Patient safety / Risk Management

Disclosure of Artificial Intelligence/ChatGPT-Generated Manuscripts.

[Fostering Pharmacists to Succeed in a Drastically Changing Society].

In 2006, Japan's pharmaceutical science education was revised to a 6-year enrollment course, placing greater emphasis on cultivating practical clinical ability. Quality Assurance (QA) measures have been implemented including offering education based on a model core curriculum and third-party assessments. In August 2021, Ministry of Education, Culture, Sports, Science and Technology (MEXT) launched...

Surveys Aimed at General Citizens of the US and Japan About Their Attitudes Toward Electronic Medical Data Handling - 10 Years Change, Before and After Covid-19.

OBJECTIVES: To clarify the views of the general population of two countries (US and Japan), concerning handling of their medical records electronicall...

Machine Learning Methods in Health Economics and Outcomes Research-The PALISADE Checklist: A Good Practices Report of an ISPOR Task Force.

Advances in machine learning (ML) and artificial intelligence offer tremendous potential benefits to patients. Predictive analytics using ML are alrea...

Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review.

Skin cancers occur commonly worldwide. The prognosis and disease burden are highly dependent on the cancer type and disease stage at diagnosis. We sys...

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group.

IMPORTANCE: The use of artificial intelligence (AI) is accelerating in all aspects of medicine and has the potential to transform clinical care and de...

Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare.

High-quality research is essential in guiding evidence-based care, and should be reported in a way that is reproducible, transparent and where appropr...

Clinician checklist for assessing suitability of machine learning applications in healthcare.

Machine learning algorithms are being used to screen and diagnose disease, prognosticate and predict therapeutic responses. Hundreds of new algorithms...

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI) in medicine to improve diagnosis and save costs, ...

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.

ECG Biometric Recognition: Template-Free Approaches Based on Deep Learning.

Biometric technologies offer much convenience over the conventional approaches to identity recognition, but security and privacy concerns also accompa...

A Machine Learning Strategy for Autism Screening in Toddlers.

OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and intervention, but lack of time and training can dete...

Combining Natural Language Processing of Electronic Medical Notes With Administrative Data to Determine Racial/Ethnic Differences in the Disclosure and Documentation of Military Sexual Trauma in Veterans.

BACKGROUND: Despite national screening efforts, military sexual trauma (MST) is underreported. Little is known of racial/ethnic differences in MST rep...

Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.

This review critically analyzes how machine learning is being used to support clinical decision-making in the management of potentially resectable pan...

Can a Robot Bring Your Life Back? A Systematic Review for Robotics in Rehabilitation.

Stroke is a leading cause of disability in the world and the use of robots in rehabilitation has become increasingly common. The Fourth Industrial Rev...

A checklist to protect human rights in artificial-intelligence research.

Using a Checklist in Robotic-Assisted Laparoscopic Radical Prostatectomy Procedures.

Robotic surgical systems are relatively new in New Zealand and have been used mainly for laparoscopic radical prostatectomy. Checklists are successful...

Developing a procedural checklist for robotic-assisted prostatectomy.

Prompting physicians to address a daily checklist for antibiotics: do we need a co-pilot in the ICU?

PURPOSE OF REVIEW: Failed opportunities to reduce morbidity and mortality occur when evidence-based therapies are not fully implemented in clinical pr...