Research graph
References from Artificial intelligence (AI) and big data in cancer and precision oncology. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1007/978-3-030-26622-6
10.1007/978-3-030-26622-6 · 2020 · External reference
Artificial intelligence in healthcare: past, present and future
10.1136/svn-2017-000101 · 2017 · External reference
10.1093/cid/cix731
10.1093/cid/cix731 · External reference
Integrating Artificial Intelligence and Nanotechnology for Precision Cancer Medicine
10.1002/adma.201901989 · 2020 · External reference
The potential for artificial intelligence in healthcare
10.7861/futurehosp.6-2-94 · 2019 · External reference
Unresolved reference
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Applications of artificial intelligence in intelligent manufacturing: a review
10.1631/fitee.1601885 · 2017 · External reference
Artificial intelligence in engineering
10.1016/s0890-6955(98)00076-5 · 1999 · External reference
10.31256/wp2017.1
10.31256/wp2017.1 · External reference
Artificial intelligence and communication: A Human-Machine Communication research agenda
10.1177/1461444819858691 · 2019 · External reference
10.5772/61964
10.5772/61964 · External reference
Changing Technologies of RNA Sequencing and Their Applications in Clinical Oncology
10.3389/fonc.2020.00447 · 2020 · External reference
10.1001/jamanetworkopen.2019.13968
10.1001/jamanetworkopen.2019.13968 · External reference
10.4172/0974-8369.1000395
10.4172/0974-8369.1000395 · External reference
10.1186/1471-2164-13-341
10.1186/1471-2164-13-341 · External reference
Overview of Next-generation Sequencing Platforms Used in Published Draft Plant Genomes in Light of Genotypization of Immortelle Plant (Helichrysium Arenarium)
10.5455/medarh.2017.71.288-292 · 2017 · External reference
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10.1200/jco.2020.38.15_suppl.3538
10.1200/jco.2020.38.15_suppl.3538 · External reference
Unresolved reference
2019 · External reference
Toward a Literature-Driven Definition of Big Data in Healthcare
10.1155/2015/639021 · 2015 · External reference
10.3390/ijms18020412
10.3390/ijms18020412 · External reference
10.1016/j.artmed.2016.05.005
10.1016/j.artmed.2016.05.005 · External reference
Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery
10.1155/2019/8427042 · 2019 · External reference
Comparison of Predictive In Silico Tools on Missense Variants in GJB2, GJB6, and GJB3 Genes Associated with Autosomal Recessive Deafness 1A (DFNB1A)
10.1155/2019/5198931 · 2019 · External reference
10.1007/s00439-019-01970-5
10.1007/s00439-019-01970-5 · External reference
Computational Tools for Splicing Defect Prediction in Breast/Ovarian Cancer Genes: How Efficient Are They at Predicting RNA Alterations?
10.3389/fgene.2018.00366 · 2018 · External reference
10.1016/j.ygyno.2018.10.002
10.1016/j.ygyno.2018.10.002 · External reference
10.1200/jco.2006.08.2644
10.1200/jco.2006.08.2644 · External reference
10.1016/j.molonc.2012.01.010
10.1016/j.molonc.2012.01.010 · External reference
10.1016/j.semcancer.2017.08.010
10.1016/j.semcancer.2017.08.010 · External reference
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10.1016/j.cell.2018.03.042
10.1016/j.cell.2018.03.042 · External reference
Splicing and cancer: Challenges and opportunities
10.1002/wrna.1527 · 2019 · External reference
10.1038/s41591-019-0729-3
10.1038/s41591-019-0729-3 · External reference
10.1016/j.yexmp.2018.03.006
10.1016/j.yexmp.2018.03.006 · External reference
10.1186/s13073-020-00735-4
10.1186/s13073-020-00735-4 · External reference
10.1158/1078-0432.ccr-17-0675
10.1158/1078-0432.ccr-17-0675 · External reference
Artificial Intelligence in medical imaging practice: looking to the future
10.1002/jmrs.369 · 2019 · External reference
Artificialintelligenceinmedicalimaging
2020 · External reference
10.1007/978-3-319-94878-2
10.1007/978-3-319-94878-2 · External reference
“Multidisciplinary team management in thoracic oncology: more than just a concept?,” (in eng)
10.1183/09031936.00150813 · 2014 · External reference
10.1001/jamanetworkopen.2019.1095
10.1001/jamanetworkopen.2019.1095 · External reference
“Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests,” (in eng)
2019 · External reference
Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System
10.1148/radiol.2018181371 · 2019 · External reference
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Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers
10.1371/journal.pone.0185032 · 2017 · External reference
10.1038/nature21056
10.1038/nature21056 · External reference
10.1016/j.biopha.2020.110255
10.1016/j.biopha.2020.110255 · External reference
Digital pathology and artificial intelligence
10.1016/s1470-2045(19)30154-8 · 2019 · External reference
10.1038/s41571-019-0252-y
10.1038/s41571-019-0252-y · External reference
Translational AI and Deep Learning in Diagnostic Pathology
10.3389/fmed.2019.00185 · 2019 · External reference
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10.1186/s13000-019-0921-2
10.1186/s13000-019-0921-2 · External reference
Diagnostic oncology: role of the pathologist in surgical oncology–a review article
2009 · External reference
10.1016/j.breast.2019.12.007
10.1016/j.breast.2019.12.007 · External reference
10.1002/path.5331
10.1002/path.5331 · External reference
Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association
10.4103/jpi.jpi_82_18 · 2019 · External reference
10.5858/arpa.2018-0343-ra
10.5858/arpa.2018-0343-ra · External reference
10.1109/tmi.2017.2677499
10.1109/tmi.2017.2677499 · External reference
10.1109/rbme.2016.2515127
10.1109/rbme.2016.2515127 · External reference
Pathological image compression for big data image analysis: Application to hotspot detection in breast cancer
10.1016/j.artmed.2018.09.002 · 2019 · External reference
Automated staging of T1 bladder cancer using digital pathologic H&E images: a deep learning approach
2018 · External reference
Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning
10.1371/journal.pone.0195621 · 2018 · External reference
Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study)
10.1097/pas.0000000000000948 · 2018 · External reference
Validation of a whole slide imaging system for primary diagnosis in surgical pathology: A community hospital experience
10.4103/2153-3539.145731 · 2014 · External reference
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations
10.1007/s11548-017-1627-0 · 2017 · External reference
A validation study of whole slide imaging for primary diagnosis of lymphoma
10.1111/pin.12808 · 2019 · External reference
Artificial intelligence—the third revolution in pathology
10.1111/his.13760 · 2019 · External reference
International telepathology consultation: Three years of experience between the University of Pittsburgh Medical Center and KingMed Diagnostics in China
10.4103/2153-3539.170650 · 2015 · External reference
Similar image search for histopathology: SMILY
10.1038/s41746-019-0131-z · 2019 · External reference
Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists
10.5858/arpa.2018-0147-oa · 2019 · External reference
US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised
10.5858/arpa.2017-0496-cp · 2018 · External reference
Validation of whole slide imaging for primary diagnosis in surgical pathology
10.5858/arpa.2011-0678-oa · 2013 · External reference
10.1126/scitranslmed.3002564
10.1126/scitranslmed.3002564 · External reference
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
10.1038/s41746-019-0112-2 · 2019 · External reference
Tracking plasma DNA mutation dynamics in estrogen receptor positive metastatic breast cancer with dPCR-SEQ
10.1038/s41523-018-0093-3 · 2018 · External reference
10.1038/s41572-019-0111-2
10.1038/s41572-019-0111-2 · External reference
10.1038/s41416-018-0345-x
10.1038/s41416-018-0345-x · External reference
ESR1 Mutations Are Not a Common Mechanism of Endocrine Resistance in Patients With Estrogen Receptor-Positive Breast Cancer Treated With Neoadjuvant Aromatase Inhibitor Therapy
10.3389/fonc.2020.00342 · 2020 · External reference
10.1016/j.bbcan.2019.188315
10.1016/j.bbcan.2019.188315 · External reference
Neoadjuvant chemotherapy in advanced ovarian cancer: latest results and place in therapy
10.1177/1758834014544891 · 2014 · External reference
10.1177/1179299x19860815
10.1177/1179299x19860815 · External reference
New strategy for overcoming resistance to chemotherapy of ovarian cancer
2013 · External reference
Resistance to chemotherapy in advanced ovarian cancer: mechanisms and current strategies
10.1038/sj.bjc.6601497 · 2003 · External reference
10.1016/j.canlet.2018.04.029
10.1016/j.canlet.2018.04.029 · External reference
“Aberrant RNA Splicing in Cancer and Drug Resistance,” (in eng)
10.3390/cancers10110458 · 2018 · External reference
10.1038/ncponc1179
10.1038/ncponc1179 · External reference
10.3390/cancers11010119
10.3390/cancers11010119 · External reference
Integrative Clinical Sequencing in the Management of Refractory or Relapsed Cancer in Youth
10.1001/jama.2015.10080 · 2015 · External reference
10.1038/nature23306
10.1038/nature23306 · External reference
10.1093/annonc/mdx781
10.1093/annonc/mdx781 · External reference
10.2196/14122
10.2196/14122 · External reference
Concordance of Treatment Recommendations for Metastatic Non-Small-Cell Lung Cancer Between Watson for Oncology System and Medical Team
10.2147/cmar.s244932 · 2020 · External reference
Laser Capture Microdissection and RNA-Seq Analysis: High Sensitivity Approaches to Explain Histopathological Heterogeneity in Human Glioblastoma FFPE Archived Tissues
10.3389/fonc.2019.00482 · 2019 · External reference
10.1038/srep01689
10.1038/srep01689 · External reference
10.1016/j.clinbiochem.2004.05.015
10.1016/j.clinbiochem.2004.05.015 · External reference
10.1038/nrg.2016.49
10.1038/nrg.2016.49 · External reference
10.4103/jfmpc.jfmpc_440_19
10.4103/jfmpc.jfmpc_440_19 · External reference
Using electronic medical record data to report laboratory adverse events
10.1111/bjh.14538 · 2017 · External reference
Comprehensive genomic variation profiling of cervical intraepithelial neoplasia and cervical cancer identifies potential targets for cervical cancer early warning
10.1136/jmedgenet-2018-105745 · 2019 · External reference
Short read (next-generation) sequencing: a tutorial with cardiomyopathy diagnostics as an exemplar
10.1161/circgenetics.113.000085 · 2013 · External reference
10.1186/s12885-015-1913-6
10.1186/s12885-015-1913-6 · External reference
Targeted Next-Generation Sequencing in Men with Metastatic Prostate Cancer: a Pilot Study
10.1007/s11523-018-0576-z · 2018 · External reference
10.1136/esmoopen-2019-000525
10.1136/esmoopen-2019-000525 · External reference
Clinical application of targeted next-generation sequencing for colorectal cancer patients: a multicentric Belgian experience
10.18632/oncotarget.25099 · 2018 · External reference
Analysis of a gene panel for targeted sequencing of colorectal cancer samples
10.18632/oncotarget.24138 · 2018 · External reference
10.3390/cancers11091229
10.3390/cancers11091229 · External reference
Molecular characterization of lung adenocarcinoma from Korean patients using next generation sequencing
10.1371/journal.pone.0224379 · 2019 · External reference
“Applications and analysis of targeted genomic sequencing in cancer studies,” Comput Struct
2019 · External reference
10.4103/jpi.jpi_53_18
10.4103/jpi.jpi_53_18 · External reference
10.1186/s12916-019-1426-2
10.1186/s12916-019-1426-2 · External reference
Ethical Dimensions of Using Artificial Intelligence in Health Care
10.1001/amajethics.2019.121 · 2019 · External reference
