Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning

E ŞAHiN, NN Arslan, D Özdemir - Neural Computing and Applications, 2024 - Springer
Deep learning models have revolutionized numerous fields, yet their decision-making
processes often remain opaque, earning them the characterization of “black-box” models …

EVATOM: an optical, label-free, machine learning assisted embryo health assessment tool

N Goswami, N Winston, W Choi, NZE Lai… - Communications …, 2024 - nature.com
The combination of a good quality embryo and proper maternal health factors promise
higher chances of a successful in vitro fertilization (IVF) procedure leading to clinical …

Machine learning assisted health viability assay for mouse embryos with artificial confocal microscopy (ACM)

N Goswami, N Winston, W Choi, NZE Lai, RB Arcanjo… - bioRxiv, 2023 - biorxiv.org
The combination of a good quality embryo and proper maternal health factors promise
higher chances of a successful in vitro fertilization (IVF) procedure leading to clinical …

Inference of gene regulatory networks for overcoming low performance in real-world data

Y Hiki, Y Tokuoka, TG Yamada, A Funahashi - bioRxiv, 2024 - biorxiv.org
The identification of gene regulatory networks is important for understanding the
mechanisms of various biological phenomena. Many methods have been proposed to infer …

Exploring the complexities of AI-Assisted Embryo Selection: a comprehensive review

L Urcelay Ganzabal - 2023 - upcommons.upc.edu
In-Vitro Fertilization is among the most widespread and successful treatments for infertility.
One of its main challenges is the evaluation and selection of embryos for implantation, a …

Tekoälyn eettiset teemat terveydenhuollon tekoälyteknologioissa

T Kivikangas - 2023 - jyx.jyu.fi
Tekoälyn etiikka on nopeasti kehittyvä ja tärkeä ala, erityisesti kun tekoälyä käytetään yhä
enemmän arkaluonteisiin aloihin, kuten terveydenhuoltoon. Jotta tekoälyä voidaan käyttää …