Revolutionizing healthcare: the role of artificial intelligence in clinical practice

BMC Medical Education, Год журнала: 2023, Номер 23(1)

Опубликована: Сен. 22, 2023

Abstract Introduction Healthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields, including healthcare, with the potential to improve patient care quality of life. Rapid AI advancements can revolutionize healthcare by integrating it into clinical practice. Reporting AI’s role in practice is crucial successful implementation equipping providers essential knowledge tools. Research Significance This review article provides a comprehensive up-to-date overview current state practice, its applications disease diagnosis, treatment recommendations, engagement. It also discusses associated challenges, covering ethical legal considerations need human expertise. By doing so, enhances understanding significance supports organizations effectively adopting technologies. Materials Methods The investigation analyzed use system relevant indexed literature, such as PubMed/Medline, Scopus, EMBASE, no time constraints limited articles published English. focused question explores impact applying settings outcomes this application. Results Integrating holds excellent improving selection, laboratory testing. tools leverage large datasets identify patterns surpass performance several aspects. offers increased accuracy, reduced costs, savings while minimizing errors. personalized medicine, optimize medication dosages, enhance population health management, establish guidelines, provide virtual assistants, support mental care, education, influence patient-physician trust. Conclusion be used diagnose diseases, develop plans, assist clinicians decision-making. Rather than simply automating tasks, about developing technologies that across settings. However, challenges related data privacy, bias, expertise must addressed responsible effective healthcare.

Язык: Английский

---

Summary of ChatGPT-Related research and perspective towards the future of large language models

Meta-Radiology, Год журнала: 2023, Номер 1(2), С. 100017 - 100017

Опубликована: Авг. 18, 2023

This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, their prospective applications across diverse domains. Indeed, key innovations such as large-scale pre-training that captures knowledge entire world wide web, instruction fine-tuning Reinforcement Learning Human Feedback (RLHF) have played significant roles in enhancing LLMs' adaptability performance. We performed an in-depth analysis 194 relevant papers on arXiv, encompassing trend analysis, word cloud representation, distribution various application The findings reveal increasing interest predominantly centered direct natural processing applications, while also demonstrating considerable potential areas ranging education history to mathematics, medicine, physics. study endeavors furnish insights into ChatGPT's capabilities, implications, ethical concerns, offer direction for future advancements this field.

Язык: Английский

---

ChatGPT: Fundamentals, Applications and Social Impacts

Опубликована: Ноя. 29, 2022

Recent progress in large language models has pushed the boundaries of natural processing, setting new standards for performance. It is remarkable how artificial intelligence can mimic human behavior and writing style such a convincing way. As result, it hard to tell if or machine wrote something. Deep learning processing have recently advanced models. These newer learn from amounts data better capture nuances language, making them more accurate robust than ever before. Additionally, these now be applied tasks as summarizing text, translating between languages, even generating original content. ChatGPT (NLP) model developed 2022 by OpenAI open-ended conversations. based on GPT-3.5, third-generation OpenAI. power conversational AI applications like virtual assistants chatbots. In this paper, we describe current version discuss model's potential possible social impact. Disclaimer: This paper was not written ChatGPT: listed authors.

Язык: Английский

---

Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma

Croatian Medical Journal, Год журнала: 2023, Номер 64(1), С. 1 - 3

Опубликована: Фев. 1, 2023

Язык: Английский

---

Using AI to write scholarly publications

Accountability in Research, Год журнала: 2023, Номер 31(7), С. 715 - 723

Опубликована: Янв. 25, 2023

Язык: Английский

---

Fighting reviewer fatigue or amplifying bias? Considerations and recommendations for use of ChatGPT and other large language models in scholarly peer review

Research Integrity and Peer Review, Год журнала: 2023, Номер 8(1)

Опубликована: Май 17, 2023

The emergence of systems based on large language models (LLMs) such as OpenAI's ChatGPT has created a range discussions in scholarly circles. Since LLMs generate grammatically correct and mostly relevant (yet sometimes outright wrong, irrelevant or biased) outputs response to provided prompts, using them various writing tasks including peer review reports could result improved productivity. Given the significance reviews existing publication landscape, exploring challenges opportunities seems urgent. After generation first with LLMs, we anticipate that too would be generated help these systems. However, there are currently no guidelines how should used tasks.

Язык: Английский

---

Attention is all you need: utilizing attention in AI-enabled drug discovery

Briefings in Bioinformatics, Год журнала: 2023, Номер 25(1)

Опубликована: Ноя. 22, 2023

Abstract Recently, attention mechanism and derived models have gained significant traction in drug development due to their outstanding performance interpretability handling complex data structures. This review offers an in-depth exploration of the principles underlying attention-based advantages discovery. We further elaborate on applications various aspects development, from molecular screening target binding property prediction molecule generation. Finally, we discuss current challenges faced application mechanisms Artificial Intelligence technologies, including quality, model computational resource constraints, along with future directions for research. Given accelerating pace technological advancement, believe that will increasingly prominent role anticipate these usher revolutionary breakthroughs pharmaceutical domain, significantly development.

Язык: Английский

---

Gender bias and stereotypes in Large Language Models

Опубликована: Окт. 13, 2023

Large Language Models (LLMs) have made substantial progress in the past several months, shattering state-of-the-art benchmarks many domains. This paper investigates LLMs' behavior with respect to gender stereotypes, a known issue for prior models. We use simple paradigm test presence of bias, building on but differing from WinoBias, commonly used bias dataset, which is likely be included training data current LLMs. four recently published LLMs and demonstrate that they express biased assumptions about men women's occupations. Our contributions this are as follows: (a) 3-6 times more choose an occupation stereotypically aligns person's gender; (b) these choices align people's perceptions better than ground truth reflected official job statistics; (c) fact amplify beyond what or truth; (d) ignore crucial ambiguities sentence structure 95% time our study items, when explicitly prompted, recognize ambiguity; (e) provide explanations their factually inaccurate obscure true reason behind predictions. That is, rationalizations behavior. highlights key property models: trained imbalanced datasets; such, even recent successes reinforcement learning human feedback, tend reflect those imbalances back at us. As other types societal biases, we suggest must carefully tested ensure treat minoritized individuals communities equitably.

Язык: Английский

---

Using ChatGPT in Medical Research: Current Status and Future Directions

Journal of Multidisciplinary Healthcare, Год журнала: 2023, Номер Volume 16, С. 1513 - 1520

Опубликована: Май 1, 2023

This review aims to evaluate the current evidence on use of Generative Pre-trained Transformer (ChatGPT) in medical research, including but not limited treatment, diagnosis, or medication provision.

Язык: Английский

---

Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery

Life, Год журнала: 2024, Номер 14(2), С. 233 - 233

Опубликована: Фев. 7, 2024

Drug development is expensive, time-consuming, and has a high failure rate. In recent years, artificial intelligence (AI) emerged as transformative tool in drug discovery, offering innovative solutions to complex challenges the pharmaceutical industry. This manuscript covers multifaceted role of AI encompassing AI-assisted delivery design, discovery new drugs, novel techniques. We explore various methodologies, including machine learning deep learning, their applications target identification, virtual screening, design. paper also discusses historical medicine, emphasizing its profound impact on healthcare. Furthermore, it addresses AI’s repositioning existing drugs identification combinations, underscoring potential revolutionizing systems. The provides comprehensive overview programs platforms currently used illustrating technological advancements future directions this field. study not only presents current state but anticipates trajectory, highlighting opportunities that lie ahead.

Язык: Английский

---