Exploring the Potential of Chat GPT in Personalized Obesity Treatment

Arslan, Sedat

doi:10.1007/s10439-023-03227-9

Cited by 51 publications

(24 citation statements)

References 2 publications

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“…As their capabilities are inherently shaped by the corpus they were trained on, their efficacy across different medical domains may vary based on the representation of those domains in the original dataset. Therefore, while we may anticipate a degree of adaptability, evaluating their performance individually within each target sub-domain is advisable to ensure precision and validity (32)(33)(34)(35).…”

Section: Speed and Efficiencymentioning

confidence: 99%

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The Pulse of Artificial Intelligence in Cardiology: A Comprehensive Evaluation of State-of-the-Art Large Language Models for Potential Use in Clinical Cardiology

Novak,

Zeljković,

Rode

et al. 2023

Preprint

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Introduction: During the last few years, we have witnessed a surge in the utilization of Large Language Models (LLMs) for diverse applications in clinical medicine. Their utility extends to enhancing ECG interpretation, data analysis, and risk prediction in cardiology. This study aims to evaluate the accuracy of LLMs in answering cardiology-specific questions of various difficulty levels. Methods: This study undertakes a comparative analysis of three state of the art LLMs: Google Bard, GPT-3.5 Turbo, and GPT-4.0, against four distinct sets of clinical scenarios of increasing complexity. The clinical scenarios encompass a range of cardiovascular topics, from prevention to acute illness management and complex pathologies. The responses generated by the LLMs were evaluated for their clinical relevance and appropriateness, considering variations in patient demographics. The evaluations were conducted by an experienced panel of cardiologists. Results: All models showed an understanding of medical terminology, but the application of this knowledge varied. GPT-4.0 outperforms Google Bard and GPT-3.5 Turbo across a spectrum of cardiology-related clinical scenarios, demonstrating a strong understanding of medical terminology, contextual understanding and most proficiently aligning its responses with current guidelines. Limitations were seen in the models' abilities to reference ongoing clinical trials, demonstrating a need for real-time clinical data integration. Conclusion: LLMs showed promising results in ability to interpret and apply complex clinical guidelines, with a potential for enhancing patient outcomes through personalized advice. However, they do not supersede human expertise and should be utilized with a grain of salt, as supplementary tools in clinical medicine.

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Section: Speed and Efficiencymentioning

confidence: 99%

“…Potential for Personalization. Personalization is a crucial attribute for LLMs, focusing on integrating and interpreting user-specific information into their responses (34,35). In this study, we provide 'Dubravka', a custom-made mobile application, that interfaces with the GPT-3.5 Turbo API (Application Programming Interface).…”

Section: Here Figurementioning

confidence: 99%

The Pulse of Artificial Intelligence in Cardiology: A Comprehensive Evaluation of State-of-the-Art Large Language Models for Potential Use in Clinical Cardiology

Novak,

Zeljković,

Rode

et al. 2023

Preprint

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“…23 Because GPT models rely on pattern recognition and statistical associations to generate responses, they do not really understand the context of a patient's unique situation. 24 In some cases, the program will generate scientifically plausible responses, which, in fact, are totally false, that is, "hallucination." 2 This false information can be misleading, also causing delayed or incorrect treatment.…”

Section: Scientific Researchmentioning

confidence: 99%

“…Likewise, ChatGPT should also be used with caution because of possible “major errors and biases.” It also has a “misinformation problem,” that is, it does not always give accurate information; thus, it could be “weaponized to spread disinformation” and create deep fakes 23 . Because GPT models rely on pattern recognition and statistical associations to generate responses, they do not really understand the context of a patient’s unique situation 24 . In some cases, the program will generate scientifically plausible responses, which, in fact, are totally false, that is, “hallucination.” 2 This false information can be misleading, also causing delayed or incorrect treatment.…”

Section: Scientific Researchmentioning

confidence: 99%

(How) ChatGPT - Artificial Intelligence Thinks It Can Help/Harm Physiatry

Jačisko,

Veselý,

Chang

et al. 2023

Am J Phys Med Rehabil

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ChatGPT is a chatbot that is based on the generative pre-trained transformer (GPT) architecture as an artificial inteligence based large language model. Its widespread use in health care practice, research and education seems to be (increasingly) inevitable. Also considering the relevant limitations regarding privacy, ethics, bias, legal and validity, in this article, its use as a supplement (for sure not as a substitute for physicians) is discussed in light of the recent literature. Particularly, the “opinion“ of ChatGPT about how it can help/harm physiatry is exemplified.

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“…analyzing patient data to understanding complex medical literature, offering health information, and improving text writing, indicating the promising potential of future GPT versions. [7][8][9][10][11][12][13][14] Furthermore, ChatGPT can improve health service accessibility and quality, particularly for patients in remote areas, by providing medical information and aiding in the comprehension of complex medical data, thus facilitating informed decisions. [4,13,15] Thus, investigating ChatGPT̓s capacity to offer medical consultation represents a significant stride in potentially elevating public health̓s overall quality and accessibility.…”

mentioning

confidence: 99%

ChatGPT’s potential to support home care for patients in the early period after orthopedic interventions and enhance public health

Yapar,

Demir Avcı,

Tokur Sonuvar

et al. 2023

Jt Dis Relat Surg

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Artificial intelligence (AI), with its diverse applications across sectors, including healthcare, education, and finance, has brought groundbreaking changes to numerous fields. [1,2] A notable offshoot, natural language processing, empowers computers to understand and produce human language. Among natural language processing tools, large language models stand out. These models, particularly OpenAI̓s (OpenAI, Inc., San Francisco, CA, USA) GPT (Generative Pre-Trained Transformer) series, culminating in GPT-4 in 2023, utilize deep learning to generate human-like text, revolutionizing interfaces such as chatbots. [3][4][5][6] Its capabilities span from Objectives: This study presents the first investigation into the potential of ChatGPT to provide medical consultation for patients undergoing orthopedic interventions, with the primary objective of evaluating ChatGPT's effectiveness in supporting patient self-management during the essential early recovery phase at home. Materials and methods: Seven scenarios, representative of common situations in orthopedics and traumatology, were presented to ChatGPT version 4.0 to obtain advice. These scenarios and ChatGPT̓s responses were then evaluated by 68 expert orthopedists (67 males, 1 female; mean age: 37.9±5.9 years; range, 30 to 59 years), 40 of whom had at least four years of orthopedic experience, while 28 were associate or full professors. Expert orthopedists used a rubric on a scale of 1 to 5 to evaluate ChatGPTʼs advice based on accuracy, applicability, comprehensiveness, and clarity. Those who gave ChatGPT a score of 4 or higher considered its performance as above average or excellent. Results: In all scenarios, the median evaluation scores were at least 4 across accuracy, applicability, comprehensiveness, and communication. As for mean scores, accuracy was the highest-rated dimension at 4.2±0.8, while mean comprehensiveness was slightly lower at 3.9±0.8. Orthopedist characteristics, such as academic title and prior use of ChatGPT, did not influence their evaluation (all p>0.05). Across all scenarios, ChatGPT demonstrated an accuracy of 79.8%, with applicability at 75.2%, comprehensiveness at 70.6%, and a 75.6% rating for communication clarity. Conclusion:This study emphasizes ChatGPT̓s strengths in accuracy and applicability for home care after orthopedic intervention but underscores a need for improved comprehensiveness. This focused evaluation not only sheds light on ChatGPT̓s potential in specialized medical advice but also suggests its potential to play a broader role in the advancement of public health.

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Exploring the Potential of Chat GPT in Personalized Obesity Treatment

Cited by 51 publications

References 2 publications

The Pulse of Artificial Intelligence in Cardiology: A Comprehensive Evaluation of State-of-the-Art Large Language Models for Potential Use in Clinical Cardiology

The Pulse of Artificial Intelligence in Cardiology: A Comprehensive Evaluation of State-of-the-Art Large Language Models for Potential Use in Clinical Cardiology

(How) ChatGPT - Artificial Intelligence Thinks It Can Help/Harm Physiatry

ChatGPT’s potential to support home care for patients in the early period after orthopedic interventions and enhance public health

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