analytics, facilitating early disease detection and supporting medical decision-making. Co-pilot, by integrating seamlessly with healthcare systems, optimizes clinical workflows and encourages a culture of innovation among healthcare professionals. Additionally, the review highlights the significant contributions of AI in accelerating medical research, particularly in genomics and drug discovery, thus paving the path for personalized medicine and more effective treatments. The pivotal role of AI in epidemiology, especially in managing infectious diseases such as COVID-19, is also emphasized, demonstrating its value in enhancing public health strategies. However, the integration of AI technologies in healthcare comes with challenges. Concerns about data privacy, security, and the need for comprehensive cybersecurity measures are discussed, along with the importance of regulatory compliance and transparent consent management to uphold ethical standards and patient autonomy. The review points out the necessity for seamless integration, interoperability, and the maintenance of AI systems' reliability and accuracy to fully leverage AI's potential in advancing healthcare.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.