The Ethics of Psychological Artificial Intelligence: Clinical Considerations

2021 ◽  
Vol 66 (2) ◽  
pp. 131-144
Author(s):  
Russell Fulmer ◽  
Tonya Davis ◽  
Cori Costello ◽  
Angela Joerin
Keyword(s):  
Artificial Intelligence ◽  
Clinical Considerations

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

2020 ◽  
pp. bjophthalmol-2019-315651 ◽  
Author(s):  
Darren Shu Jeng Ting ◽  
Valencia HX Foo ◽  
Lily Wei Yun Yang ◽  
Josh Tjunrong Sia ◽  
Marcus Ang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Refractive Surgery ◽  
Anterior Segment ◽  
Age Related Macular Degeneration ◽  
Angle Closure ◽  
Corneal Transplant ◽  
Future Directions ◽  
Age Related ◽  
Clinical Considerations ◽  
Intelligent Healthcare

With the advancement of computational power, refinement of learning algorithms and architectures, and availability of big data, artificial intelligence (AI) technology, particularly with machine learning and deep learning, is paving the way for ‘intelligent’ healthcare systems. AI-related research in ophthalmology previously focused on the screening and diagnosis of posterior segment diseases, particularly diabetic retinopathy, age-related macular degeneration and glaucoma. There is now emerging evidence demonstrating the application of AI to the diagnosis and management of a variety of anterior segment conditions. In this review, we provide an overview of AI applications to the anterior segment addressing keratoconus, infectious keratitis, refractive surgery, corneal transplant, adult and paediatric cataracts, angle-closure glaucoma and iris tumour, and highlight important clinical considerations for adoption of AI technologies, potential integration with telemedicine and future directions.

scholarly journals Evaluating the Clinical and Cost Effectiveness of Musculoskeletal Digital Health Solutions

2020 ◽  
Author(s):  
Glen Cheng ◽  
Nischal Chennuru ◽  
Liz Kwo
Keyword(s):  
Artificial Intelligence ◽  
Digital Health ◽  
Health Data ◽  
Remote Patient Monitoring ◽  
Regulatory Oversight ◽  
Health Apps ◽  
Clinical Considerations ◽  
Data Tracking ◽  
Remote Patient ◽  
Health Field

This chapter will introduce the clinician to the quickly expanding field of musculoskeletal-focused digital apps (MDA), with an eye towards helping the clinician select and recommend MDAs for optimal patient care. MDAs are increasingly being used for physical therapy and rehabilitation, telehealth, pain management, behavioral health, and remote patient monitoring. The COVID-19 pandemic has vastly accelerated the adoption of telehealth and digital health apps by patients and clinicians, and the digital health field will only continue to expand as developers increasingly harness artificial intelligence (AI) and machine learning (ML) capabilities, coupled with precision medicine capabilities that integrate personal health data tracking and genomics insights. Here we begin with an overview of several types of MDA, before discussing the epidemiology of musculoskeletal conditions and injuries, clinical considerations in selecting a digital health solution, payor reimbursement for digital apps, and regulatory oversight of digital health apps.

Artificial Intelligence

2009 ◽  
Author(s):  
David L. Poole ◽  
Alan K. Mackworth
Keyword(s):  
Artificial Intelligence
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