 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 |
|---|
| 2025 | 11 | 3 | 14 | | 2024 | 14 | 6 | 20 | | 2023 | 10 | 9 | 19 | | 2022 | 4 | 3 | 7 | | 2021 | 3 | 4 | 7 | | 2020 | 3 | 1 | 4 | | 2019 | 2 | 0 | 2 | | 2018 | 0 | 1 | 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.
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Agarwal S, Rajput MS, Pandey S, Ramai D, Tabibian JH, Ofosu A, Barakat MT, Girotra M, Mahapatra SJ. Evaluation of the use of convoluted neural network for detecting early gastric cancer and predicting its invasion depth: A systematic review and meta-analysis. Dig Liver Dis. 2025 Oct; 57(10):1901-1907.
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Patel N, O'Brien J, Bunn R, Schanbacher B, Bauer J, Lam GK. Perinatal artificial intelligence in ultrasound (PAIR) study: predicting delivery timing. J Matern Fetal Neonatal Med. 2025 Dec; 38(1):2532099.
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Sorensen TD, Cox CD, Haines ST, Lin AYF, Melchert RB, Ellingrod V, Farland MZ, Hemstreet BA, Matsumoto RR, McGivney MS, Vatanka P, Vermeulen LC. AACP Argus Commission Forecast 2025. Am J Pharm Educ. 2025 Aug; 89(8):101441.
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Mak CCY, Klinkhammer H, Choufani S, Reko N, Christman AK, Pisan E, Chui MMC, Lee M, Leduc F, Dempsey JC, Sanchez-Lara PA, Bombei HM, Bernat JA, Faivre L, Mau-Them FT, Palafoll IV, Canham N, Sarkar A, Zarate YA, Callewaert B, Bukowska-Olech E, Jamsheer A, Zankl A, Willems M, Duncan L, Isidor B, Cogne B, Boute O, Vanlerberghe C, Goldenberg A, Stolerman E, Low KJ, Gilard V, Amiel J, Lin AE, Gordon CT, Doherty D, Krawitz PM, Weksberg R, Hsieh TC, Chung BHY. Artificial intelligence-driven genotype-epigenotype-phenotype approaches to resolve challenges in syndrome diagnostics. EBioMedicine. 2025 May; 115:105677.
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Ramai D, Collins B, Ofosu A, Mohan BP, Jagannath S, Tabibian JH, Girotra M, Barakat MT. Deep Learning Methods in the Imaging of Hepatic and Pancreaticobiliary Diseases. J Clin Gastroenterol. 2025 May-Jun 01; 59(5):405-411.
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Bona JP. Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey. Yearb Med Inform. 2024 Aug; 33(1):216-222.
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Feuchtner GM, Lacaita PG, Bax JJ, Rodriguez F, Nakanishi R, Pontone G, Mushtaq S, Buechel RR, Gr?ni C, Patel AR, Singulane CC, Choi AD, Al-Mallah M, Andreini D, Karlsberg RP, Cho G, Rochitte CE, Alasnag M, Hamdan A, Cademartiri F, Maffei E, Marques H, Gon?alves Pereira PM, Gupta H, Hadamitzky M, Khalique O, Kalra D, Mills JD, Nurmohamed NS, Knaapen P, Budoff M, Shaikh K, Martin E, German DM, Ferencik M, Oehler AC, Dea?o R, Nagpal P, Van Assen M, De Cecco CN, Foldyna B, Brendel JM, Cheng VY, Branch K, Bittencourt M, Bhatti S, Polsani V, Wesbey G, Cardoso R, Blankstein R, Delago A, Pursnani A, Alsaid A, Bloom S, Kamperidis V, Barbieri F, Aquino M, Danad I, van Rosendael A. AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry. Circ Cardiovasc Imaging. 2025 Jun; 18(6):e018235.
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Garrucho L, Kushibar K, Reidel CA, Joshi S, Osuala R, Tsirikoglou A, Bobowicz M, Del Riego J, Catanese A, Gwozdziewicz K, Cosaka ML, Abo-Elhoda PM, Tantawy SW, Sakrana SS, Shawky-Abdelfatah NO, Salem AMA, Kozana A, Divjak E, Ivanac G, Nikiforaki K, Klontzas ME, Garc?a-Dosd? R, Gulsun-Akpinar M, Lafci O, Mann R, Mart?n-Isla C, Prior F, Marias K, Starmans MPA, Strand F, D?az O, Igual L, Lekadir K. A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations. Sci Data. 2025 Mar 19; 12(1):453.
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Abdelaziz O, Lee S, Howard S, Lefler L. Perceptions and Attitudes of Registered Nurses and Nursing Students Toward Advanced Technology and Artificial Intelligence: A Review of Literature. Comput Inform Nurs. 2025 Mar 01; 43(3).
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Rosen JM. How Artificial Intelligence, Virtual Reality, and Other Digital Technologies Are Changing the Field of Pediatric Neurogastroenterology. Gastroenterol Clin North Am. 2025 Sep; 54(3):667-679.
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Parikh M, Tejaswi S, Girotra T, Chopra S, Ramai D, Tabibian JH, Jagannath S, Ofosu A, Barakat MT, Mishra R, Girotra M. Use of Artificial Intelligence in Lower Gastrointestinal and Small Bowel Disorders: An Update Beyond Polyp Detection. J Clin Gastroenterol. 2025 Feb 01; 59(2):121-128.
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Wang T, Tam J, Chum T, Tai C, Marshall DC, Buckstein M, Liu J, Green S, Stewart RD, Liu T, Chao M. Evaluation of AI-based auto-contouring tools in radiotherapy: A single-institution study. J Appl Clin Med Phys. 2025 Apr; 26(4):e14620.
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Rjoop A, Al-Qudah M, Alkhasawneh R, Bataineh N, Abdaljaleel M, Rjoub MA, Alkhateeb M, Abdelraheem M, Al-Omari S, Bani-Mari O, Alkabalan A, Altulaih S, Rjoub I, Alshimi R. Awareness and Attitude Toward Artificial Intelligence Among Medical Students and Pathology Trainees: Survey Study. JMIR Med Educ. 2025 Jan 10; 11:e62669.
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Garc?a-Lezana T, Bobowicz M, Frid S, Rutherford M, Recuero M, Riklund K, Cabrelles A, Rygusik M, Fromont L, Francischello R, Neri E, Capella S, Navarro A, Prior F, Bona J, Nicolas P, Starmans MPA, Lekadir K, Rambla J. New implementation of data standards for AI in oncology: Experience from the EuCanImage project. Gigascience. 2025 Jan 06; 14.
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Pham TT, Brecheisen J, Wu CC, Nguyen H, Deng Z, Adjeroh D, Doretto G, Choudhary A, Le N. ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions. Artif Intell Med. 2025 02; 160:103054.
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Fleurence RL, Bian J, Wang X, Xu H, Dawoud D, Higashi M, Chhatwal J. Generative Artificial Intelligence for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations: An ISPOR Working Group Report. Value Health. 2025 02; 28(2):175-183.
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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 11 12; 8(21):5603-5611.
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Lyu YX, Fu Q, Wilczok D, Ying K, King A, Antebi A, Vojta A, Stolzing A, Moskalev A, Georgievskaya A, Maier AB, Olsen A, Groth A, Simon AK, Brunet A, Jamil A, Kulaga A, Bhatti A, Yaden B, Pedersen BK, Schumacher B, Djordjevic B, Kennedy B, Chen C, Huang CY, Correll CU, Murphy CT, Ewald CY, Chen D, Valenzano DR, Soldacki D, Erritzoe D, Meyer D, Sinclair DA, Chini EN, Teeling EC, Morgen E, Verdin E, Vernet E, Pinilla E, Fang EF, Bischof E, Mercken EM, Finger F, Kuipers F, Pun FW, Gy?lveszi G, Civiletto G, Zmudze G, Blander G, Pincus HA, McClure J, Kirkland JL, Peyer J, Justice JN, Vijg J, Gruhn JR, McLaughlin J, Mannick J, Passos J, Baur JA, Betts-LaCroix J, Sedivy JM, Speakman JR, Shlain J, von Maltzahn J, Andreasson KI, Moody K, Palikaras K, Fortney K, Niedernhofer LJ, Rasmussen LJ, Veenhoff LM, Melton L, Ferrucci L, Quarta M, Koval M, Marinova M, Hamalainen M, Unfried M, Ringel MS, Filipovic M, Topors M, Mitin N, Roy N, Pintar N, Barzilai N, Binetti P, Singh P, Kohlhaas P, Robbins PD, Rubin P, Fedichev PO, Kamya P, Mu?oz-Canoves P, de Cabo R, Faragher RGA, Konrad R, Ripa R, Mansukhani R, B?ttner S, Wickstr?m SA, Brunemeier S, Jakimov S, Luo S, Rosenzweig-Lipson S, Tsai SY, Dimmeler S, Rando TA, Peterson TR, Woods T, Wyss-Coray T, Finkel T, Strauss T, Gladyshev VN, Longo VD, Dwaraka VB, Gorbunova V, Acosta-Rodr?guez VA, Sorrentino V, Sebastiano V, Li W, Suh Y, Zhavoronkov A, Scheibye-Knudsen M, Bakula D. Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity. Aging (Albany NY). 2024 Oct 16; 16(20):12955-12976.
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Rosen JM. Generative AI in Pediatric Gastroenterology. Curr Gastroenterol Rep. 2024 Dec; 26(12):342-348.
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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.
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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.
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Ryan ML, Wang S, Pandya SR. Integrating Artificial Intelligence Into the Visualization and Modeling of Three-Dimensional Anatomy in Pediatric Surgical Patients. J Pediatr Surg. 2024 Dec; 59(12):161629.
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Clunie D, Prior F, Rutherford M, Moore S, Parker W, Kondylakis H, Ludwigs C, Klenk J, Lou B, O'Sullivan LT, Marcus D, Dobes J, Gutman A, Farahani K. Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification. J Imaging Inform Med. 2025 Feb; 38(1):1-15.
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Habibi M, Nourani M, Sullivan DH. An AI-Driven Camera-Based Platform for Patient Ambulation Assessment. Annu Int Conf IEEE Eng Med Biol Soc. 2024 Jul; 2024:1-4.
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Coyner AS, Young BK, Ostmo SR, Grigorian F, Ells A, Hubbard B, Rodriguez SH, Rishi P, Miller AM, Bhatt AR, Agarwal-Sinha S, Sears J, Chan RVP, Chiang MF, Kalpathy-Cramer J, Binenbaum G, Campbell JP. Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity. Ophthalmology. 2024 Nov; 131(11):1290-1296.
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Insuasti-Beltran G, Al-Attar A. Automation in Flow Cytometry. Clin Lab Med. 2024 Sep; 44(3):455-463.
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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 05 23; 314:3-13.
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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.
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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.
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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.
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Sung SH, Suh JM, Hwang YJ, Jang HW, Park JG, Jun SC. Data-centric artificial olfactory system based on the eigengraph. Nat Commun. 2024 Feb 08; 15(1):1211.
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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.
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Li F, Rasmy L, Xiang Y, Feng J, Abdelhameed A, Hu X, Sun Z, Aguilar D, Dhoble A, Du J, Wang Q, Niu S, Dang Y, Zhang X, Xie Z, Nian Y, He J, Zhou Y, Li J, Prosperi M, Bian J, Zhi D, Tao C. Dynamic Prognosis Prediction for Patients on DAPT After Drug-Eluting Stent Implantation: Model Development and Validation. J Am Heart Assoc. 2024 Feb 06; 13(3):e029900.
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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.
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Chaker SC, Hung YC, Saad M, Golinko MS, Galdyn IA. Easing the Burden on Caregivers- Applications of Artificial Intelligence for Physicians and Caregivers of Children with Cleft Lip and Palate. Cleft Palate Craniofac J. 2025 Apr; 62(4):574-587.
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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.
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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.
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Blacker SN, Kang M, Chakraborty I, Chowdhury T, Williams J, Lewis C, Zimmer M, Wilson B, Lele AV. Utilizing Artificial Intelligence and Chat Generative Pretrained Transformer to Answer Questions About Clinical Scenarios in Neuroanesthesiology. J Neurosurg Anesthesiol. 2024 Oct 01; 36(4):346-351.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Kleesiek J, Wu Y, Stiglic G, Egger J, Bian J. An Opinion on ChatGPT in Health Care-Written by Humans Only. J Nucl Med. 2023 05; 64(5):701-703.
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Dalabih A, Aljabari S. Unlocking the power of AI to accelerate scientific progress and global collaboration. Pediatr Res. 2023 09; 94(3):873-874.
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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.
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Haneberg AG, Pierre K, Winter-Reinhold E, Hochhegger B, Peters KR, Grajo J, Arreola M, Asadizanjani N, Bian J, Mancuso A, Forghani R. Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists. Semin Roentgenol. 2023 Apr; 58(2):152-157.
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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.
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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.
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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.
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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.
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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.
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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.
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Seker E, Talburt JR, Greer ML. Preprocessing to Address Bias in Healthcare Data. Stud Health Technol Inform. 2022 May 25; 294:327-331.
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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.
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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.
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Deng LJ, Deng WQ, Fan SR, Chen MF, Qi M, Lyu WY, Qi Q, Tiwari AK, Chen JX, Zhang DM, Chen ZS. m6A modification: recent advances, anticancer targeted drug discovery and beyond. Mol Cancer. 2022 02 14; 21(1):52.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Patel BV, Haar S, Handslip R, Auepanwiriyakul C, Lee TM, Patel S, Harston JA, Hosking-Jervis F, Kelly D, Sanderson B, Borgatta B, Tatham K, Welters I, Camporota L, Gordon AC, Komorowski M, Antcliffe D, Prowle JR, Puthucheary Z, Faisal AA. Natural history, trajectory, and management of mechanically ventilated COVID-19 patients in the United Kingdom. Intensive Care Med. 2021 05; 47(5):549-565.
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Sorensen JI, Nikam RM, Choudhary AK. Artificial intelligence in child abuse imaging. Pediatr Radiol. 2021 May; 51(6):1061-1064.
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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.
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