 Artificial Intelligence
"Artificial Intelligence" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
The study and implementation of techniques and methods for designing computer systems to perform functions normally associated with human intelligence, such as understanding language, learning, reasoning, and problem solving.
| Descriptor ID |
D001185
|
| MeSH Number(s) |
L01.224.065
|
| Concept/Terms |
Artificial Intelligence- Artificial Intelligence
- Intelligence, Artificial
- Computational Intelligence
- Computational Intelligences
- Intelligence, Computational
- Intelligences, Computational
- Machine Intelligence
- Intelligence, Machine
- AI (Artificial Intelligence)
- AIs (Artificial Intelligence)
- Computer Reasoning
- Reasoning, Computer
Knowledge Acquisition (Computer)- Knowledge Acquisition (Computer)
- Acquisition, Knowledge (Computer)
- Acquisitions, Knowledge (Computer)
- Knowledge Acquisitions (Computer)
Knowledge Representation (Computer)- Knowledge Representation (Computer)
- Knowledge Representations (Computer)
- Representation, Knowledge (Computer)
- Representations, Knowledge (Computer)
Computer Vision Systems- Computer Vision Systems
- Computer Vision System
- System, Computer Vision
- Systems, Computer Vision
- Vision System, Computer
- Vision Systems, Computer
|
Below are MeSH descriptors whose meaning is more general than "Artificial Intelligence".
Below are MeSH descriptors whose meaning is more specific than "Artificial Intelligence".
This graph shows the total number of publications written about "Artificial Intelligence" by people in UAMS Profiles by year, and whether "Artificial Intelligence" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2024 | 6 | 4 | 10 | | 2023 | 7 | 9 | 16 | | 2022 | 3 | 3 | 6 | | 2021 | 4 | 2 | 6 | | 2020 | 3 | 0 | 3 | | 2019 | 1 | 0 | 1 | | 2013 | 0 | 3 | 3 | | 2011 | 0 | 1 | 1 | | 2010 | 0 | 2 | 2 | | 2009 | 2 | 1 | 3 | | 2008 | 8 | 6 | 14 | | 2007 | 2 | 1 | 3 | | 2006 | 0 | 1 | 1 | | 2002 | 1 | 0 | 1 | | 1995 | 0 | 1 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Artificial Intelligence" by people in Profiles over the past ten years.
-
Shaffer BC, Brown S, Chinapen S, Mangold KE, Lahoud O, Lopez-Jimenez F, Schaffer W, Liu J, Giralt S, Devlin S, Shah G, Scordo M, Papadopoulos E, Landau H, Usmani S, Perales MA, Friedman PA, Gersh BJ, Attia IZ, Noseworthy PA, Kosmidou I. Artificial intelligence enabled interpretation of ECG images to predict hematopoietic cell transplantation toxicity. Blood Adv. 2024 Nov 12; 8(21):5603-5611.
-
Rosen JM. Generative AI in Pediatric Gastroenterology. Curr Gastroenterol Rep. 2024 Dec; 26(12):342-348.
-
Bui CM, Le MK, Kawai M, Vuong HG, Rybski KJ, Mannava K, Kondo T, Okamoto T, Laageide L, Swick BL, Balzer B, Smoller BR. A Novel Artificial Intelligence-Based Parameterization Approach of the Stromal Landscape in Merkel Cell Carcinoma: A Multi-Institutional Study. Lab Invest. 2024 09; 104(9):102123.
-
Mathis WS, Zhao S, Pratt N, Weleff J, De Paoli S. Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods? Comput Methods Programs Biomed. 2024 Oct; 255:108356.
-
Insuasti-Beltran G, Al-Attar A. Automation in Flow Cytometry. Clin Lab Med. 2024 Sep; 44(3):455-463.
-
Blobel B, Oemig F, Ruotsalainen P, Brochhausen M, Giacomini M. The Representational Challenge for Designing and Managing 5P Medicine Ecosystems. Stud Health Technol Inform. 2024 May 23; 314:3-13.
-
Marmagkiolis K, Monlezun DJ, Caballero J, Cilingiroglu M, Brown MN, Ninios V, Ali A, Iliescu CA. Prevalence, mortality, cost, and disparities in transcatheter mitral valve repair and replacement in cancer patients: Artificial intelligence and propensity score national 5-year analysis of 7495 procedures. Int J Cardiol. 2024 Aug 01; 408:132091.
-
Huang Y, Guo J, Chen WH, Lin HY, Tang H, Wang F, Xu H, Bian J. A scoping review of fair machine learning techniques when using real-world data. J Biomed Inform. 2024 03; 151:104622.
-
Gangwani MK, Haghbin H, Ishtiaq R, Hasan F, Dillard J, Jaber F, Dahiya DS, Ali H, Salim S, Lee-Smith W, Sohail AH, Inamdar S, Aziz M, Hart B. Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy-A Network Analysis. Dig Dis Sci. 2024 Apr; 69(4):1380-1388.
-
Bornhorst J, Rokke D, Day P, Erdahl S, Wieczorek MA, Carter RE, Jannetto PJ. Assessment of Sigma Error Metrics Associated with Manual Secondary Result Review and Subsequent Artificial Intelligence-Driven Quality Assurance Review-Application to Kidney Stone Analysis. Clin Chem. 2024 02 07; 70(2):453-455.
-
Desai M, Ausk K, Brannan D, Chhabra R, Chan W, Chiorean M, Gross SA, Girotra M, Haber G, Hogan RB, Jacob B, Jonnalagadda S, Iles-Shih L, Kumar N, Law J, Lee L, Lin O, Mizrahi M, Pacheco P, Parasa S, Phan J, Reeves V, Sethi A, Snell D, Underwood J, Venu N, Visrodia K, Wong A, Winn J, Wright CH, Sharma P. Use of a Novel Artificial Intelligence System Leads to the Detection of Significantly Higher Number of Adenomas During Screening and Surveillance Colonoscopy: Results From a Large, Prospective, US Multicenter, Randomized Clinical Trial. Am J Gastroenterol. 2024 07 01; 119(7):1383-1391.
-
Sachdeva R, Armstrong AK, Arnaout R, Grosse-Wortmann L, Han BK, Mertens L, Moore RA, Olivieri LJ, Parthiban A, Powell AJ. Novel Techniques in Imaging Congenital Heart Disease: JACC Scientific Statement. J Am Coll Cardiol. 2024 01 02; 83(1):63-81.
-
Khan W, Zaki N, Ghenimi N, Ahmad A, Bian J, Masud MM, Ali N, Govender R, Ahmed LA. Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women. PLoS One. 2023; 18(12):e0293925.
-
Musleh AM, AlRyalat SA, Abid MN, Salem Y, Hamila HM, Sallam AB. Diagnostic accuracy of artificial intelligence in detecting retinitis pigmentosa: A systematic review and meta-analysis. Surv Ophthalmol. 2024 May-Jun; 69(3):411-417.
-
Gautam N, Mueller J, Alqaisi O, Gandhi T, Malkawi A, Tarun T, Alturkmani HJ, Zulqarnain MA, Pontone G, Al'Aref SJ. Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches. Curr Atheroscler Rep. 2023 12; 25(12):1069-1081.
-
Ryan ML, Knod JL, Pandya SR. Creation of Three-dimensional Anatomic Models in Pediatric Surgical Patients Using Cross-sectional Imaging: A Demonstration of Low-cost Methods and Applications. J Pediatr Surg. 2024 Mar; 59(3):426-431.
-
Pierce JE. AI-Generated Images for Speech Pathology-An Exploratory Application to Aphasia Assessment and Intervention Materials. Am J Speech Lang Pathol. 2024 01 03; 33(1):443-451.
-
Salman S, Gu Q, Sharma R, Wei Y, Dherin B, Reddy S, Tawk R, Freeman WD. Artificial intelligence and machine learning in aneurysmal subarachnoid hemorrhage: Future promises, perils, and practicalities. J Neurol Sci. 2023 11 15; 454:120832.
-
Bittrich M, Hetterich R, Solimando AG, Krebs M, Loda S, Danhof S, Anton S, Zhou X, Kerscher A, Beilhack A, Kort?m KM, Rasche L, Einsele H, Knop S, Hartmann S. Does medication-related osteonecrosis of the jaw affect survival of patients with Multiple Myeloma?: Exploring a large single center database using artificial intelligence. Clin Exp Med. 2023 Dec; 23(8):5215-5226.
-
Wang S, Argikar UA, Cheruzel L, Cho S, Crouch RD, Dhaware D, Heck CJS, Johnson KM, Kalgutkar AS, King L, Liu J, Ma B, Maw H, Miller GP, Seneviratne HK, Takahashi RH, Wei C, Khojasteh SC. Bioactivation and reactivity research advances - 2022 year in review?. Drug Metab Rev. 2023 11; 55(4):267-300.
-
Chen KA, Kirchoff KE, Butler LR, Holloway AD, Kapadia MR, Kuzmiak CM, Downs-Canner SM, Spanheimer PM, Gallagher KK, Gomez SM. Analysis of Specimen Mammography with Artificial Intelligence to Predict Margin Status. Ann Surg Oncol. 2023 Nov; 30(12):7107-7115.
-
Mayo CS, Feng MU, Brock KK, Kudner R, Balter P, Buchsbaum JC, Caissie A, Covington E, Daugherty EC, Dekker AL, Fuller CD, Hallstrom AL, Hong DS, Hong JC, Kamran SC, Katsoulakis E, Kildea J, Krauze AV, Kruse JJ, McNutt T, Mierzwa M, Moreno A, Palta JR, Popple R, Purdie TG, Richardson S, Sharp GC, Satomi S, Tarbox LR, Venkatesan AM, Witztum A, Woods KE, Yao Y, Farahani K, Aneja S, Gabriel PE, Hadjiiski L, Ruan D, Siewerdsen JH, Bratt S, Casagni M, Chen S, Christodouleas JC, DiDonato A, Hayman J, Kapoor R, Kravitz S, Sebastian S, Von Siebenthal M, Bosch W, Hurkmans C, Yom SS, Xiao Y. Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer. Int J Radiat Oncol Biol Phys. 2023 11 01; 117(3):533-550.
-
Cifarelli CP, Sheehan JP. Large language model artificial intelligence: the current state and future of ChatGPT in neuro-oncology publishing. J Neurooncol. 2023 06; 163(2):473-474.
-
Adikari A, Hernandez N, Alahakoon D, Rose ML, Pierce JE. From concept to practice: a scoping review of the application of AI to aphasia diagnosis and management. Disabil Rehabil. 2024 Apr; 46(7):1288-1297.
-
Kondylakis H, Kalokyri V, Sfakianakis S, Marias K, Tsiknakis M, Jimenez-Pastor A, Camacho-Ramos E, Blanquer I, Segrelles JD, L?pez-Huguet S, Barelle C, Kogut-Czarkowska M, Tsakou G, Siopis N, Sakellariou Z, Bizopoulos P, Drossou V, Lalas A, Votis K, Mallol P, Marti-Bonmati L, Alberich LC, Seymour K, Boucher S, Ciarrocchi E, Fromont L, Rambla J, Harms A, Gutierrez A, Starmans MPA, Prior F, Gelpi JL, Lekadir K. Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects. Eur Radiol Exp. 2023 05 08; 7(1):20.
-
Dalabih A, Aljabari S. Unlocking the power of AI to accelerate scientific progress and global collaboration. Pediatr Res. 2023 09; 94(3):873-874.
-
Njei B, Kanmounye US, Seto N, McCarty TR, Mohan BP, Fozo L, Navaneethan U. Artificial intelligence in medical imaging for cholangiocarcinoma diagnosis: A systematic review with scientometric analysis. J Gastroenterol Hepatol. 2023 Jun; 38(6):874-882.
-
Malhotra A, Molloy EJ, Bearer CF, Mulkey SB. Emerging role of artificial intelligence, big data analysis and precision medicine in pediatrics. Pediatr Res. 2023 01; 93(2):281-283.
-
Medeiros FA, Lee T, Jammal AA, Al-Aswad LA, Eydelman MB, Schuman JS. The Definition of Glaucomatous Optic Neuropathy in Artificial Intelligence Research and Clinical Applications. Ophthalmol Glaucoma. 2023 Jul-Aug; 6(4):432-438.
-
Fu S, Wang L, Moon S, Zong N, He H, Pejaver V, Relevo R, Walden A, Haendel M, Chute CG, Liu H. Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review. Clin Transl Sci. 2023 03; 16(3):398-411.
-
Thomas DM, Kleinberg S, Brown AW, Crow M, Bastian ND, Reisweber N, Lasater R, Kendall T, Shafto P, Blaine R, Smith S, Ruiz D, Morrell C, Clark N. Machine learning modeling practices to support the principles of AI and ethics in nutrition research. Nutr Diabetes. 2022 12 02; 12(1):48.
-
Njei B, McCarty TR, Navaneethan U. Artificial intelligence-assisted cholangioscopy for automatic detection of malignant biliary strictures. Gastrointest Endosc. 2022 12; 96(6):1092-1093.
-
Berchuck SI, Jammal AA, Page D, Somers TJ, Medeiros FA. A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm. Transl Vis Sci Technol. 2022 10 03; 11(10):6.
-
Seker E, Talburt JR, Greer ML. Preprocessing to Address Bias in Healthcare Data. Stud Health Technol Inform. 2022 May 25; 294:327-331.
-
Duarte-Rojo A, Sejdic E. Artificial Intelligence and the Risk for Intuition Decline in Clinical Medicine. Am J Gastroenterol. 2022 03 01; 117(3):401-402.
-
Al-Aswad LA, Ramachandran R, Schuman JS, Medeiros F, Eydelman MB. Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression. Ophthalmol Glaucoma. 2022 Sep-Oct; 5(5):e16-e25.
-
Yang F, Darsey JA, Ghosh A, Li HY, Yang MQ, Wang S. Artificial Intelligence and Cancer Drug Development. Recent Pat Anticancer Drug Discov. 2022; 17(1):2-8.
-
Schuman JS, De Los Angeles Ramos Cadena M, McGee R, Al-Aswad LA, Medeiros FA. A Case for the Use of Artificial Intelligence in Glaucoma Assessment. Ophthalmol Glaucoma. 2022 May-Jun; 5(3):e3-e13.
-
Khorsandi SE, Hardgrave HJ, Osborn T, Klutts G, Nigh J, Spencer-Cole RT, Kakos CD, Anastasiou I, Mavros MN, Giorgakis E. Artificial Intelligence in Liver Transplantation. Transplant Proc. 2021 Dec; 53(10):2939-2944.
-
Blobel B, Ruotsalainen P, Brochhausen M. Autonomous Systems and Artificial Intelligence - Hype or Prerequisite for P5 Medicine? Stud Health Technol Inform. 2021 Oct 27; 285:3-14.
-
Anastasiou J, Coronel E, Cazacu I, Saftoiu A, Berzin T. Artificial Intelligence-Assisted Diagnostic Approaches for Pancreatic Disease. Pancreas. 2021 09 01; 50(8):e69-e70.
-
Guo Y, Zhang Y, Lyu T, Prosperi M, Wang F, Xu H, Bian J. The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. J Am Med Inform Assoc. 2021 08 13; 28(9):2050-2067.
-
Syed M, Syed S, Sexton K, Greer ML, Zozus M, Bhattacharyya S, Syed F, Prior F. Deep Learning Methods to Predict Mortality in COVID-19 Patients: A Rapid Scoping Review. Stud Health Technol Inform. 2021 May 27; 281:799-803.
-
Sorensen JI, Nikam RM, Choudhary AK. Artificial intelligence in child abuse imaging. Pediatr Radiol. 2021 May; 51(6):1061-1064.
-
Diaz O, Kushibar K, Osuala R, Linardos A, Garrucho L, Igual L, Radeva P, Prior F, Gkontra P, Lekadir K. Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools. Phys Med. 2021 Mar; 83:25-37.
-
Chen Z, Liu X, Hogan W, Shenkman E, Bian J. Applications of artificial intelligence in drug development using real-world data. Drug Discov Today. 2021 05; 26(5):1256-1264.
-
Payrovnaziri SN, Chen Z, Rengifo-Moreno P, Miller T, Bian J, Chen JH, Liu X, He Z. Explainable artificial intelligence models using real-world electronic health?record data: a systematic scoping review. J Am Med Inform Assoc. 2020 07 01; 27(7):1173-1185.
-
Blobel B, Ruotsalainen P, Brochhausen M, Oemig F, Uribe GA. Autonomous Systems and Artificial Intelligence in Healthcare Transformation to 5P Medicine - Ethical Challenges. Stud Health Technol Inform. 2020 Jun 16; 270:1089-1093.
-
Bona JP, Prior FW, Zozus MN, Brochhausen M. Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective. Yearb Med Inform. 2019 Aug; 28(1):140-151.
-
Kromenacker B, Maarouf M, Shi VY. Augmented Intelligence in Dermatology: Fantasy or Future? Dermatology. 2019; 235(3):250-252.
|
People  People who have written about this concept. _
Similar Concepts
People who have written about this concept.
_
Top Journals
Top journals in which articles about this concept have been published.
|