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PubMed Publications| Keyword search (4,163 papers available) |  |
"artificial intelligence" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Editorial: Data-driven vaccine design for microbial-associated diseases | Selvaraj G; Kaliamurthi S; Wei D; | 41624882 CHEMBIOCHEM |
| 2 | Divergent creativity in humans and large language models | Bellemare-Pepin A; Lespinasse F; Thölke P; Harel Y; Mathewson K; Olson JA; Bengio Y; Jerbi K; | 41565675 PSYCHOLOGY |
| 3 | Towards smart PFAS management: Integrating artificial intelligence in water and wastewater systems | Yaghoobian S; An J; Jeong DW; Hwang JH; | 41483514 ENCS |
| 4 | Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening | Gebre AK; Sim M; Gilani SZ; Saleem A; Smith C; Hans D; Reid S; Monchka BA; Kimelman D; Jozani MJ; Schousboe JT; Lewis JR; Leslie WD; | 41071096 ENCS |
| 5 | Deep learning-based feature discovery for decoding phenotypic plasticity in pediatric high-grade gliomas single-cell transcriptomics | Abicumaran Uthamacumaran | 40848317 PSYCHOLOGY |
| 6 | Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review | Md Shike Bin Mazid Anik | 40692624 ENCS |
| 7 | Comprehensive review of reinforcement learning for medical ultrasound imaging | Elmekki H; Islam S; Alagha A; Sami H; Spilkin A; Zakeri E; Zanuttini AM; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A; | 40567264 ENCS |
| 8 | Emerging Image-Guided Navigation Techniques for Cardiovascular Interventions: A Scoping Review | Roshanfar M; Salimi M; Jang SJ; Sinusas AJ; Kim J; Mosadegh B; | 40428106 ENCS |
| 9 | Machine learning innovations in CPR: a comprehensive survey on enhanced resuscitation techniques | Islam S; Rjoub G; Elmekki H; Bentahar J; Pedrycz W; Cohen R; | 40336660 ENCS |
| 10 | Advanced Robotics for the Next-Generation of Cardiac Interventions | Roshanfar M; Salimi M; Kaboodrangi AH; Jang SJ; Sinusas AJ; Wong SC; Mosadegh B; | 40283240 ENCS |
| 11 | The Present and Future of Adult Entertainment: A Content Analysis of AI-Generated Pornography Websites | Lapointe VA; Dubé S; Rukhlyadyev S; Kessai T; Lafortune D; | 40032709 PSYCHOLOGY |
| 12 | MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle | McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; | 39590726 HKAP |
| 13 | Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks | Abicumaran Uthamacumaran | 39420135 PSYCHOLOGY |
| 14 | Recommendations on the use of artificial intelligence in health promotion | Smith A; Arena R; Bacon SL; Faghy MA; Grazzi G; Raisi A; Vermeesch AL; Ong' wen M; Popovic D; Pronk NP; | 39389332 HKAP |
| 15 | Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game | Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; | 39052314 ENCS |
| 16 | LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy | St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertal M; Madani A; | 39009730 ENCS |
| 17 | Who Should Decide How Machines Make Morally Laden Decisions? | Dominic Martin | 27905083 JMSB |
| 18 | The State of Artificial Intelligence in Skin Cancer Publications | Joly-Chevrier M; Nguyen AX; Liang L; Lesko-Krleza M; Lefrançois P; | 38323537 ENCS |
| 19 | Performance of ChatGPT on a Practice Dermatology Board Certification Examination | Joly-Chevrier M; Nguyen AX; Lesko-Krleza M; Lefrançois P; | 37489920 ENCS |
| 20 | Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics | Abicumaran Uthamacumaran | 35678918 PHYSICS |
| 21 | The Algorithms of Mindfulness | Johannes Bruder | 35103028 CONCORDIA |
| 22 | Evaluation of the Diet Tracking Smartphone Application Keenoa™: A Qualitative Analysis | Bouzo V; Plourde H; Beckenstein H; Cohen TR; | 34582258 PERFORM |
| 23 | Osseointegration Pharmacology: A Systematic Mapping Using Artificial Intelligence | Mahri M; Shen N; Berrizbeitia F; Rodan R; Daer A; Faigan M; Taqi D; Wu KY; Ahmadi M; Ducret M; Emami E; Tamimi F; | 33181361 CONCORDIA |
| Title: | The State of Artificial Intelligence in Skin Cancer Publications | ||||
| Authors: | Joly-Chevrier M, Nguyen AX, Liang L, Lesko-Krleza M, Lefrançois P | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/38323537/ | ||||
| DOI: | 10.1177/12034754241229361 | ||||
| Publication: | Journal of cutaneous medicine and surgery | ||||
| Keywords: | artificial intelligence; bibliometric; deep learning; machine learning; skin cancer; | ||||
| PMID: | 38323537 | Category: | Date Added: | 2024-02-07 | |
| Dept Affiliation: |
ENCS
1 Faculty of Medicine, Université de Montréal, Montreal, QC, Canada. 2 Department of Ophthalmology, University of Toronto, Toronto, ON, Canada. 3 Faculty of Engineering, McGill University, Montreal, QC, Canada. 4 Division of Computer Engineering, Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada. 5 Division of Dermatology, Department of Medicine, McGill University, Montreal, QC, Canada. 6 Division of Dermatology, Department of Medicine, Jewish General Hospital, Montreal, QC, Canada. 7 Lady Davis Institute for Medical Research, Montreal, QC, Canada. |
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Description: |
Background: Artificial intelligence (AI) in skin cancer is a promising research field to assist physicians and to provide support to patients remotely. Physicians' awareness to new developments in AI research is important to define the best practices and scope of integrating AI-enabled technologies within a clinical setting. Objectives: To analyze the characteristics and trends of AI skin cancer publications from dermatology journals. Methods: AI skin cancer publications were retrieved in June 2022 from the Web of Science. Publications were screened by title, abstract, and keywords to assess eligibility. Publications were fully reviewed. Publications were divided between nonmelanoma skin cancer (NMSC), melanoma, and skin cancer studies. The primary measured outcome was the number of citations. The secondary measured outcomes were articles' general characteristics and features related to AI. Results: A total of 168 articles were included: 25 on NMSC, 77 on melanoma, and 66 on skin cancer. The most common types of skin cancers were melanoma (134, 79.8%), basal cell carcinoma (61, 36.3%), and squamous cell carcinoma (45, 26.9%). All articles were published between 2000 and 2022, with 49 (29.2%) of them being published in 2021. Original studies that developed or assessed an algorithm predominantly used supervised learning (66, 97.0%) and deep neural networks (42, 67.7%). The most used imaging modalities were standard dermoscopy (76, 45.2%) and clinical images (39, 23.2%). Conclusions: Most publications focused on developing or assessing screening technologies with mainly deep neural network algorithms. This indicates the eminent need for dermatologists to label or annotate images used by novel AI systems. |
