Evidence map›Paper›PMID 33447941›Full record

ReviewDrug delivery and translational research2021

Intelligent automated drug administration and therapy: future of healthcare.

Richa Sharma, Dhirendra Singh, Prerna Gaur, Deepak Joshi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug delivery and translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  5. Article
  6. Smart closed-loop drug delivery systems.Nature reviews bioengineering · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Electroactive Polymers for On-Demand Drug Release.Advanced healthcare materials · 2024
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Recent Advances in Wearable Sensing Technologies.Sensors (Basel, Switzerland) · 2021
    Review
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Richa SharmaCentre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India.
Dhirendra SinghRenaissance Technology Private Ltd Delhi, New Delhi, India.
Prerna GaurDivision of Instrumentation & Control Engineering, Netaji Subhas University of Technology, New Delhi, India.
Deepak JoshiCentre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi, India. joshid@iitd.ac.in.
All India Institute of Medical Sciences · INIndian Institute of Technology Delhi · INNetaji Subhas University of Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the twenty-first century, the collaboration of control engineering and the healthcare sector has matured to some extent; however, the future will have promising opportunities, vast applications, and some challenges. Due to advancements in processing speed, the closed-loop administration of drugs has gained popularity for critically ill patients in intensive care units and routine life such as personalized drug delivery or implantable therapeutic devices. For developing a closed-loop drug delivery system, the control system works with a group of technologies like sensors, micromachining, wireless technologies, and pharmaceuticals. Recently, the integration of artificial intelligence techniques such as fuzzy logic, neural network, and reinforcement learning with the closed-loop drug delivery systems has brought their applications closer to fully intelligent automatic healthcare systems. This review's main objectives are to discuss the current developments, possibilities, and future visions in closed-loop drug delivery systems, for providing treatment to patients suffering from chronic diseases. It summarizes the present insight of closed-loop drug delivery/therapy for diabetes, gastrointestinal tract disease, cancer, anesthesia administration, cardiac ailments, and neurological disorders, from a perspective to show the research in the area of control theory.

Indexed as

Artificial IntelligenceDiabetes Mellitus, Type 1Delivery of Health CareFuzzy LogicHumansInsulinInsulin Infusion SystemsNeural Networks, ComputerInsulinBiological systemsCancer treatmentCardiac ailmentsClosed-loop controlControl systemDrug deliveryGI tractInsulin therapyNeurological disorders

Identifiers

PMID33447941
OpenAlexW3120568324

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.