Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges.

INTRODUCTION: Artificial intelligence (AI) has the potential to transform oncologic care. There have been significant developments in AI applications in medical imaging and increasing interest in multimodal models. These are likely to enable improved oncologic care through more precise diagnosis, increasingly in a more personalized and less invasive manner. In this review, we provide an overview of the current state and challenges that clinicians, administrative personnel and policy makers need to be aware of and mitigate for the technology to reach its full potential. AREAS COVERED: The article provides a brief targeted overview of AI, a high-level review of the current state and future potential AI applications in diagnostic radiology and to a lesser extent digital pathology, focusing on oncologic applications. This is followed by a discussion of emerging approaches, including multimodal models. The article concludes with a discussion of technical, regulatory challenges and infrastructure needs for AI to realize its full potential. EXPERT OPINION: There is a large volume of promising research, and steadily increasing commercially available tools using AI. For the most advanced and promising precision diagnostic applications of AI to be used clinically, robust and comprehensive quality monitoring systems and informatics platforms will likely be required.

Possible dose-dependent effect of eplerenone on intraocular pressure.

Purpose: Intraocular pressure (IOP) is the main modifiable risk factor for glaucoma. Current therapies target the anterior outflow of aqueous humor or its production. This study aims to demonstrate eplerenone could reduce IOP through a possible posterior outflow path via retinal pigment epithelium (RPE). Methods: In this retrospective study, IOP changes in patients undergoing eplerenone treatment were investigated. Inclusion criteria were IOP data immediately before and during treatment. Exclusion criteria included ophthalmic procedures, changes in topical glaucoma treatment, or taking systemic medications affecting IOP. After reviewing 162 charts, 41 subjects were eligible. Pearson correlation test was used to investigate the correlation between continuous IOP and eplerenone dosage. Results: The mean ± SD IOP before eplerenone treatment was 14.31 ± 3.73 mmHg and decreased to 13.50 ± 4.04 mmHg; however, this was not statistically significant (P = 0.39). In subset of patients with eplerenone dose of more than 25 mg/day and baseline IOP equal to or less than 15 mmHg, the mean IOP before eplerenone treatment was 12.33 ± 2.59 mmHg and decreased to 10.33 ± 2.99, which is a trend toward IOP reduction with a 16% reduction in IOP (P = 0.055). Conclusion: A possible dose-dependent decrease in IOP with eplerenone provides indirect evidence for the posterior flow model and suggests the mineralocorticoid receptors (MRs) in RPE play a role in the posterior flow of aqueous humor. It can be deduced that the RPE pumps responsible for the posterior flow of aqueous humor are MR-regulated and their function can be enhanced with MR antagonists.