Health Policy

Effectiveness of a Deep-learning Polyp Detection System in Prospectively Collected Colonoscopy Videos With Variable Bowel Preparation Quality.

BACKGROUND: Colonoscopy is the gold standard for polyp detection, but polyps may be missed. Artifici...

Urgent Need for Developing a Framework for the Governance of AI in Healthcare.

Lately, the application or integration of Artificial Intelligence in various areas of the Healthcare...

Social Robots for Elderly Care: An Inventory of Promising Use Cases and Business Models.

This paper discusses a study that aimed to elicit promising application areas and potential business...

The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information.

Traditionally, health data management has been EMR-based and mostly handled by health care providers...

Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies.

The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. Howeve...

Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance.

BACKGROUND: Recent advances in machine and deep learning based on an increased availability of clini...

Forecasting beef production and quality using large-scale integrated data from Brazil.

With agriculture rapidly becoming a data-driven field, it is imperative to extract useful informatio...

Machine Learning and Medical Appointment Scheduling: Creating and Perpetuating Inequalities in Access to Health Care.

[Potential of methods of artificial intelligence for quality assurance].

BACKGROUND: Procedures with artificial intelligence (AI), such as deep neural networks, show promisi...

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care.

Big data for health care is one of the potential solutions to deal with the numerous challenges of h...

Follow-Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under-Reporting in Oncology Trials?

[Research and application of orthotopic DR chest radiograph quality control system based on artificial intelligence].

With the change of medical diagnosis and treatment mode, the quality of medical image directly affec...

[Artificial intelligence in Danish healthcare].

Artificial intelligence (AI) and machine learning have become important in medicine as shown in this...

Superoxide Dismutase in Extender Improves the in vitro Quality and in vivo Fertility of Cryopreserved Water Buffalo (Bubalus bubalis) Spermatozoa.

BACKGROUND: Superoxide dismutase (SOD) as an antioxidant in semen extender may be used for the cryop...

Alpha-tocopheryl Succinate in Extender Improves the Post Thaw Quality of Water Buffalo Spermatozoa.

BACKGROUND: Alpha-tocopheryl succinate, a major chain-splitting antioxidant, is the most effective f...

On stethoscopes, patient records, artificial intelligence, and zettabytes: A glimpse into the future of digital medicine in Mexico.

Science and technology are modifying medicine at a dizzying pace. Although access in our country to ...

Big Data in Ophthalmology.

Big data is the fuel of mankind's fourth industrial revolution. Coupled with new technology such as ...

On stethoscopes, patient records, artificial intelligence and zettabytes: a glimpse into the future of digital medicine in Mexico.

Science and technology are modifying medicine at a dizzying pace. Although access in our country to ...

Editorial Comment: Does YouTube include high-quality resources for training on laparoscopic and robotic radical prostatectomy?

The Ethics of Medical AI and the Physician-Patient Relationship.

This article considers recent ethical topics relating to medical AI. After a general discussion of r...

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data.

Word embeddings are a popular approach to unsupervised learning of word relationships that are widel...