AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

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Revolutionizing clinical trials: the role of AI in accelerating medical breakthroughs.

International journal of surgery (London, England)
Clinical trials are the essential assessment for safe, reliable, and effective drug development. Data-related limitations, extensive manual efforts, remote patient monitoring, and the complexity of traditional clinical trials on patients drive the ap...

ARTIFICIAL INTELLIGENCE: CREATING NEW PARADIGMS IN THE MANAGEMENT OF NON-COMMUNICABLE DISEASES.

Georgian medical news
The role of Artificial Intelligence (AI) in medical science is growing immensely. Since AI contains features that can address both preventive and therapeutic aspects of non-communicable diseases (NCDs), it can potentially lessen the massive burden of...

Using Natural Language Processing to Predict Risk in Electronic Health Records.

Studies in health technology and informatics
Clinical narratives recording behaviours and emotions of patients are available from EHRs in a forensic psychiatric centre located in Tasmania. This rich data has not been used in risk prediction. Prior work demonstrates natural language processing c...

Making Digital Health Equitable.

Studies in health technology and informatics
Most agree that the current healthcare system is broken. Fortunately, technology is increasing at an exponential rate and provides a solution for the future. Digital Health is an integrator concept that has the potential to take advantage of technolo...

Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture.

BMC medical informatics and decision making
Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the balance between overdiagnosis and early detec...

Towards federated transfer learning in electrocardiogram signal analysis.

Computers in biology and medicine
Modern methods in artificial intelligence perform very well on many healthcare datasets, at times outperforming trained doctors. However, many assumptions made in model training are not justifiable in clinical settings. In this work, we propose a met...

Federated clustered multi-domain learning for health monitoring.

Scientific reports
Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient car...

Multichannel high noise level ECG denoising based on adversarial deep learning.

Scientific reports
This paper proposes a denoising method based on an adversarial deep learning approach for the post-processing of multi-channel fetal electrocardiogram (ECG) signals. As it's well known, noise leads to misinterpretations of fetal ECG signals and thus ...

Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.

Advances in health care management
Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new t...