These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 38635456)

  • 21. A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health.
    Timmons AC; Duong JB; Simo Fiallo N; Lee T; Vo HPQ; Ahle MW; Comer JS; Brewer LC; Frazier SL; Chaspari T
    Perspect Psychol Sci; 2023 Sep; 18(5):1062-1096. PubMed ID: 36490369
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Translating AI to Clinical Practice: Overcoming Data Shift with Explainability.
    Choi Y; Yu W; Nagarajan MB; Teng P; Goldin JG; Raman SS; Enzmann DR; Kim GHJ; Brown MS
    Radiographics; 2023 May; 43(5):e220105. PubMed ID: 37104124
    [TBL] [Abstract][Full Text] [Related]  

  • 23. The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review.
    Istasy P; Lee WS; Iansavichene A; Upshur R; Gyawali B; Burkell J; Sadikovic B; Lazo-Langner A; Chin-Yee B
    J Med Internet Res; 2022 Nov; 24(11):e39748. PubMed ID: 36005841
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools.
    Saint James Aquino Y
    Aust J Gen Pract; 2023 Jul; 52(7):439-442. PubMed ID: 37423238
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future.
    Straw I
    Artif Intell Med; 2020 Nov; 110():101965. PubMed ID: 33250145
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A survey of recent methods for addressing AI fairness and bias in biomedicine.
    Yang Y; Lin M; Zhao H; Peng Y; Huang F; Lu Z
    J Biomed Inform; 2024 Jun; 154():104646. PubMed ID: 38677633
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Artificial Intelligence Bias in Health Care: Web-Based Survey.
    Vorisek CN; Stellmach C; Mayer PJ; Klopfenstein SAI; Bures DM; Diehl A; Henningsen M; Ritter K; Thun S
    J Med Internet Res; 2023 Jun; 25():e41089. PubMed ID: 37347528
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Avoiding bias in artificial intelligence.
    Gudis DA; McCoul ED; Marino MJ; Patel ZM
    Int Forum Allergy Rhinol; 2023 Mar; 13(3):193-195. PubMed ID: 36573806
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA.
    Brady AP; Allen B; Chong J; Kotter E; Kottler N; Mongan J; Oakden-Rayner L; Dos Santos DP; Tang A; Wald C; Slavotinek J
    Radiol Artif Intell; 2024 Jan; 6(1):e230513. PubMed ID: 38251899
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Harnessing artificial intelligence for advancing early diagnosis in hidradenitis suppurativa.
    Crovella S; Suleman M; Tricarico PM; Al-Khuzaei S; Moltrasio C; El Omri A; Marzano AV
    Ital J Dermatol Venerol; 2024 Feb; 159(1):43-49. PubMed ID: 38345291
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Trust in AI: why we should be designing for APPROPRIATE reliance.
    Benda NC; Novak LL; Reale C; Ancker JS
    J Am Med Inform Assoc; 2021 Dec; 29(1):207-212. PubMed ID: 34725693
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.
    Collins GS; Dhiman P; Andaur Navarro CL; Ma J; Hooft L; Reitsma JB; Logullo P; Beam AL; Peng L; Van Calster B; van Smeden M; Riley RD; Moons KG
    BMJ Open; 2021 Jul; 11(7):e048008. PubMed ID: 34244270
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Bridging Health Disparities in the Data-Driven World of Artificial Intelligence: A Narrative Review.
    Murphy A; Bowen K; Naqa IME; Yoga B; Green BL
    J Racial Ethn Health Disparities; 2024 Jul; ():. PubMed ID: 38955956
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Automation, machine learning, and artificial intelligence in echocardiography: A brave new world.
    Gandhi S; Mosleh W; Shen J; Chow CM
    Echocardiography; 2018 Sep; 35(9):1402-1418. PubMed ID: 29974498
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?
    Evans H; Snead D
    Histopathology; 2024 Jan; 84(2):279-287. PubMed ID: 37921030
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Bias at warp speed: how AI may contribute to the disparities gap in the time of COVID-19.
    Röösli E; Rice B; Hernandez-Boussard T
    J Am Med Inform Assoc; 2021 Jan; 28(1):190-192. PubMed ID: 32805004
    [TBL] [Abstract][Full Text] [Related]  

  • 37. AI pitfalls and what not to do: mitigating bias in AI.
    Gichoya JW; Thomas K; Celi LA; Safdar N; Banerjee I; Banja JD; Seyyed-Kalantari L; Trivedi H; Purkayastha S
    Br J Radiol; 2023 Oct; 96(1150):20230023. PubMed ID: 37698583
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Artificial Intelligence in Breast Imaging: Challenges of Integration Into Clinical Practice.
    Ozcan BB; Patel BK; Banerjee I; Dogan BE
    J Breast Imaging; 2023 May; 5(3):248-257. PubMed ID: 38416888
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework.
    van der Vegt AH; Scott IA; Dermawan K; Schnetler RJ; Kalke VR; Lane PJ
    J Am Med Inform Assoc; 2023 Jun; 30(7):1349-1361. PubMed ID: 37172264
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Participant flow diagrams for health equity in AI.
    Ellen JG; Matos J; Viola M; Gallifant J; Quion J; Anthony Celi L; Abu Hussein NS
    J Biomed Inform; 2024 Apr; 152():104631. PubMed ID: 38548006
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.