[HTML][HTML] Natural language processing for mental health interventions: a systematic review and research framework

M Malgaroli, TD Hull, JM Zech, T Althoff - Translational Psychiatry, 2023 - nature.com
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

[PDF][PDF] Artificial intelligence in dentistry: current applications and future perspectives

Y Chen, K Stanley, W Att - Quintessence Int, 2020 - cephx.com
Artificial intelligence (AI) encompasses a broad spectrum of emerging technologies that
continue to influence daily life. The evolution of AI makes the analysis of big data possible …

[HTML][HTML] Artificial intelligence in dermatology: challenges and perspectives

K Liopyris, S Gregoriou, J Dias, AJ Stratigos - Dermatology and Therapy, 2022 - Springer
Artificial intelligence (AI) based on machine learning and convolutional neuron networks
(CNN) is rapidly becoming a realistic prospect in dermatology. Non-melanoma skin cancer …

Ophthalmic diagnosis using deep learning with fundus images–A critical review

S Sengupta, A Singh, HA Leopold, T Gulati… - Artificial intelligence in …, 2020 - Elsevier
An overview of the applications of deep learning for ophthalmic diagnosis using retinal
fundus images is presented. We describe various retinal image datasets that can be used for …

[HTML][HTML] A combined convolutional and recurrent neural network for enhanced glaucoma detection

S Gheisari, S Shariflou, J Phu, PJ Kennedy, A Agar… - Scientific reports, 2021 - nature.com
Glaucoma, a leading cause of blindness, is a multifaceted disease with several patho-
physiological features manifesting in single fundus images (eg, optic nerve cupping) as well …

Homecare robotic systems for healthcare 4.0: Visions and enabling technologies

G Yang, Z Pang, MJ Deen, M Dong… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Powered by the technologies that have originated from manufacturing, the fourth revolution
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …

Artificial intelligence in dermatology—where we are and the way to the future: a review

DT Hogarty, JC Su, K Phan, M Attia, M Hossny… - American journal of …, 2020 - Springer
Although artificial intelligence has been available for some time, it has garnered significant
interest recently and has been popularized by major companies with its applications in …

Automatic detection of diabetic eye disease through deep learning using fundus images: a survey

R Sarki, K Ahmed, H Wang, Y Zhang - IEEE access, 2020 - ieeexplore.ieee.org
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …

Artificial intelligence: applications in orthognathic surgery

P Bouletreau, M Makaremi, B Ibrahim, A Louvrier… - Journal of stomatology …, 2019 - Elsevier
Artificial Intelligence (AI) applications have already invaded our everyday life, and the last 10
years have seen the emergence of very promising applications in the field of medicine …

AI and machine learning ethics, law, diversity, and global impact

K Drabiak, S Kyzer, V Nemov… - The British journal of …, 2023 - academic.oup.com
Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise
for personalized biomedicine and more cost-effective healthcare with impressive technical …