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.
22. Artificial intelligence in hematological diagnostics: Game changer or gadget? Walter W; Pohlkamp C; Meggendorfer M; Nadarajah N; Kern W; Haferlach C; Haferlach T Blood Rev; 2023 Mar; 58():101019. PubMed ID: 36241586 [TBL] [Abstract][Full Text] [Related]
23. High-dimensional role of AI and machine learning in cancer research. Capobianco E Br J Cancer; 2022 Mar; 126(4):523-532. PubMed ID: 35013580 [TBL] [Abstract][Full Text] [Related]
24. Role of artificial intelligence and vibrational spectroscopy in cancer diagnostics. Rehman IU; Khan RS; Rehman S Expert Rev Mol Diagn; 2020 Aug; 20(8):749-755. PubMed ID: 32544359 [TBL] [Abstract][Full Text] [Related]
25. Machine intelligence in non-invasive endocrine cancer diagnostics. Thomasian NM; Kamel IR; Bai HX Nat Rev Endocrinol; 2022 Feb; 18(2):81-95. PubMed ID: 34754064 [TBL] [Abstract][Full Text] [Related]
26. Integrating next-generation sequencing into clinical cancer diagnostics. Chan M; Lee CW; Wu M Expert Rev Mol Diagn; 2013 Sep; 13(7):647-50. PubMed ID: 24063391 [No Abstract] [Full Text] [Related]
27. Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing. Zhang J; Liu J; Sun J; Chen C; Foltz G; Lin B Brief Bioinform; 2014 Mar; 15(2):244-55. PubMed ID: 23818492 [TBL] [Abstract][Full Text] [Related]
28. Preface: Artificial intelligence (AI), machine learning ML) and digital pathology integration are the next major chapter in our diagnostic pathology and laboratory medicine arena. Rashidi HH; Chen M Semin Diagn Pathol; 2023 Mar; 40(2):69-70. PubMed ID: 36890028 [TBL] [Abstract][Full Text] [Related]
29. Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling. Stenzinger A; Alber M; Allgäuer M; Jurmeister P; Bockmayr M; Budczies J; Lennerz J; Eschrich J; Kazdal D; Schirmacher P; Wagner AH; Tacke F; Capper D; Müller KR; Klauschen F Semin Cancer Biol; 2022 Sep; 84():129-143. PubMed ID: 33631297 [TBL] [Abstract][Full Text] [Related]
30. Patient generated health data and electronic health record integration in oncologic surgery: A call for artificial intelligence and machine learning. Melstrom LG; Rodin AS; Rossi LA; Fu P; Fong Y; Sun V J Surg Oncol; 2021 Jan; 123(1):52-60. PubMed ID: 32974930 [TBL] [Abstract][Full Text] [Related]
31. The 3D Revolution in Cancer Discovery. Wang L; Li M; Hwang TH Cancer Discov; 2024 Apr; 14(4):625-629. PubMed ID: 38571426 [TBL] [Abstract][Full Text] [Related]
33. [Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases]. Yu YY Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jan; 23(1):33-37. PubMed ID: 31958928 [TBL] [Abstract][Full Text] [Related]
34. The limits of machine intelligence: Despite progress in machine intelligence, artificial general intelligence is still a major challenge. Shevlin H; Vold K; Crosby M; Halina M EMBO Rep; 2019 Oct; 20(10):e49177. PubMed ID: 31531926 [TBL] [Abstract][Full Text] [Related]
35. Artificial intelligence in cancer diagnostics and therapy: current perspectives. Majumder A; Sen D Indian J Cancer; 2021; 58(4):481-492. PubMed ID: 34975094 [TBL] [Abstract][Full Text] [Related]
37. SomaticSeq: An Ensemble and Machine Learning Method to Detect Somatic Mutations. Fang LT Methods Mol Biol; 2020; 2120():47-70. PubMed ID: 32124311 [TBL] [Abstract][Full Text] [Related]
38. Artificial intelligence in cancer target identification and drug discovery. You Y; Lai X; Pan Y; Zheng H; Vera J; Liu S; Deng S; Zhang L Signal Transduct Target Ther; 2022 May; 7(1):156. PubMed ID: 35538061 [TBL] [Abstract][Full Text] [Related]
39. Prediction of chemotherapy-related complications in pediatric oncology patients: artificial intelligence and machine learning implementations. Ardahan Sevgili S; Şenol S Pediatr Res; 2023 Jan; 93(2):390-395. PubMed ID: 36302858 [TBL] [Abstract][Full Text] [Related]
40. Machine learning technologies in CT-based diagnostics and classification of intracranial hemorrhages. Smorchkova AK; Khoruzhaya AN; Kremneva EI; Petryaikin AV Zh Vopr Neirokhir Im N N Burdenko; 2023; 87(2):85-91. PubMed ID: 37011333 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]