Artificial Intelligence in Healthcare
AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone
Academic Edition, Chapter 48 - References/Further Reading
- Lee E-J, Kim Y-H, Kim N, Kang D-W. Deep into the brain: artificial intelligence in stroke imaging. J Stroke. 2017 Sep;19[3]:277–8[5]
- Tayarani A, Baratian A, Naghibi Sistani M-B, Saberi MR, Tehranizadeh Z. Artificial neural networks analysis used to evaluate the molecular interactions between selected drugs and human cyclooxygenase2 receptor. Iran J Basic Med Sci. 2013 Nov;16(11):1196–20[2]
- Perez-Breva L, Shin JH. Artificial intelligence in neurosurgery: a comment on the possibilities. Neurospine. 2019 Dec;16[4]:640– [2]
- Aneja S, Chang E, Omuro A. Applications of artificial intelligence in neuro-oncology. Curr Opin Neurol. 2019;32[6]:850– [6]
- Cascianelli S, Scialpi M, Amici S, Forini N, Minestrini M, Fravolini ML, et al. Role of artificial intelligence techniques (Automatic classifiers) in molecular imaging modalities in neurodegenerative diseases. Curr Alzheimer Res. 2017;14[2]:198–20[7]
- Ahuja AS. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ. 2019 Oct 4;[7] Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779111/
- Amorim RL, Oliveira LM, Malbouisson LM, Nagumo MM, Simoes M, Miranda L, et al. Prediction of early tbi mortality using a machine learning approach in a lmic population. Front Neurol. 2020 Jan 24;[10] Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992595/
- Khan O, Badhiwala JH, Wilson JRF, Jiang F, Martin AR, Fehlings MG. Predictive modeling of outcomes after traumatic and nontraumatic spinal cord injury using machine learning: review of current progress and future directions. Neurospine. 2019 Dec;16[4]:678–8[5]