Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

Towards reproducible computational drug discovery

(2020) Nalini Schaduangrat et al.   Journal of Cheminformatics

Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies

(2020) Karoline Freeman et al.   BMJ-British Medical Journal

The retina revolution

(2020) Edward H. Wood et al.   CURRENT OPINION IN OPHTHALMOLOGY

Industry-scale application and evaluation of deep learning for drug target prediction

(2020) Noé Sturm et al.   Journal of Cheminformatics

Changing Technologies of RNA Sequencing and Their Applications in Clinical Oncology

(2020) Ye Wang et al.   Frontiers in Oncology

Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology

(2020) Sandip Kumar Patel et al.   Frontiers in Pharmacology

Identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning

(2020) Lamin Juwara et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Precision oncology

(2020) Richard Hodson   NATURE

Artificial intelligence, bias and clinical safety

(2019) Robert Challen et al.   BMJ Quality & Safety

Predicting factors for survival of breast cancer patients using machine learning techniques

(2019) Mogana Darshini Ganggayah et al.   BMC Medical Informatics and Decision Making

NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer

(2019) Irantzu Anzar et al.   BMC Medical Genomics

Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy

(2019) Amelia Fiske et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Big data and machine learning algorithms for health-care delivery

(2019) Kee Yuan Ngiam et al.   LANCET ONCOLOGY

Impact of Artificial Intelligence on Interventional Cardiology

(2019) Partha Sardar et al.   JACC-Cardiovascular Interventions

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

(2019) Nathan Wan et al.   BMC CANCER

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

(2019) Kaustav Bera et al.   Nature Reviews Clinical Oncology

Application of Computational Biology and Artificial Intelligence Technologies in Cancer Precision Drug Discovery

(2019) Nagasundaram Nagarajan et al.   Biomed Research International

Artificial Intelligence in Surgery

(2018) Daniel A. Hashimoto et al.   ANNALS OF SURGERY

Cardiac Computed Tomography Radiomics

(2018) Márton Kolossváry et al.   JOURNAL OF THORACIC IMAGING

High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision

(2018) Manisha Bahl et al.   RADIOLOGY

Margaret McCartney: AI in medicine must be rigorously tested

(2018) Margaret McCartney   BMJ-British Medical Journal

Margaret McCartney: AI in medicine must be rigorously tested

(2018) Margaret McCartney   BMJ-British Medical Journal

RankProd Combined with Genetic Algorithm Optimized Artificial Neural Network Establishes a Diagnostic and Prognostic Prediction Model that Revealed C1QTNF3 as a Biomarker for Prostate Cancer

(2018) Qi Hou et al.   EBioMedicine

Impact of experimental design on PET radiomics in predicting somatic mutation status

(2017) Stephen S.F. Yip et al.   EUROPEAN JOURNAL OF RADIOLOGY

Predicting Long-Term Cognitive Outcome Following Breast Cancer with Pre-Treatment Resting State fMRI and Random Forest Machine Learning

(2017) Shelli R. Kesler et al.   Frontiers in Human Neuroscience

Artificial intelligence in medicine

(2017) Pavel Hamet et al.   METABOLISM-CLINICAL AND EXPERIMENTAL

Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients

(2017) Ahmet Zehir et al.   NATURE MEDICINE

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Automating drug discovery

(2017) Gisbert Schneider   NATURE REVIEWS DRUG DISCOVERY

Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

(2017) Jonathan H. Chen et al.   NEW ENGLAND JOURNAL OF MEDICINE

ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics

(2017) Jiangming Sun et al.   Journal of Cheminformatics

Artificial Intelligence: Threat or Boon to Radiologists?

(2017) Michael Recht et al.   Journal of the American College of Radiology

Artificial intelligence in healthcare: past, present and future

(2017) Fei Jiang et al.   JOURNAL OF INVESTIGATIVE MEDICINE

Machine learning models in breast cancer survival prediction

(2016) Mitra Montazeri et al.   TECHNOLOGY AND HEALTH CARE

Predicting protein complexes from weighted protein–protein interaction graphs with a novel unsupervised methodology: Evolutionary enhanced Markov clustering

(2015) Konstantinos Theofilatos et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep learning

(2015) Yann LeCun et al.   NATURE

EnsembleGASVR: a novel ensemble method for classifying missense single nucleotide polymorphisms

(2014) Trisevgeni Rapakoulia et al.   BIOINFORMATICS

Application of Surgical Safety Standards to Robotic Surgery: Five Principles of Ethics for Nonmaleficence

(2013) Jeffrey A. Larson et al.   JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS

Is single reading with computer-aided detection (CAD) as good as double reading in mammography screening? A systematic review

(2012) Edward Azavedo et al.   BMC MEDICAL IMAGING