AI Medical Compendium Topic

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Physician-Patient Relations

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Integrating artificial intelligence into haematology training and practice: Opportunities, threats and proposed solutions.

British journal of haematology
There remains a limited emphasis on the use beyond the research domain of artificial intelligence (AI) in haematology and it does not feature significantly in postgraduate medical education and training. This perspective article considers recent deve...

A dataset of simulated patient-physician medical interviews with a focus on respiratory cases.

Scientific data
Artificial Intelligence (AI) is playing a major role in medical education, diagnosis, and outbreak detection through Natural Language Processing (NLP), machine learning models and deep learning tools. However, in order to train AI to facilitate these...

The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review.

Patient education and counseling
OBJECTIVES: While the development of artificial intelligence (AI) and virtual reality (VR) technologies in medicine has been significant, their application to doctor-patient communication is limited. As communicating risk is a challenging, yet essent...

Documentation of Shared Decisionmaking in the Emergency Department.

Annals of emergency medicine
STUDY OBJECTIVE: While patient-centered communication and shared decisionmaking are increasingly recognized as vital aspects of clinical practice, little is known about their characteristics in real-world emergency department (ED) settings. We constr...

Intentional machines: A defence of trust in medical artificial intelligence.

Bioethics
Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor-patient relationships, trust is therefore regularly suggested as a way of d...

Artificial Intelligence Will (MAY) Make Doctors Expendable (IN GOOD WAYS): Pro.

European urology focus
The field of artificial intelligence continues to advance rapidly. Improvements in both patient outcomes and the patient-doctor relationship may occur if physicians embrace this technology.

How Can Reasoned Transparency Enhance Co-Creation in Healthcare and Remedy the Pitfalls of Digitization in Doctor-Patient Relationships?

International journal of health policy and management
This article addresses transparency in the current era of digital co-creation between healthcare professionals and patients. The concept of reasoned transparency is presented as a potential tool to guide the development of digital co-creation that is...

Trust in artificial intelligence for medical diagnoses.

Progress in brain research
We present two online experiments investigating trust in artificial intelligence (AI) as a primary and secondary medical diagnosis tool and one experiment testing two methods to increase trust in AI. Participants in Experiment 1 read hypothetical sce...

Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial.

Contemporary clinical trials
INTRODUCTION: Patients with cancer often receive care that is not aligned with their personal values and goals. Serious illness conversations (SICs) between clinicians and patients can help increase a patient's understanding of their prognosis, goals...

Representing Communication, Compassion, and Competence in the Era of AI.

AMA journal of ethics
Artificial intelligence (AI) is now integrated into a variety of fields, including medicine. AI applications raise numerous ethical questions, particularly about quality of care and patient-clinician relationships. This article accompanies 2 digital ...