Artificial Intelligence and Advanced Melanoma: Treatment Management Implications
Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplifying functions and activities that would be more co...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Cells |
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| Online Access: | https://www.mdpi.com/2073-4409/11/24/3965 |
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| author | Antonino Guerrisi Italia Falcone Fabio Valenti Marco Rao Enzo Gallo Sara Ungania Maria Teresa Maccallini Maurizio Fanciulli Pasquale Frascione Aldo Morrone Mauro Caterino |
| author_facet | Antonino Guerrisi Italia Falcone Fabio Valenti Marco Rao Enzo Gallo Sara Ungania Maria Teresa Maccallini Maurizio Fanciulli Pasquale Frascione Aldo Morrone Mauro Caterino |
| author_sort | Antonino Guerrisi |
| collection | DOAJ |
| description | Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplifying functions and activities that would be more complex otherwise. Even in the medical field, and specifically in oncology, many studies in recent years have highlighted the possible helping role that AI could play in clinical and therapeutic patient management. In specific contexts, clinical decisions are supported by “intelligent” machines and the development of specific softwares that assist the specialist in the management of the oncology patient. Melanoma, a highly heterogeneous disease influenced by several genetic and environmental factors, to date is still difficult to manage clinically in its advanced stages. Therapies often fail, due to the establishment of intrinsic or secondary resistance, making clinical decisions complex. In this sense, although much work still needs to be conducted, numerous evidence shows that AI (through the processing of large available data) could positively influence the management of the patient with advanced melanoma, helping the clinician in the most favorable therapeutic choice and avoiding unnecessary treatments that are sure to fail. In this review, the most recent applications of AI in melanoma will be described, focusing especially on the possible finding of this field in the management of drug treatments. |
| first_indexed | 2024-03-09T17:13:47Z |
| format | Article |
| id | doaj.art-de7f53d2f3e743d68e408550bb16a179 |
| institution | Directory Open Access Journal |
| issn | 2073-4409 |
| language | English |
| last_indexed | 2024-03-09T17:13:47Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cells |
| spelling | doaj.art-de7f53d2f3e743d68e408550bb16a1792023-11-24T13:53:31ZengMDPI AGCells2073-44092022-12-011124396510.3390/cells11243965Artificial Intelligence and Advanced Melanoma: Treatment Management ImplicationsAntonino Guerrisi0Italia Falcone1Fabio Valenti2Marco Rao3Enzo Gallo4Sara Ungania5Maria Teresa Maccallini6Maurizio Fanciulli7Pasquale Frascione8Aldo Morrone9Mauro Caterino10Radiology and Diagnostic Imaging Unit, Department of Clinical and Dermatological Research, San Gallicano Dermatological Institute IRCCS, 00144 Rome, ItalySAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, ItalyUOC Oncological Translational Research, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, ItalyEnea-FSN-TECFIS-APAM, C.R. Frascati, via Enrico Fermi, 45, 00146 Rome, ItalyPathology Unit, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, ItalyMedical Physics and Expert Systems Laboratory, Department of Research and Advanced Technologies, IRCCS-Regina Elena Institute, 00144 Rome, ItalyDepartement of Clinical and Molecular Medicine, Università La Sapienza di Roma, 00185 Rome, ItalySAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, ItalyOncologic and Preventative Dermatology, IFO-San Gallicano Dermatological Institute-IRCCS, 00144 Rome, ItalyScientific Direction, San Gallicano Dermatological Institute IRCCS, 00144 Rome, ItalyRadiology and Diagnostic Imaging Unit, Department of Clinical and Dermatological Research, San Gallicano Dermatological Institute IRCCS, 00144 Rome, ItalyArtificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplifying functions and activities that would be more complex otherwise. Even in the medical field, and specifically in oncology, many studies in recent years have highlighted the possible helping role that AI could play in clinical and therapeutic patient management. In specific contexts, clinical decisions are supported by “intelligent” machines and the development of specific softwares that assist the specialist in the management of the oncology patient. Melanoma, a highly heterogeneous disease influenced by several genetic and environmental factors, to date is still difficult to manage clinically in its advanced stages. Therapies often fail, due to the establishment of intrinsic or secondary resistance, making clinical decisions complex. In this sense, although much work still needs to be conducted, numerous evidence shows that AI (through the processing of large available data) could positively influence the management of the patient with advanced melanoma, helping the clinician in the most favorable therapeutic choice and avoiding unnecessary treatments that are sure to fail. In this review, the most recent applications of AI in melanoma will be described, focusing especially on the possible finding of this field in the management of drug treatments.https://www.mdpi.com/2073-4409/11/24/3965metastatic melanomatargeted therapyimmunotherapyartificial intelligenceprecision medicine |
| spellingShingle | Antonino Guerrisi Italia Falcone Fabio Valenti Marco Rao Enzo Gallo Sara Ungania Maria Teresa Maccallini Maurizio Fanciulli Pasquale Frascione Aldo Morrone Mauro Caterino Artificial Intelligence and Advanced Melanoma: Treatment Management Implications Cells metastatic melanoma targeted therapy immunotherapy artificial intelligence precision medicine |
| title | Artificial Intelligence and Advanced Melanoma: Treatment Management Implications |
| title_full | Artificial Intelligence and Advanced Melanoma: Treatment Management Implications |
| title_fullStr | Artificial Intelligence and Advanced Melanoma: Treatment Management Implications |
| title_full_unstemmed | Artificial Intelligence and Advanced Melanoma: Treatment Management Implications |
| title_short | Artificial Intelligence and Advanced Melanoma: Treatment Management Implications |
| title_sort | artificial intelligence and advanced melanoma treatment management implications |
| topic | metastatic melanoma targeted therapy immunotherapy artificial intelligence precision medicine |
| url | https://www.mdpi.com/2073-4409/11/24/3965 |
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