A second-generation artificial intelligence-based therapeutic regimen improves diuretic resistance in heart failure: Results of a feasibility open-labeled clinical trial

Gelman, Ram; Hurvitz, Noa; Nesserat, Rima; Kolben, Yotam; Nachman, Dean; Jamil, Khurram; Agus, Samuel; Asleh, Rabea; Amir, Offer; Berg, Marc D.; Ilan, Yaron

doi:10.1016/j.biopha.2023.114334

Cited by 10 publications

(6 citation statements)

References 49 publications

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“…A CDP-based second-generation AI system was shown to overcome diuretic tolerance in patients with heart failure, improving the clinical and laboratory measures. 47 Similarly, improvement was shown in patients with immune-mediated disease and patients with chronic pain with loss of effects of their chronic therapies. 48 Monitoring and follow-up model based on co-piloting.…”

Section: An Improved Diagnosis Model Based On Co-pilotingmentioning

confidence: 94%

Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine

Ilan

2023

INQUIRY

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Internal medicine departments must adapt their structures and methods of operation to accommodate changing healthcare systems. The present paper discusses some challenges departments of medicine face as healthcare providers and consumers continue to change. A co-pilot model is described in this article for augmenting physicians rather than replacing them. The paper presents the co-pilot models to improve diagnoses, treatments, and monitoring. Personalized variability patterns based on the constrained-disorder principle (CDP) are described to assess chronic therapies’ effectiveness in improving patient outcomes. Based on CDP-based enhanced digital twins, this paper presents personalized treatments and follow-ups that improve diagnosis accuracy and therapy outcomes. While maintaining their professional values, departments of internal medicine must respond proactively to the needs of patients and healthcare systems. To meet the needs of patients and healthcare systems, they must strive for medical professionalism and adapt to the dynamic environment.

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Section: An Improved Diagnosis Model Based On Co-pilotingmentioning

confidence: 94%

Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine

Ilan

2023

INQUIRY

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“…By introducing personalized variability in dosing and administration times into treatments, CDP-based AI platforms overcome drug tolerance [274][275][276][279][280][281][282][283][284][285][286][287][288][289][290][291][292][293][294][295][296][297][298]. By quantifying variability signatures, these algorithms aim to overcome or prevent tolerance to chronic medications [18,126,[279][280][281][282][283][284][285][286][287][288][289][290][291][292][293][294][295][296][299][300][301][302][303]…”

Section: Cdp-based Platform To Overcome Drug Tolerancementioning

confidence: 99%

“…By introducing personalized variability in dosing and administration times into treatments, CDP-based AI platforms overcome drug tolerance [ 274 , 275 , 276 , 279 , 280 , 281 , 282 , 283 , 284 , 285 , 286 , 287 , 288 , 289 , 290 , 291 , 292 , 293 , 294 , 295 , 296 , 297 , 298 ]. By quantifying variability signatures, these algorithms aim to overcome or prevent tolerance to chronic medications [ 18 , 126 , 279 , 280 , 281 , 282 , 283 , 284 , 285 , 286 , 287 , 288 , 289 , 290 , 291 , 292 , 293 , 294 , 295 , 296 , 299 , 300 , 301 , 302 , 303 , 304 , 305 ,…”

Section: Introductionmentioning

confidence: 99%

The Constrained Disorder Principle May Account for Consciousness

Sigawi,

Hamtzany,

Shakargy

et al. 2024

Brain Sciences

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There is still controversy surrounding the definition and mechanisms of consciousness. The constrained disorder principle (CDP) defines complex systems by their dynamic borders, limiting their inherent disorder. In line with the CDP, the brain exhibits a disorder bounded by dynamic borders essential for proper function, efficient energy use, and life support under continuous perturbations. The brain’s inherent variability contributes to its adaptability and flexibility. Neuronal signal variability challenges the association of brain structures with consciousness and methods for assessing consciousness. The present paper discusses some theories about consciousness, emphasizing their failure to explain the brain’s variability. This paper describes how the CDP accounts for consciousness’s variability, complexity, entropy, and uncertainty. Using newly developed second-generation artificial intelligence systems, we describe how CDP-based platforms may improve disorders of consciousness (DoC) by accounting for consciousness variability, complexity, entropy, and uncertainty. This platform could be used to improve response to current interventions and develop new therapeutic regimens for patients with DoC in future studies.

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“…These systems improved clinical and laboratory measures in patients with chronic heart failure, reducing emergency room admissions and hospitalizations [ 268 ]. Similar results were shown for patients with multiple sclerosis and those suffering from chronic pain [ 238 ].…”

Section: Digital Health Challenges Can Be Overcome By Using Cdp-based...mentioning

confidence: 99%

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems

Hurvitz,

Ilan

2023

Clinics and Practice

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The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a “nice to have” tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make “nice to have,” “assists,” and “ease processes” insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems’ malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system’s costs.

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A second-generation artificial intelligence-based therapeutic regimen improves diuretic resistance in heart failure: Results of a feasibility open-labeled clinical trial

Cited by 10 publications

References 49 publications

Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine

Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine

The Constrained Disorder Principle May Account for Consciousness

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems

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