AIMC Topic: Referral and Consultation
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Responsibility, second opinions and peer-disagreement: ethical and epistemological challenges of using AI in clinical diagnostic contexts.
Journal of medical ethics
Dec 14, 2021
In this paper, we first classify different types of second opinions and evaluate the ethical and epistemological implications of providing those in a clinical context. Second, we discuss the issue of how artificial intelligent (AI) could replace the ...
Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.
JAMA network open
Nov 1, 2021
IMPORTANCE: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early detection and intervention can prevent blindness; however, many patients do not receive their recommended annual diabetic eye examinations, primarily owi...
Chatbot breakthrough in the 2020s? An ethical reflection on the trend of automated consultations in health care.
Medicine, health care, and philosophy
Sep 4, 2021
Many experts have emphasised that chatbots are not sufficiently mature to be able to technically diagnose patient conditions or replace the judgements of health professionals. The COVID-19 pandemic, however, has significantly increased the utilisatio...
Ethical impact of suboptimal referrals on delivery of care in radiology department.
Journal of medical ethics
Aug 24, 2021
The referral is the key source of information that enables radiologists and radiographers to provide quality services. However, the frequency of suboptimal referrals is widely reported. This research reviews the literature to illuminate the challenge...
Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records.
JAMA network open
Jul 1, 2021
IMPORTANCE: Physicians are required to work with rapidly growing amounts of medical data. Approximately 62% of time per patient is devoted to reviewing electronic health records (EHRs), with clinical data review being the most time-consuming portion.
Re: Paolo Dell'Oglio, Elio Mazzone, Edward Lambert, et al. The Effect of Surgical Experience on Perioperative and Oncological Outcomes After Robot-assisted Radical Cystectomy with Intracorporeal Urinary Diversion: Evidence from a Referral Centre with Extensive Experience in Robotic Surgery. Eur Urol Focus 2021;7:352-8.
European urology focus
May 28, 2021
Artificial Intelligence Can Improve Patient Management at the Time of a Pandemic: The Role of Voice Technology.
Journal of medical Internet research
May 25, 2021
Artificial intelligence-driven voice technology deployed on mobile phones and smart speakers has the potential to improve patient management and organizational workflow. Voice chatbots have been already implemented in health care-leveraging innovativ...
Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach.
Sensors (Basel, Switzerland)
May 10, 2021
Maintaining a high quality of conversation between doctors and patients is essential in telehealth services, where efficient and competent communication is important to promote patient health. Assessing the quality of medical conversations is often h...
Medical Specialty Recommendations by an Artificial Intelligence Chatbot on a Smartphone: Development and Deployment.
Journal of medical Internet research
May 6, 2021
BACKGROUND: The COVID-19 pandemic has limited daily activities and even contact between patients and primary care providers. This makes it more difficult to provide adequate primary care services, which include connecting patients to an appropriate m...
Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.
JAMA network open
Apr 1, 2021
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
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