UMMS Artificial Intelligence

On this page are samples of articles describing a variety of clinical uses of AI. Above this text is a video from "The Medical Futurist", Dr. Bertalan Mesko, Ph.D., highlighting some of the best known applications of AI in healthcare.

This paragraph provides instructions for how to use the RSS feed which is the next section of content, immediately below this paragraph. The RSS feed pulls from PubMed a list of five of the newest articles on Generative AI as used in healthcare. The article list changes each time there is an update to the content in the database, which can happen several times each day. If you want to force an update to the list, please reload or refresh the page. Beside each article title is a date showing when the article was added to PubMed, and an image of the letter "I" for information. Clicking on the "I" will provide an extract from the abstract of the article. Below the list of article titles are the words "Website" and "Feed." Clicking on "Website" will take you to this search strategy in PubMed. Clicking on "Feed" will take you to the link for the RSS feed. 

• Adlung L, Cohen Y, Mor U, Elinav E. Machine learning in clinical decision making. Med. 2021 Jun 11;2(6):642-665. doi: 10.1016/j.medj.2021.04.006. Epub 2021 Apr 30. PMID: 35590138.
• Gu F, Meyer AJ, Ježek F, Zhang S, Catalan T, Miller A, Schenk NA, Sturgess VE, Uceda D, Li R, Wittrup E, Hua X, Carlson BE, Tang YD, Raza F, Najarian K, Hummel SL, Beard DA. Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure. NPJ Digit Med. 2025 Feb 18;8(1):110. doi: 10.1038/s41746-025-01501-9. PMID: 39966509; PMCID: PMC11836287.
• Kraemer MUG, Tsui JL, Chang SY, Lytras S, Khurana MP, Vanderslott S, Bajaj S, Scheidwasser N, Curran-Sebastian JL, Semenova E, Zhang M, Unwin HJT, Watson OJ, Mills C, Dasgupta A, Ferretti L, Scarpino SV, Koua E, Morgan O, Tegally H, Paquet U, Moutsianas L, Fraser C, Ferguson NM, Topol EJ, Duchêne DA, Stadler T, Kingori P, Parker MJ, Dominici F, Shadbolt N, Suchard MA, Ratmann O, Flaxman S, Holmes EC, Gomez-Rodriguez M, Schölkopf B, Donnelly CA, Pybus OG, Cauchemez S, Bhatt S. Artificial intelligence for modelling infectious disease epidemics. Nature. 2025 Feb;638(8051):623-635. doi: 10.1038/s41586-024-08564-w. Epub 2025 Feb 19. PMID: 39972226.
• Niraula D, Sun W, Jin J, Dinov ID, Cuneo K, Jamaluddin J, Matuszak MM, Luo Y, Lawrence TS, Jolly S, Ten Haken RK, El Naqa I. A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS). Sci Rep. 2023 Mar 31;13(1):5279. doi: 10.1038/s41598-023-32032-6. PMID: 37002296; PMCID: PMC10066294.
• Rajaei F, Cheng S, Williamson CA, Wittrup E, Najarian K. AI-Based Decision Support System for Traumatic Brain Injury: A Survey. Diagnostics (Basel). 2023 May 5;13(9):1640. doi: 10.3390/diagnostics13091640. PMID: 37175031; PMCID: PMC10177859.
• Sun D, Hadjiiski L, Gormley J, Chan HP, Caoili E, Cohan R, Alva A, Bruno G, Mihalcea R, Zhou C, Gulani V. Outcome Prediction Using Multi-Modal Information: Integrating Large Language Model-Extracted Clinical Information and Image Analysis. Cancers (Basel). 2024 Jun 29;16(13):2402. doi: 10.3390/cancers16132402. PMID: 39001463; PMCID: PMC11240460.
• Rubenstein JH, Fontaine S, MacDonald PW, Burns JA, Evans RR, Arasim ME, Chang JW, Firsht EM, Hawley ST, Saini SD, Wallner LP, Zhu J, Waljee AK. Predicting Incident Adenocarcinoma of the Esophagus or Gastric Cardia Using Machine Learning of Electronic Health Records. Gastroenterology. 2023 Dec;165(6):1420-1429.e10. doi: 10.1053/j.gastro.2023.08.011. Epub 2023 Aug 18. PMID: 37597631; PMCID: PMC11013733.
• Hollon T, Jiang C, Chowdury A, Nasir-Moin M, Kondepudi A, Aabedi A, Adapa A, Al-Holou W, Heth J, Sagher O, Lowenstein P, Castro M, Wadiura LI, Widhalm G, Neuschmelting V, Reinecke D, von Spreckelsen N, Berger MS, Hervey-Jumper SL, Golfinos JG, Snuderl M, Camelo-Piragua S, Freudiger C, Lee H, Orringer DA. Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging. Nat Med. 2023 Apr;29(4):828-832. doi: 10.1038/s41591-023-02252-4. Epub 2023 Mar 23. PMID: 36959422; PMCID: PMC10445531.

• Obuchowicz R, Strzelecki M, Piórkowski A. Clinical Applications of Artificial Intelligence in Medical Imaging and Image Processing-A Review. Cancers (Basel). 2024 May 14;16(10):1870. doi: 10.3390/cancers16101870. PMID: 38791949; PMCID: PMC11120567.
• Samala RK, Drukker K, Shukla-Dave A, Chan HP, Sahiner B, Petrick N, Greenspan H, Mahmood U, Summers RM, Tourassi G, Deserno TM, Regge D, Näppi JJ, Yoshida H, Huo Z, Chen Q, Vergara D, Cha KH, Mazurchuk R, Grizzard KT, Huisman H, Morra L, Suzuki K, Armato SG 3rd, Hadjiiski L. AI and machine learning in medical imaging: key points from development to translation. BJR Artif Intell. 2024 Apr 29;1(1):ubae006. doi: 10.1093/bjrai/ubae006. PMID: 38828430; PMCID: PMC11140849.
• Sun D, Hadjiiski L, Gormley J, Chan HP, Caoili E, Cohan R, Alva A, Bruno G, Mihalcea R, Zhou C, Gulani V. Outcome Prediction Using Multi-Modal Information: Integrating Large Language Model-Extracted Clinical Information and Image Analysis. Cancers (Basel). 2024 Jun 29;16(13):2402. doi: 10.3390/cancers16132402. PMID: 39001463; PMCID: PMC11240460.
• Varoquaux G, Cheplygina V. Machine learning for medical imaging: methodological failures and recommendations for the future. NPJ Digit Med. 2022 Apr 12;5(1):48. doi: 10.1038/s41746-022-00592-y. PMID: 35413988; PMCID: PMC9005663.
• Waldman CE, Hermel M, Hermel JA, Allinson F, Pintea MN, Bransky N, Udoh E, Nicholson L, Robinson A, Gonzalez J, Suhar C, Nayak K, Wesbey G, Bhavnani SP. Artificial intelligence in healthcare: a primer for medical education in radiomics. Per Med. 2022 Sep;19(5):445-456. doi: 10.2217/pme-2022-0014. Epub 2022 Jul 26. PMID: 35880428.
• Warner E, Lee J, Hsu W, Syeda-Mahmood T, Kahn CE Jr, Gevaert O, Rao A. Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. Int J Comput Vis. 2024;132(9):3753-3769. doi: 10.1007/s11263-024-02032-8. Epub 2024 Apr 23. PMID: 39211895; PMCID: PMC11349845.

• Abad-Zapatero C. Artificial intelligence (AI) and alternative variables (AV) in drug discovery: A promising alliance. Drug Discov Today. 2024 May;29(5):103978. doi: 10.1016/j.drudis.2024.103978. Epub 2024 Apr 9. PMID: 38599277.
• Blanco-González A, Cabezón A, Seco-González A, Conde-Torres D, Antelo-Riveiro P, Piñeiro Á, Garcia-Fandino R. The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies. Pharmaceuticals (Basel). 2023 Jun 18;16(6):891. doi: 10.3390/ph16060891. PMID: 37375838; PMCID: PMC10302890.
• Goble K, Mehta A, Guilbaud D, Fessler J, Chen J, Nenad W, Ford CG, Cope O, Cheng D, Dennis W, Gurumurthy N, Wang Y, Shukla K, Brunk E. Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses. Front Pharmacol. 2025 Feb 3;15:1516621. doi: 10.3389/fphar.2024.1516621. PMID: 39963364; PMCID: PMC11830698.
• Khan MK, Raza M, Shahbaz M, Hussain I, Khan MF, Xie Z, Shah SSA, Tareen AK, Bashir Z, Khan K. The recent advances in the approach of artificial intelligence (AI) towards drug discovery. Front Chem. 2024 May 31;12:1408740. doi: 10.3389/fchem.2024.1408740. PMID: 38882215; PMCID: PMC11176507.
• Lin CX, Guan Y, Li HD. Artificial intelligence approaches for molecular representation in drug response prediction. Curr Opin Struct Biol. 2024 Feb;84:102747. doi: 10.1016/j.sbi.2023.102747. Epub 2023 Dec 13. PMID: 38091924.
• Roy SP, Kadiri SK, Bhowmik S, Patel V, Deb L, Tiwari P. Revolutionizing Drug Development: Harnessing Artificial Intelligence in Pharmaceutical Sciences. Curr Drug Discov Technol. 2025 Feb 14. doi: 10.2174/0115701638343448250207053913. Epub ahead of print. PMID: 39957703.