Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modeling in Therapy01:26

Modeling in Therapy

49
Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
49
Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

429
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
429

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Integrating the Contrasting Perspectives Between the Constrained Disorder Principle and Deterministic Optical Nanoscopy: Enhancing Information Extraction from Imaging of Complex Systems.

Bioengineering (Basel, Switzerland)·2026
Same author

The Constrained Disorder Principle: A Paradigm Shift for Accurate Interactome Mapping and Information Analysis in Complex Biological Systems.

Bioengineering (Basel, Switzerland)·2025
Same author

Employing an Artificial Intelligence Platform to Enhance Treatment Responses to GLP-1 Agonists by Utilizing Metabolic Variability Signatures Based on the Constrained Disorder Principle.

Biomedicines·2025
Same author

A constrained disorder principle-based second-generation artificial intelligence digital medical cannabis system: A real-world data analysis.

Journal of public health research·2025
Same author

The Constrained Disorder Principle: Beyond Biological Allostasis.

Biology·2025
Same author

The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Principle.

Biology·2025

Related Experiment Video

Updated: Jun 6, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.3K

The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the

Yaron Ilan1

  • 1Department of Medicine, Hadassah Medical Center, Faculty of Medicine, Hebrew University, Jerusalem 9112001, Israel.

Bioengineering (Basel, Switzerland)
|November 27, 2024
PubMed
Summary

Second-generation artificial intelligence (AI) systems augment physicians, not replace them, by integrating with human biology. This approach improves patient outcomes and adherence to treatments.

Keywords:
artificial intelligencedigital healthfuture medicinemedical carerobots

More Related Videos

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.3K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.1K

Related Experiment Videos

Last Updated: Jun 6, 2025

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

4.3K
Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
11:12

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

Published on: September 18, 2012

17.3K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

15.1K

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Computational Biology

Background:

  • Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in healthcare for diagnosis, drug development, and personalized treatment.
  • Despite advancements, the integration of AI/ML into routine patient care faces significant challenges and lags behind expectations.
  • Current AI systems often struggle with the complexity of biological systems and human cognitive functions required in clinical practice.

Purpose of the Study:

  • To review challenges in integrating digital health systems into routine medical care.
  • To introduce a second-generation AI platform based on the constrained disorder principle (CDP) designed to augment, not replace, human physicians.
  • To describe the 'Digital Pill' concept, which humanizes AI by aligning it with human biology to improve patient outcomes.

Main Methods:

  • Review of existing challenges in healthcare system integration of digital tools.
  • Description of a novel second-generation AI platform grounded in the constrained disorder principle (CDP).
  • Explanation of the CDP-based AI platform's mechanism for augmenting physician decision-making and patient adherence.

Main Results:

  • The CDP-based AI platform, termed the 'Digital Pill', moves AI closer to human biology by leveraging biological variability.
  • This system augments physicians, enhancing decision-making for improved patient response and adherence to chronic medications.
  • The AI platform restores drug efficacy and generates data-driven therapeutic regimens, improving patient outcomes.

Conclusions:

  • AI is unlikely to replace human physicians, but will augment their capabilities, leading to improved patient care.
  • The described co-piloting model, integrating AI with physicians, better reflects biological pathways and enhances clinical decision-making.
  • Second-generation AI systems focused on biological complexity offer a path to more effective and human-centered healthcare augmentation.