Surveillance

Automated deep-neural-network surveillance of cranial images for acute neurologic events.

Rapid diagnosis and treatment of acute neurological illnesses such as stroke, hemorrhage, and hydroc...

Mining heterogeneous networks with topological features constructed from patient-contributed content for pharmacovigilance.

Drug safety, also called pharmacovigilance, represents a serious health problem all over the world. ...

Predicting Infectious Disease Using Deep Learning and Big Data.

Infectious disease occurs when a person is infected by a pathogen from another person or an animal. ...

Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

INTRODUCTION: Natural language processing, a computer science technique that allows interpretation o...

Utilizing Big Data in Cancer Care.

Clinical research has boomed over the past decade, with the development of multiple clinical dataset...

Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.

The safety of medication use has been a priority in the United States since the late 1930s. Recently...

Re: The Impact of Implementation of the European Association of Urology Guidelines Panel Recommendations on Reporting and Grading Complications on Perioperative outcomes after Robot-assisted Radical Prostatectomy.

Re: Giorgio Gandaglia, Carlo Andrea Bravi, Paolo Dell'Oglio, et al. The Impact of Implementation of the European Association of Urology Guidelines Panel Recommendations on Reporting and Grading Complications on Perioperative Outcomes after Robot-assisted Radical Prostatectomy. Eur Urol 2018;74:4-7.

Reply to Riccardo Bertolo's Letter to the Editor re: Giorgio Gandaglia, Carlo Andrea Bravi, Paolo Dell'Oglio, et al. The Impact of Implementation of the European Association of Urology Guidelines Panel Recommendations on Reporting and Grading Complications on Perioperative Outcomes after Robot-assisted Radical Prostatectomy. Eur Urol 2018;74:4-7.

A machine learning method to monitor China's AIDS epidemics with data from Baidu trends.

BACKGROUND: AIDS is a worrying public health issue in China and lacks timely and effective surveilla...

Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GP...

Acute pain intensity monitoring with the classification of multiple physiological parameters.

Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which ...

UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring.

Recent advances in unmanned aerial system (UAS) sensed imagery, sensor quality/size, and geospatial ...

The past, present and future role of artificial intelligence in imaging.

Artificial intelligence (AI) is already widely employed in various medical roles, and ongoing techno...

Automatic classification of radiological reports for clinical care.

Radiological reporting generates a large amount of free-text clinical narratives, a potentially valu...

A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

Statistical methods are usually applied in examining diet-disease associations, whereas factor analy...

Sarcopenia: Beyond Muscle Atrophy and into the New Frontiers of Opportunistic Imaging, Precision Medicine, and Machine Learning.

As populations continue to age worldwide, the impact of sarcopenia on public health will continue to...

Structured radiology reporting on an institutional level-benefit or new administrative burden?

Significant technical advances have been made in radiology since the first discovery of X-rays. Diag...

Machine learning identifies signatures of host adaptation in the bacterial pathogen Salmonella enterica.

Emerging pathogens are a major threat to public health, however understanding how pathogens adapt to...

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data...

Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology.

Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innova...