Evidence map›Paper›PMID 39004685›Full record

ReviewNeurosurgical review2024

Apple Intelligence in neurosurgery.

Ali A Mohamed, Brandon Lucke-Wold

Abstract readReviewLetter
PubMed Publisher
In one paragraph

Review in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

2 authors.

Ali A MohamedCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA. Amohamed2020@health.fau.edu.
Brandon Lucke-WoldLillian S. Wells Department of Neurosurgery, University of Florida, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the current artificial intelligence (AI) boom, new innovative and accessible applications requiring minimal computer science expertise have been developed for discipline specific and mainstream purposes. Apple Intelligence, a new AI model developed by Apple, aims to enhance user experiences with new functionalities across many of its product offerings. Although designed for the everyday user, many of these advances have potential applications in neurosurgery. These include functionalities for writing, image generation, and upgraded integrations to the voice command assistant Siri. Future integrations may also include other Apple products such as the vision pro for preoperative and intraoperative applications. Considering the popularity of Apple products, particularly the iPhone, it is important to appraise this new technology and how it can be leveraged to enhance patient care, improve neurosurgical education, and facilitate more efficiency for the neurosurgeon.

Indexed as

Artificial IntelligenceNeurosurgeryNeurosurgical ProceduresHumansApple vision proChatGPTComputer visionDeep learningLarge language modelsMixed realityTraining

Identifiers

PMID39004685

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.