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Bektaş M, Pereira JK, Daams F, van der Peet DL. ChatGPT in surgery: a revolutionary innovation? Surg Today 2024:10.1007/s00595-024-02800-6. [PMID: 38421439 DOI: 10.1007/s00595-024-02800-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 12/13/2023] [Indexed: 03/02/2024]
Abstract
ChatGPT has brought about a new era of digital health, as this model has become prominent and been rapidly developing since its release. ChatGPT may be able to facilitate improvements in surgery as well; however, the influence of ChatGPT on surgery is largely unknown at present. Therefore, the present study reports on the current applications of ChatGPT in the field of surgery, evaluating its workflow, practical implementations, limitations, and future perspectives. A literature search was performed using the PubMed and Embase databases. The initial search was performed from its inception until July 2023. This study revealed that ChatGPT has promising capabilities in areas of surgical research, education, training, and practice. In daily practice, surgeons and surgical residents can be aided in performing logistics and administrative tasks, and patients can be more efficiently informed about the details of their condition. However, priority should be given to establishing proper policies and protocols to ensure the safe and reliable use of this model.
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Affiliation(s)
- Mustafa Bektaş
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Jaime Ken Pereira
- Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 1105, Amsterdam, The Netherlands
| | - Freek Daams
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Donald L van der Peet
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Surgery, De Boelelaan 1117, Amsterdam, The Netherlands
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Katsumata R, Hosokawa T, Kamada T. Artificial Intelligence-Based Diagnostic Support System for Functional Dyspepsia Based on Brain Activity and Food Preference. Cureus 2023; 15:e49877. [PMID: 38170031 PMCID: PMC10761299 DOI: 10.7759/cureus.49877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/02/2023] [Indexed: 01/05/2024] Open
Abstract
Background and aim Disorders of gut-brain interaction (DGBI) are disorders where no organic clinical abnormalities are detected such as functional dyspepsia (FD) and irritable bowel syndrome (IBS). The brain activity of individuals with FD and IBS differs from that of healthy controls. Artificial intelligence can distinguish healthy controls from individuals with DGBI using several biomarkers. This study aimed to establish an artificial intelligence-based diagnostic support system using food preferences and brain activity in patients with DGBI. Methods ROME IV criteria were used to diagnose patients with FD and IBS. Their food preference was scored using a visual analog scale, and brain activity in the prefrontal cortex was investigated using functional near-infrared spectroscopy (fNIRS). The diagnostic model was developed based on the brain activity and visual analog scale scores for food using an artificial neural network model. Results Forty-one participants, including 25 patients with DGBI were enrolled in the study. The accuracy of the artificial intelligence-based diagnostic model using an artificial neural network in differentiating between healthy controls and patients with DGBI and between healthy controls and those with FD were 72.3% and 77.1%, respectively. Conclusions The artificial intelligence-based diagnostic model using brain activity and preference to food images showed sufficiently high accuracy in distinguishing patients with DGBI from healthy controls, and those with FD from healthy controls. Therefore, the fNIRS system provides objective evidence for diagnosing DGBI.
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Affiliation(s)
- Ryo Katsumata
- Department of Health Care Medicine, Kawasaki Medical School General Medical Center, Okayama, JPN
| | - Takayuki Hosokawa
- Department of Orthoptics, Faculty of Rehabilitation, Kawasaki University of Medical Welfare, Kurashiki, JPN
| | - Tomoari Kamada
- Department of Health Care Medicine, Kawasaki Medical School General Medical Center, Okayama, JPN
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Vulpoi RA, Luca M, Ciobanu A, Olteanu A, Bărboi O, Iov DE, Nichita L, Ciortescu I, Cijevschi Prelipcean C, Ștefănescu G, Mihai C, Drug VL. The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management. Diagnostics (Basel) 2023; 13:3336. [PMID: 37958232 PMCID: PMC10648815 DOI: 10.3390/diagnostics13213336] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/24/2023] [Accepted: 10/28/2023] [Indexed: 11/15/2023] Open
Abstract
Irritable bowel syndrome (IBS) has a global prevalence of around 4.1% and is associated with a low quality of life and increased healthcare costs. Current guidelines recommend that IBS is diagnosed using the symptom-based Rome IV criteria. Despite this, when patients seek medical attention, they are usually over-investigated. This issue might be resolved by novel technologies in medicine, such as the use of Artificial Intelligence (AI). In this context, this paper aims to review AI applications in IBS. AI in colonoscopy proved to be useful in organic lesion detection and diagnosis and in objectively assessing the quality of the procedure. Only a recently published study talked about the potential of AI-colonoscopy in IBS. AI was also used to study biofilm characteristics in the large bowel and establish a potential relationship with IBS. Moreover, an AI algorithm was developed in order to correlate specific bowel sounds with IBS. In addition to that, AI-based smartphone applications have been developed to facilitate the monitoring of IBS symptoms. From a therapeutic standpoint, an AI system was created to recommend specific diets based on an individual's microbiota. In conclusion, future IBS diagnosis and treatment may benefit from AI.
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Affiliation(s)
- Radu Alexandru Vulpoi
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Mihaela Luca
- Institute of Computer Science, Romanian Academy-Iasi Branch, 700481 Iasi, Romania; (M.L.); (A.C.)
| | - Adrian Ciobanu
- Institute of Computer Science, Romanian Academy-Iasi Branch, 700481 Iasi, Romania; (M.L.); (A.C.)
| | - Andrei Olteanu
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Oana Bărboi
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Diana-Elena Iov
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Loredana Nichita
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Irina Ciortescu
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Cristina Cijevschi Prelipcean
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Gabriela Ștefănescu
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Cătălina Mihai
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
| | - Vasile Liviu Drug
- Faculty of Medicine, Department of Internal Medicine, University of Medicine and Pharmacy “Grigore T. Popa”, 700111 Iasi, Romania; (R.A.V.); (A.O.); (D.-E.I.); (L.N.); (I.C.); (C.C.P.); (G.Ș.); (C.M.); (V.L.D.)
- Emergency Clinical Hospital “Saint Spiridon”, Institute of Gastroenterology and Hepatology, 700111 Iasi, Romania
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