Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic review
IntroductionConsidering the extensive development of artificial intelligence (AI) facilities, like Generative Pre-Trained Transformer (ChatGPT) 4.o and ChatGPT Scholar, we explored their abilities to conduct a systematic literature review. Using as a specific domain, an attempt to frame/methodize cl...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1565275/full |
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| author | Aurelian Anghelescu Aurelian Anghelescu Constantin Munteanu Constantin Munteanu Aura Spinu Vlad Ciobanu Cristina Popescu Ioana Elena Cioca Ioana Andone Simona-Isabelle Stoica Simona-Isabelle Stoica Mihaela Mandu Ana Rebedea Sebastian Giuvara Alin-Daniel Malaelea Andreea-Iulia Vladulescu-Trandafir Maria-Veronica Morcov Maria-Veronica Morcov Gelu Onose |
| author_facet | Aurelian Anghelescu Aurelian Anghelescu Constantin Munteanu Constantin Munteanu Aura Spinu Vlad Ciobanu Cristina Popescu Ioana Elena Cioca Ioana Andone Simona-Isabelle Stoica Simona-Isabelle Stoica Mihaela Mandu Ana Rebedea Sebastian Giuvara Alin-Daniel Malaelea Andreea-Iulia Vladulescu-Trandafir Maria-Veronica Morcov Maria-Veronica Morcov Gelu Onose |
| author_sort | Aurelian Anghelescu |
| collection | DOAJ |
| description | IntroductionConsidering the extensive development of artificial intelligence (AI) facilities, like Generative Pre-Trained Transformer (ChatGPT) 4.o and ChatGPT Scholar, we explored their abilities to conduct a systematic literature review. Using as a specific domain, an attempt to frame/methodize clinical assessment instruments used to evaluate neuro-functional deficits in Parkinson’s disease (PD) – including framed through the ICF(-DH) paradigm – for the above-mentioned comparison between human intelligence (HI) and AI, this paper is as well, a follow-up regarding the most actual subject matter of the AI’s capabilities evolution in this respect. As well-known clinical-/paraclinical-/functional evaluations, using assessment quantitative (as much as possible) instruments, are basic endeavors for rehabilitation, as they enable setting of appropriate and realistic therapeutic-rehabilitative specific goals.MethodsWithin the actual work, we have first achieved a narrative synthesis of the main molecular mechanisms involved in PD pathophysiology, underpinning its clinical appearance and evolution. To fundament our knowledge on an up-to-date information regarding the clinical-functional evaluation tools practiced in PD, we systematically reviewed the literature in this domain, published in the last 6 years, through a PRISMA type method for filtering/selecting the related bibliographic resources. The same keywords combinations/syntaxes have been used contextually, also to dialogize with ChatGPT4.o and ChatGPT.ResultsScholar Applying PRISMA type methodology (HI achieved), we have selected, matching the filtering criteria, 24 articles. Interrogating the two AI above-mentioned models, we obtained quite difficult to be availed/useful – comparative to our HI obtained – outcomes. Thus, when interrogating ChatGPT4.o, ChatGPT Scholar repeatedly, they provided - partially diverse - inappropriate related answers, including ones pending on the interrogator’s IP, although they claimed to have this capacity.DiscussionWe consider, regarding their capabilities to achieve systematic literature reviews, that neither ChatGPT 4.o nor ChatGPT Scholar still cannot succeed this (yet, they keep improving lately). Additionally, we have consistently extended, including within a narrative related literature review, our ‘dialogue” with these two AI facilities regarding their availability to enhance the related evaluation instruments accuracy on neurofunctional assessments within biomarker-based frameworks. So, our research aimed basically to emphasize the main topical data regarding these two important paradigms of knowledge (based on HI and on AI) acquirements – considering the impetuous development of the latter – and thus, possibly to contribute inclusively at improving the actual performances to achieve Systematic Literature Reviews through the PRISMA type method – for the moment still better served by HI. |
| format | Article |
| id | doaj-art-d7c8ee268a2946ad9a8fddc8d5eab08f |
| institution | Kabale University |
| issn | 2296-858X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj-art-d7c8ee268a2946ad9a8fddc8d5eab08f2025-08-20T03:28:34ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-06-011210.3389/fmed.2025.15652751565275Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic reviewAurelian Anghelescu0Aurelian Anghelescu1Constantin Munteanu2Constantin Munteanu3Aura Spinu4Vlad Ciobanu5Cristina Popescu6Ioana Elena Cioca7Ioana Andone8Simona-Isabelle Stoica9Simona-Isabelle Stoica10Mihaela Mandu11Ana Rebedea12Sebastian Giuvara13Alin-Daniel Malaelea14Andreea-Iulia Vladulescu-Trandafir15Maria-Veronica Morcov16Maria-Veronica Morcov17Gelu Onose18Department of Specific Discipline, Faculty of Midwifery and Nursing, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaTeaching Emergency Hospital “Bagdasar-Arseni”, Bucharest, RomaniaTeaching Emergency Hospital “Bagdasar-Arseni”, Bucharest, RomaniaDepartment of Biomedical Sciences, Faculty of Medical Bioengineering, University of Medicine and Pharmacy “Grigore T. Popa”, Iaşi, RomaniaDepartment of Clinical Education, Physical and Rehabilitation Medicine, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaDepartment of Computer Science, Politehnica University of Bucharest, Bucharest, RomaniaDepartment of Clinical Education, Physical and Rehabilitation Medicine, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaDepartment of Basic Medical Sciences, Faculty of Midwifery and Nursing, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaDepartment of Clinical Education, Physical and Rehabilitation Medicine, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaDepartment of Specific Discipline, Faculty of Midwifery and Nursing, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaTeaching Emergency Hospital “Bagdasar-Arseni”, Bucharest, RomaniaDepartment of Clinical Education, Physical and Rehabilitation Medicine, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaTeaching Emergency Hospital “Bagdasar-Arseni”, Bucharest, RomaniaTeaching Emergency Hospital “Bagdasar-Arseni”, Bucharest, RomaniaTeaching Emergency Hospital “Bagdasar-Arseni”, Bucharest, RomaniaDepartment of Clinical Education, Physical and Rehabilitation Medicine, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaDepartment of Basic Medical Sciences, Faculty of Midwifery and Nursing, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaNational Teaching Centre for Neuro-psycho-motor Rehabilitation in Children “Dr. N. Robanescu”, Bucharest, RomaniaDepartment of Clinical Education, Physical and Rehabilitation Medicine, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Bucharest, RomaniaIntroductionConsidering the extensive development of artificial intelligence (AI) facilities, like Generative Pre-Trained Transformer (ChatGPT) 4.o and ChatGPT Scholar, we explored their abilities to conduct a systematic literature review. Using as a specific domain, an attempt to frame/methodize clinical assessment instruments used to evaluate neuro-functional deficits in Parkinson’s disease (PD) – including framed through the ICF(-DH) paradigm – for the above-mentioned comparison between human intelligence (HI) and AI, this paper is as well, a follow-up regarding the most actual subject matter of the AI’s capabilities evolution in this respect. As well-known clinical-/paraclinical-/functional evaluations, using assessment quantitative (as much as possible) instruments, are basic endeavors for rehabilitation, as they enable setting of appropriate and realistic therapeutic-rehabilitative specific goals.MethodsWithin the actual work, we have first achieved a narrative synthesis of the main molecular mechanisms involved in PD pathophysiology, underpinning its clinical appearance and evolution. To fundament our knowledge on an up-to-date information regarding the clinical-functional evaluation tools practiced in PD, we systematically reviewed the literature in this domain, published in the last 6 years, through a PRISMA type method for filtering/selecting the related bibliographic resources. The same keywords combinations/syntaxes have been used contextually, also to dialogize with ChatGPT4.o and ChatGPT.ResultsScholar Applying PRISMA type methodology (HI achieved), we have selected, matching the filtering criteria, 24 articles. Interrogating the two AI above-mentioned models, we obtained quite difficult to be availed/useful – comparative to our HI obtained – outcomes. Thus, when interrogating ChatGPT4.o, ChatGPT Scholar repeatedly, they provided - partially diverse - inappropriate related answers, including ones pending on the interrogator’s IP, although they claimed to have this capacity.DiscussionWe consider, regarding their capabilities to achieve systematic literature reviews, that neither ChatGPT 4.o nor ChatGPT Scholar still cannot succeed this (yet, they keep improving lately). Additionally, we have consistently extended, including within a narrative related literature review, our ‘dialogue” with these two AI facilities regarding their availability to enhance the related evaluation instruments accuracy on neurofunctional assessments within biomarker-based frameworks. So, our research aimed basically to emphasize the main topical data regarding these two important paradigms of knowledge (based on HI and on AI) acquirements – considering the impetuous development of the latter – and thus, possibly to contribute inclusively at improving the actual performances to achieve Systematic Literature Reviews through the PRISMA type method – for the moment still better served by HI.https://www.frontiersin.org/articles/10.3389/fmed.2025.1565275/fullParkinson’s diseasehuman intelligenceartificial intelligenceassessment instrumentsICF framingChatGPT4.o |
| spellingShingle | Aurelian Anghelescu Aurelian Anghelescu Constantin Munteanu Constantin Munteanu Aura Spinu Vlad Ciobanu Cristina Popescu Ioana Elena Cioca Ioana Andone Simona-Isabelle Stoica Simona-Isabelle Stoica Mihaela Mandu Ana Rebedea Sebastian Giuvara Alin-Daniel Malaelea Andreea-Iulia Vladulescu-Trandafir Maria-Veronica Morcov Maria-Veronica Morcov Gelu Onose Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic review Frontiers in Medicine Parkinson’s disease human intelligence artificial intelligence assessment instruments ICF framing ChatGPT4.o |
| title | Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic review |
| title_full | Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic review |
| title_fullStr | Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic review |
| title_full_unstemmed | Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic review |
| title_short | Standardized clinical assessments and advanced AI-driven instruments used to evaluate neurofunctional deficits, including within biomarker based framework, in Parkinson’s disease - human intelligence made vs. AI models - systematic review |
| title_sort | standardized clinical assessments and advanced ai driven instruments used to evaluate neurofunctional deficits including within biomarker based framework in parkinson s disease human intelligence made vs ai models systematic review |
| topic | Parkinson’s disease human intelligence artificial intelligence assessment instruments ICF framing ChatGPT4.o |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1565275/full |
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