Titlebook: Handbook of Artificial Intelligence in Healthcare; Vol. 1 - Advances an Chee-Peng Lim,Ashlesha Vaidya,Lakhmi C. Jain Book 2022 The Editor(s

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Case Studies to Demonstrate Real-World Applications in Ophthalmic Image Analysissis is as evident in medicine as it is elsewhere. Numerous artificial intelligence techniques been applied to different medical problems with the aim of automating time-consuming, and often subjective, manual tasks implemented by practitioners in diverse specialties. This chapter focuses on several

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Segmentation of Petri Plate Images for Automatic Reporting of Urine Culture Testson of advanced image processing techniques, artificial intelligence tools, fuzzy logic, genetic algorithms, and Bayesian modeling. In particular, the development of intelligent tools for the automatic reporting of medical analyses (screening systems) has attracted increasing research interest, due t

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Repurposing Routine Imaging for Cancer Biomarker Discovery Using Machine Learningnical background and setting for the opportunistic development of cancer imaging biomarkers from such routine imaging. The chapter is aimed at the clinicians with a data science interest as well as data scientists with a clinical interest, and touches on computational approaches on radiological data

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Artificial Intelligence and Deep Learning, Important Tools in Assisting Gastroenterologiststhis problem. Early detection of pre-cancerous signs considerably increases the survival rate. Inter and intra-observer variability might be stated in lesions’ diagnosis due to the patient’s personal particularities, depending on colon cleansing degree or influenced by the expert’s training, state o

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Last Advances on Automatic Carotid Artery Analysis in Ultrasound Images: Towards Deep Learningg used to detect the presence of subclinical atherosclerosis since it provides a measurement of the Intima Media Thickness (IMT) of the artery and can be used to identify the presence of atherosclerotic plaques. Moreover, it is well known that disruption of an atherosclerotic plaque plays a crucial

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Mining Data to Deal with Epidemics: Case Studies to Demonstrate Real World AI Applicationsent types of data, which reside in complex information networks. Researchers focus on producing usable knowledge by taking advantage of opportunities in various domains (e.g., healthcare, social media, energy etc.). Epidemics and disease outbreaks raised concerns about effective infectious disease m

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A Powerful Holonic and Multi-Agent-Based Front-End for Medical Diagnostics Systemsn the field of medical diagnosis. The reason for this is the usual method of how a diagnosis is achieved. Basically, the process of medical diagnosis consists of two important steps. As a first step, a doctor always tries to gather as much relevant information and data as possible about the patient