Artificial intelligence for clinical oncology

Immune checkpoint blockade in combination with stereotactic body radiotherapy in patients with metastatic pancreatic ductal adenocarcinoma

(2020) Changqing Xie et al.   CLINICAL CANCER RESEARCH

Challenges to the Reproducibility of Machine Learning Models in Health Care

(2020) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

(2020) Myura Nagendran et al.   BMJ-British Medical Journal

Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations

(2020) Chang Ming et al.   BRITISH JOURNAL OF CANCER

Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer

(2020) Dejun Zhou et al.   Nature Communications

Improving the accuracy of medical diagnosis with causal machine learning

(2020) Jonathan G. Richens et al.   Nature Communications

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

(2020) Kunal Nagpal et al.   JAMA Oncology

Development and Validation of a Deep Learning Model for Non–Small Cell Lung Cancer Survival

(2020) Yunlang She et al.   JAMA Network Open

System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT): A Prospective Randomized Study of Machine Learning–Directed Clinical Evaluations During Radiation and Chemoradiation

(2020) Julian C. Hong et al.   JOURNAL OF CLINICAL ONCOLOGY

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

(2020) Beau Norgeot et al.   NATURE MEDICINE

Deep learning to estimate RECIST in patients with NSCLC treated with PD-1 blockade

(2020) Kathryn C. Arbour et al.   Cancer Discovery

Closing the Gap Between Machine Learning and Clinical Cancer Care—First Steps Into a Larger World

(2020) John Kang et al.   JAMA Oncology

Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer

(2020) Christopher R. Manz et al.   JAMA Oncology

External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms

(2020) Mattie Salim et al.   JAMA Oncology

A meta-learning approach for genomic survival analysis

(2020) Yeping Lina Qiu et al.   Nature Communications

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

(2020) Ryuji Hamamoto et al.   Cancers

Deep Learning Prediction of Cancer Prevalence from Satellite Imagery

(2020) Jean-Emmanuel Bibault et al.   Cancers

The beginning of the end for conventional RECIST — novel therapies require novel imaging approaches

(2019) Mirjam Gerwing et al.   Nature Reviews Clinical Oncology

Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

(2019) Pu Wang et al.   GUT

Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging

(2019) Yiwen Xu et al.   CLINICAL CANCER RESEARCH

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

(2019) Philipp Kickingereder et al.   LANCET ONCOLOGY

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

Real-time automated diagnosis of precancerous lesion and early esophageal squamous cell carcinoma using a deep learning model (with videos)

(2019) LinJie Guo et al.   GASTROINTESTINAL ENDOSCOPY

Key challenges for delivering clinical impact with artificial intelligence

(2019) Christopher J. Kelly et al.   BMC Medicine

Extension of the CONSORT and SPIRIT statements

(2019) Xiaoxuan Liu et al.   LANCET

Delta-radiomics features during radiotherapy improve the prediction of late xerostomia

(2019) Lisanne V. van Dijk et al.   Scientific Reports

Should Health Care Demand Interpretable Artificial Intelligence or Accept “Black Box” Medicine?

(2019) Fei Wang et al.   ANNALS OF INTERNAL MEDICINE

Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma

(2019) Benjamin H. Kann et al.   JOURNAL OF CLINICAL ONCOLOGY

An investigation of machine learning methods in delta-radiomics feature analysis

(2019) Yushi Chang et al.   PLoS One

Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment

(2019) Patrick Schelb et al.   RADIOLOGY

Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas

(2018) Chia-Feng Lu et al.   CLINICAL CANCER RESEARCH

Does global oncology need artificial intelligence?

(2018) Bishal Gyawali   LANCET ONCOLOGY

Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer

(2018) Joseph A. Sparano et al.   NEW ENGLAND JOURNAL OF MEDICINE

Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?

(2018) Reid F. Thompson et al.   RADIOTHERAPY AND ONCOLOGY

From shallow feature learning to deep learning: Benefits from the width and depth of deep architectures

(2018) Guoqiang Zhong et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study

(2018) Roger Sun et al.   LANCET ONCOLOGY

Questions for Artificial Intelligence in Health Care

(2018) Thomas M. Maddox et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care

(2018) George Simon et al.   ONCOLOGIST

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Individual Patient-Level Meta-Analysis of the Performance of the Decipher Genomic Classifier in High-Risk Men After Prostatectomy to Predict Development of Metastatic Disease

(2017) Daniel E. Spratt et al.   JOURNAL OF CLINICAL ONCOLOGY

Genomic biomarkers for precision radiation medicine – Authors' reply

(2017) Jacob G Scott et al.   LANCET ONCOLOGY

Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Tumour heterogeneity and resistance to cancer therapies

(2017) Ibiayi Dagogo-Jack et al.   Nature Reviews Clinical Oncology

AACR Project GENIE: Powering Precision Medicine through an International Consortium

(2017)   Cancer Discovery

Evaluation of the Feasibility of Screening Patients for Early Signs of Lung Carcinoma in Web Search Logs

(2017) Ryen W. White et al.   JAMA Oncology

Promise of Wearable Physical Activity Monitors in Oncology Practice

(2017) Muhammad S. Beg et al.   Journal of Oncology Practice

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

Do We Need More Training Data?

(2015) Xiangxin Zhu et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Nomograms for Prediction of Outcome With or Without Adjuvant Radiation Therapy for Patients With Endometrial Cancer: A Pooled Analysis of PORTEC-1 and PORTEC-2 Trials

(2015) Carien L. Creutzberg et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Financial Toxicity of Cancer Care: It’s Time to Intervene

(2015) S. Yousuf Zafar   JNCI-Journal of the National Cancer Institute

Deep learning

(2015) Yann LeCun et al.   NATURE

Financial Toxicity of Cancer Care: It’s Time to Intervene

(2015) S. Yousuf Zafar   JNCI-Journal of the National Cancer Institute

A predictive model to identify hospitalized cancer patients at risk for 30-day mortality based on admission criteria via the electronic medical record

(2013) Kavitha J. Ramchandran et al.   CANCER

The Clinical Viewpoint: Definitions, Limitations of RECIST, Practical Considerations of Measurement

(2013) L. C. Villaruz et al.   CLINICAL CANCER RESEARCH

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

The Cancer Genome Atlas Pan-Cancer analysis project

(2013) John N Weinstein et al.   NATURE GENETICS

Discovery and Validation of a Prostate Cancer Genomic Classifier that Predicts Early Metastasis Following Radical Prostatectomy

(2013) Nicholas Erho et al.   PLoS One

Incorporation of Sentinel Lymph Node Metastasis Size Into a Nomogram Predicting Nonsentinel Lymph Node Involvement in Breast Cancer Patients With a Positive Sentinel Lymph Node

(2011) Elizabeth A. Mittendorf et al.   ANNALS OF SURGERY

Heterogeneity in breast cancer

(2011) Kornelia Polyak   JOURNAL OF CLINICAL INVESTIGATION

A unifying view on dataset shift in classification

(2011) Jose G. Moreno-Torres et al.   PATTERN RECOGNITION

Personalized medicine in oncology: the future is now

(2010) Richard L. Schilsky   NATURE REVIEWS DRUG DISCOVERY

Prognostic models for diffuse large B-cell lymphoma in the rituximab era: a never-ending story

(2009) A. Bari et al.   ANNALS OF ONCOLOGY

A Strategy for Health Care Reform — Toward a Value-Based System

(2009) Michael E. Porter   NEW ENGLAND JOURNAL OF MEDICINE