Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging

Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine

(2021) Mark Henderson Arnold   Journal of Bioethical Inquiry

A novel framework for rapid diagnosis of COVID-19 on computed tomography scans

(2021) Tallha Akram et al.   PATTERN ANALYSIS AND APPLICATIONS

Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning

(2021) Yuming Jiang et al.   JAMA Network Open

Data augmentation based malware detection using convolutional neural networks

(2021) Ferhat Ozgur Catak et al.   PeerJ Computer Science

Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial

(2021) Jussi Tohka et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations

(2021) Sarah E. Hickman et al.   BRITISH JOURNAL OF CANCER

Interventional Radiology ex-machina: impact of Artificial Intelligence on practice

(2021) Martina Gurgitano et al.   Radiologia Medica

CT based radiomic approach on first line pembrolizumab in lung cancer

(2021) Marta Zerunian et al.   Scientific Reports

Few-Shot Learning with a Novel Voronoi Tessellation-Based Image Augmentation Method for Facial Palsy Detection

(2021) Olusola Oluwakemi Abayomi-Alli et al.   Electronics

A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness

(2021) Xiaoyi Zhou et al.   Electronics

Cyber-attack method and perpetrator prediction using machine learning algorithms

(2021) Abdulkadir Bilen et al.   PeerJ Computer Science

Effects of a Differential Diagnosis List of Artificial Intelligence on Differential Diagnoses by Physicians: An Exploratory Analysis of Data from a Randomized Controlled Study

(2021) Yukinori Harada et al.   International Journal of Environmental Research and Public Health

Radiomics: from qualitative to quantitative imaging

(2020) William Rogers et al.   BRITISH JOURNAL OF RADIOLOGY

Artificial Intelligence and Orthopaedics

(2020) Thomas G. Myers et al.   JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME

Artificial intelligence: Who is responsible for the diagnosis?

(2020) Emanuele Neri et al.   Radiologia Medica

Using artificial intelligence to analyse and teach communication in healthcare

(2020) Phyllis Butow et al.   BREAST

Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning

(2020) Mostafa Nazari et al.   Radiologia Medica

CT-based radiomics for preoperative prediction of early recurrent hepatocellular carcinoma: technical reproducibility of acquisition and scanners

(2020) Hang-tong Hu et al.   Radiologia Medica

Artificial intelligence: radiologists’ expectations and opinions gleaned from a nationwide online survey

(2020) Francesca Coppola et al.   Radiologia Medica

Artificial intelligence to codify lung CT in Covid-19 patients

(2020) Maria Paola Belfiore et al.   Radiologia Medica

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

Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening

(2020) Caroline A. Nelson et al.   JAMA Dermatology

A “Third Wheel” Effect in Health Decision Making Involving Artificial Entities: A Psychological Perspective

(2020) Stefano Triberti et al.   Frontiers in Public Health

The potential application of artificial intelligence for diagnosis and management of glaucoma in adults

(2020) Cara G Campbell et al.   BRITISH MEDICAL BULLETIN

Latent bias and the implementation of artificial intelligence in medicine

(2020) Matthew DeCamp et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The advent of medical artificial intelligence: lessons from the Japanese approach

(2020) Euma Ishii et al.   Journal of Intensive Care

When Does Physician Use of AI Increase Liability?

(2020) Kevin Tobia et al.   JOURNAL OF NUCLEAR MEDICINE

Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis

(2020) Cappabianca Salvatore et al.   Radiologia Medica

Artificial intelligence in cardiac radiology

(2020) Marly van Assen et al.   Radiologia Medica

Artificial Intelligence-Driven Oncology Clinical Decision Support System for Multidisciplinary Teams

(2020) Kyounga Lee et al.   SENSORS

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

(2020) Stephanie A. Harmon et al.   Nature Communications

Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team

(2020) T. Martín-Noguerol et al.   CLINICAL RADIOLOGY

Deep Learning Based Evaluation of Spermatozoid Motility for Artificial Insemination

(2020) Viktorija Valiuškaitė et al.   SENSORS

Artificial intelligence for the detection of vertebral fractures on plain spinal radiography

(2020) Kazuma Murata et al.   Scientific Reports

Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer

(2019) Hamid Abdollahi et al.   Radiologia Medica

Adversarial attacks on medical machine learning

(2019) Samuel G. Finlayson et al.   SCIENCE

Artificial intelligence: a challenge for third millennium radiologist

(2019) Roberto Grassi et al.   Radiologia Medica

Medical ethics considerations on artificial intelligence

(2019) Kadircan H. Keskinbora   JOURNAL OF CLINICAL NEUROSCIENCE

Artificial intelligence in cancer imaging: Clinical challenges and applications

(2019) Wenya Linda Bi et al.   CA-A CANCER JOURNAL FOR CLINICIANS

Impact of the rise of artificial intelligence in radiology: What do radiologists think?

(2019) Q. Waymel et al.   Diagnostic and Interventional Imaging

Radiology and patient communication: if not now, then when?

(2019) Julie Cox et al.   EUROPEAN RADIOLOGY

Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement

(2019) Ji Eun Park et al.   EUROPEAN RADIOLOGY

Artificial intelligence in radiology: the ecosystem essential to improving patient care

(2019) Julie Sogani et al.   CLINICAL IMAGING

Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives

(2019) Krzysztof J. Geras et al.   RADIOLOGY

HEMIGEN: Human Embryo Image Generator Based on Generative Adversarial Networks

(2019) Dirvanauskas et al.   SENSORS

Artificial Intelligence in Imaging: The Radiologist’s Role

(2019) Daniel L. Rubin   Journal of the American College of Radiology

Key challenges for delivering clinical impact with artificial intelligence

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

Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline – Update 2019

(2019) Raf Bisschops et al.   ENDOSCOPY

Potential Liability for Physicians Using Artificial Intelligence

(2019) W. Nicholson Price et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

AI-augmented multidisciplinary teams: hype or hope?

(2019) Antonio Di Ieva   LANCET

Promises and Perils of Artificial Intelligence in Neurosurgery

(2019) Sandip S Panesar et al.   NEUROSURGERY

Attitudes toward artificial intelligence in radiology with learner needs assessment within radiology residency programmes: a national multi-programme survey

(2019) SKG Ooi et al.   SINGAPORE MEDICAL JOURNAL

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

(2019) J. Raymond Geis et al.   Journal of the American College of Radiology

The impact of artificial intelligence in medicine on the future role of the physician

(2019) Abhimanyu S. Ahuja   PeerJ

A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over

(2019) Jasper van Hoek et al.   EUROPEAN JOURNAL OF RADIOLOGY

Toward Augmented Radiologists

(2018) Shahein H. Tajmir et al.   ACADEMIC RADIOLOGY

Will artificial intelligence solve the human resource crisis in healthcare?

(2018) Bertalan Meskó et al.   BMC HEALTH SERVICES RESEARCH

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

The rise of artificial intelligence and the uncertain future for physicians

(2018) C. Krittanawong   European Journal of Internal Medicine

Current Applications and Future Impact of Machine Learning in Radiology

(2018) Garry Choy et al.   RADIOLOGY

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

(2018) Tim Lustberg et al.   RADIOTHERAPY AND ONCOLOGY

Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine

(2018) Irena Sniecinski et al.   TRANSFUSION AND APHERESIS SCIENCE

Artificial Intelligence and Machine Learning: Opportunities for Radiologists in Training

(2018) Gerard K. Nguyen et al.   Journal of the American College of Radiology

Ethics, Artificial Intelligence, and Radiology

(2018) Marc Kohli et al.   Journal of the American College of Radiology

Demystification of AI-driven medical image interpretation: past, present and future

(2018) Peter Savadjiev et al.   EUROPEAN RADIOLOGY

Image reconstruction by domain-transform manifold learning

(2018) Bo Zhu et al.   NATURE

Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration

(2018) Slava Jankin Mikhaylov et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: A National Survey Study

(2018) Bo Gong et al.   ACADEMIC RADIOLOGY

Machine Learning in Neurooncology Imaging: From Study Request to Diagnosis and Treatment

(2018) Javier E. Villanueva-Meyer et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

How Cognitive Machines Can Augment Medical Imaging

(2018) D. Douglas Miller et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

(2018) Kenneth A. Philbrick et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

(2018) Sandy Napel et al.   CANCER

How will “democratization of artificial intelligence” change the future of radiologists?

(2018) Yasuyuki Kobayashi et al.   JAPANESE JOURNAL OF RADIOLOGY

Artificial intelligence-enabled healthcare delivery

(2018) Sandeep Reddy et al.   JOURNAL OF THE ROYAL SOCIETY OF MEDICINE

Radiogenomics

(2018) Michael D. Story et al.   MEDICAL PHYSICS

Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer

(2018) Shuo Wang et al.   RADIOTHERAPY AND ONCOLOGY

Contrast-enhanced computed tomography image assessment of cervical lymph node metastasis in patients with oral cancer by using a deep learning system of artificial intelligence

(2018) Yoshiko Ariji et al.   Oral Surgery Oral Medicine Oral Pathology Oral Radiology

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

(2018) Pranav Rajpurkar et al.   PLOS MEDICINE

Radiology and artificial intelligence: An opportunity for our specialty

(2018) J.-P. Beregi et al.   Diagnostic and Interventional Imaging

Artificial intelligence in healthcare

(2018) Kun-Hsing Yu et al.   Nature Biomedical Engineering

Artificial Intelligence in Breast Imaging: Potentials and Limitations

(2018) Ellen B. Mendelson   AMERICAN JOURNAL OF ROENTGENOLOGY

Bits and bytes: the future of radiology lies in informatics and information technology

(2017) James A. Brink et al.   EUROPEAN RADIOLOGY

Unintended Consequences of Machine Learning in Medicine

(2017) Federico Cabitza et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Background, current role, and potential applications of radiogenomics

(2017) Katja Pinker et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation

(2017) Shuo Wang et al.   MEDICAL IMAGE ANALYSIS

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

(2017) Tuan Anh Ngo et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Radiomics: the bridge between medical imaging and personalized medicine

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

Deep Learning: A Primer for Radiologists

(2017) Gabriel Chartrand et al.   RADIOGRAPHICS

Breast arterial calcifications on mammography: intra- and inter-observer reproducibility of a semi-automatic quantification tool

(2017) Rubina Manuela Trimboli et al.   Radiologia Medica

Automated breast ultrasound: basic principles and emerging clinical applications

(2017) Martina Zanotel et al.   Radiologia Medica

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Semantics derived automatically from language corpora contain human-like biases

(2017) Aylin Caliskan et al.   SCIENCE

Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach

(2017) Corinne Cath et al.   SCIENCE AND ENGINEERING ETHICS

Machine Learning for Predicting Patient Wait Times and Appointment Delays

(2017) Catherine Curtis et al.   Journal of the American College of Radiology

Artificial Intelligence: Threat or Boon to Radiologists?

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

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR

(2017) Stefano Trebeschi et al.   Scientific Reports

Usage of structured reporting in radiological practice: results from an Italian online survey

(2016) Lorenzo Faggioni et al.   EUROPEAN RADIOLOGY

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

(2016) Michiel Kallenberg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Adapting to Artificial Intelligence

(2016) Saurabh Jha et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue

(2016) Sebastian Porsdam Mann et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Evaluation of tablet ultrasound for routine abdominal interventional procedures

(2016) Anna Maria Ierardi et al.   Radiologia Medica

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Association of multiparametric MRI quantitative imaging features with prostate cancer gene expression in MRI-targeted prostate biopsies

(2016) Radka Stoyanova et al.   Oncotarget

Digital communication between clinician and patient and the impact on marginalised groups: a realist review in general practice

(2015) Caroline J Huxley et al.   BRITISH JOURNAL OF GENERAL PRACTICE

Deep learning

(2015) Yann LeCun et al.   NATURE

IODA: An input/output deep architecture for image labeling

(2015) J. Lerouge et al.   PATTERN RECOGNITION

Virtual anthropology: useful radiological tools for age assessment in clinical forensic medicine and thanatology

(2015) Fabrice Dedouit et al.   Radiologia Medica

Fears of an AI pioneer

(2015) J. Bohannon   SCIENCE

The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts

(2015) Brent Daniel Mittelstadt et al.   SCIENCE AND ENGINEERING ETHICS

JOURNAL CLUB: Structured Radiology Reports Are More Complete and More Effective Than Unstructured Reports

(2014) Peter A. Marcovici et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Privacy-by-design in big data analytics and social mining

(2014) Anna Monreale et al.   EPJ Data Science

The Future of the Radiology Information System

(2013) John W. Nance Jr et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM

Head and Neck Squamous Cell Carcinoma: Diagnostic Performance of Diffusion-weighted MR Imaging for the Prediction of Treatment Response

(2012) Ann D. King et al.   RADIOLOGY

Developing Physician Communication Skills For Patient-Centered Care

(2010) Wendy Levinson et al.   HEALTH AFFAIRS

The Invisible Radiologist

(2010) Gary M. Glazer et al.   RADIOLOGY

Evidence-based radiology: why and how?

(2009) Francesco Sardanelli et al.   EUROPEAN RADIOLOGY