ReviewJournal of perinatology : official journal of the California Perinatal Association2026
A lesson from the past and the future of artificial intelligence in medical decision-making.
Review in Journal of perinatology : official journal of the California Perinatal Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Physicians now often face clinical decision-making with vast amounts of various data, readily at hand and requiring integration and interpretation. The need to make decisions in the best interest of patients in a timely manner is especially acute in the neonatal intensive care unit or other critical care environments, where the clinical circumstances are complex, and lives may hang in the balance. Artificial intelligence (AI) may assist physicians by providing easy access to existing knowledge and discerning data patterns, perhaps previously unrecognized. However, whether AI can replace human decision-makers altogether remains an open question, as not all decisions in a patient's best interest are simply based on knowledge or an analysis of the data in the case. Some decisions require wisdom and a moral application of the information, taking into consideration a particular patient, not a "general" one. Not all responsibility or angst can be relieved for the good doctor.
Identifiers
42481738What Socratic holds
Registered trials
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 Socratic graph.