THE LANGUAGE MODELS IN HEALTHCARE AND THE ROLE OF CHATGPT: COMMENTS

ABSTRACT The introduction of chatbots has been one of the most intriguing advances in artificial intelligence. There are numerous potential uses for artificial intelligence in clinical research. However, there are also some issues that require attention. Everyone agrees that AI requires a more stable foundation and that a cutting-edge approach is necessary for AI to operate effectively.


A QUEDA DA PRESSÃO DESVASCULARIZAÇÃO ESOFAGOGÁSTRICA E ESPLENECTOMIA INFLUENCIA A VARIAÇÃO DO VARIZES E AS TAXAS DE RESSANGRAMENTO NA ESQUISTOSSOMOSE NO SEGUIMENTO EM LONGO PRAZO?
Does the drop in portal pressure after esophagogastric devascularization and splenectomy variation of variceal calibers and the rebleeding rates in schistosomiasis in late follow-up?
Walter de Biase SILVA-NETO 1 , Claudemiro QUIRESE 1 , Eduardo Guimarães Horneaux de MOURA 2 , Fabricio Ferreira COELHO 3 , Paulo HERMAN 3 ABSTRACT -Background: The treatment of choice for patients with schistosomiasis with previous episode of varices is bleeding esophagogastric devascularization and splenectomy (EGDS) in association with postoperative endoscopic therapy.However, studies have shown varices recurrence especially after long-term follow-up.Aim: To assess the impact on behavior of esophageal varices and bleeding recurrence after post-operative endoscopic treatment of patients submitted to EGDS.Methods: Thirty-six patients submitted to EGDS portal pressure drop, more or less than compared with the behavior of esophageal and the rate of bleeding recurrence.Results late post-operative varices caliber when compared the pre-operative data was observed despite an increase in diameter during follow-up that was controlled by endoscopic therapy.Conclusion variceal calibers when comparing pre-operative and early or late post-operative diameters.The comparison between the portal pressure drop and the rebleeding rates was also not HEADINGS: Schistosomiasis mansoni.Portal hypertension.Surgery.Portal pressure.
Esophageal and gastric varices.

Mensagem central
A desconexão ázigo-portal e esplenectomia apresenta importante impacto na diminuição precoce do calibre das varizes esofágicas na esquistossomose; entretanto, parece que a associação com a terapia endoscópica é a maior responsável pelo controle da recidiva hemorrágica.The introduction of chatbots has been one of the most intriguing advances in artificial intelligence (AI), according to Tustumi et al. 2 .While there is no doubt that ChatGPT has the potential to transform the way healthcare is delivered, the authors came to the following conclusion: it is important to emphazise that it should not be utilized as a replacement for real healthcare experts 2 .Instead, they suggested that ChatGPT be viewed as a tool that may be employed to supplement and complement the work of these professionals, enabling them to give their patients a better treatment 2 .
There are numerous potential uses for AI in clinical research.On the other hand, there are some issues that require attention.The importance of accuracy and dependability has already been addressed.AI's potential to forecast the outcomes of clinical issues is the subject of research.It ought to be clear that using AI has some drawbacks.It should not create, analyze, or approve vital information without human review 1 .Besides, abuse may result from poor usage management strategies; for example, it might be used to automatically detect plagiarism and ghostwriting.
Undoubtedly, we all agree that AI requires a more stable foundation and that a cutting-edge approach is necessary for AI to operate effectively.

A QUEDA DA PRESSÃO PORTAL APÓS DESVASCULARIZAÇÃO ESOFAGOGÁSTRICA E ESPLENECTOMIA INFLUENCIA A VARIAÇÃO DO CALIBRE DAS VARIZES E AS TAXAS DE RESSANGRAMENTO NA ESQUISTOSSOMOSE NO SEGUIMENTO EM LONGO PRAZO?
Does the drop in portal pressure after esophagogastric devascularization and splenectomy variation of variceal calibers and the rebleeding rates in schistosomiasis in late follow-up?
Walter de Biase SILVA-NETO 1 , Claudemiro QUIRESE 1 , Eduardo Guimarães Horneaux de MOURA 2 , Fabricio Ferreira COELHO 3 , Paulo HERMAN 3 ABSTRACT Background: The treatment of choice for patients with schistosomiasis episode of varices is bleeding esophagogastric devascularization and splenectomy (EGDS) in association with postoperative endoscopic therapy.However, studies have shown varices recurrence especially after long-term follow-up.Aim: To assess the impact on behavior of esophageal varices and bleeding recurrence after post-operative endoscopic treatment of patients submitted to EGDS.Methods: Thirty-six patients submitted to EGDS portal pressure drop, more or less than 30%, and compared with the behavior of esophageal varices and the rate of bleeding recurrence.Results late post-operative varices caliber when compared the pre-operative data was observed despite an increase in diameter during follow-up that was controlled by endoscopic therapy.Evolução do calibre das varizes no período pré e pósoperatório precoce e tardio

Mensagem central
A desconexão ázigo-portal e esplenectomia apresenta importante impacto na diminuição precoce do calibre das varizes esofágicas na esquistossomose; entretanto, parece que a associação com a terapia endoscópica é a maior responsável pelo controle da recidiva hemorrágica.Generally speaking, AI strategies provide physicians with feedback to help diagnose and treat patients.Kleebayoon and Wiwanitkit, in a letter to our previously published manuscript 3 , outlined that AI should not make vital decisions without human review.We are glad about their interest in our manuscript and completely agree with them.AI should be used as a tool for healthcare providers, not as a substitute for them.
In reality, none of the companies that announce AIbased programs claim them to be a human substitute.Human participation is indispensable in AI-generated data (Figure 1).As in any conversation, the natural (or human-like) conversation programs demand a dual interaction.In the case of chatbots, humans need to interact with the machine to create a conversation that might fulfill human interests.Specifically in the medical field, the healthcare provider needs to direct the machine-human chat for the benefit of the patient.Consequently, there is no doubt that the healthcare provider needs a great deal of knowledge to build a relevant clinical issue.Besides, healthcare providers must have a critical assessment capability to identify chatbot misinformation and judge if the information applies to their patients.
Numerous studies proposed using AI in computer vision to interpret images, including the use of automation in the assessment of surgical skill with machine learning algorithms 1,2 .Naturally, surgeons with no capability of interpreting AI feedback or with a deficit in surgical skills are null, even supported by these AI programs.The surgeons and all healthcare providers should recognize that they are ultimately responsible for clinical decisions and patient outcomes.The AI is only a tool.
Lastly, AI is created based on a solid amount of information.Humans are responsible for creating new data, new research manuscripts, new methods, and so on, which are the base for any AI functioning.Humans are responsible for the development and improvement of AI, making it an increasingly more valuable tool for clinical practice.
instagram.com/revistaabcd/twitter.com/revista_abcdfacebook.com/Revista-ABCD-109005301640367linkedin.com/company/revista-abcdEditorial Support: National Council for Scientific and Technological Development (CNPq).we found that the article on "FUTURE OF THE LANGUAGE MODELS IN HEALTHCARE: THE ROLE OF CHATGPT", by Tustumi et al., assembles the greatest medical knowledge to develop an orientation for practice 2 .
instagram.com/revistaabcd/twitter.com/revista_abcdfacebook.com/Revista-ABCD-109005301640367linkedin.com/company/revista-abcdEditorial Support: National Council for Scientific and Technological Development (CNPq).D ear colleagues, Thanks for thFe Letter to the Editor: The recent announcements of artificial intelligence (AI)-based programs, including ChatGPT (OpenAi), Bard (Google), and Co-Pilot (Microsoft), raised interest in their potential impact on medical assistance and patient care.Indeed, deep learning and other AI modalities have been proposed in several fields of medicine.

Figure 1 -
Figure 1 -The indispensable human participation in artificial intelligence generated data.