Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

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Quantum Classification Outside the Promised Class by Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris

“…Utilizing this concept, we show that, as long as the unknown function is close enough to the promised class, it is still possible to obtain useful information about its behavioral pattern from the classification algorithm. …”
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S. Scott Graham, The Doctor and the Algorithm. Promise, Peril, and the Future of Health AI by Israel Cedillo Lazcano

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Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review by Akhlas Hasan, Shayma Mohi-Aldeen

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Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm by Zhilong Song, Linfeng Fan, Shuaihua Lu, Chongyi Ling, Qionghua Zhou, Jinlan Wang

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Promising algorithms to perilous applications: a systematic review of risk stratification tools for predicting healthcare utilisation by Hutan Ashrafian, Jessica Morley, Joe Zhang, Christopher Oddy

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Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms by Yi Liu, Bingxian Bian, Shiyu Chen, Bingqian Zhou, Peng Zhang, Lisong Shen, Hui Chen

“…The results of RT‐PCR and bioinformatics analysis revealed four promising biomarkers with optimal diagnostic and prognostic potential. …”
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Demand Response: A Promising Solution to DG Allocation Problem by Soheil Dolatabadi, Saeed Ghassem Zadeh

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An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction by Agung Fatwanto, Muh Nur Aslam, Rebbecah Ndugi, Muhammad Syafrudin

“…The objective of this study is therefore to provide the required insight by way of investigating and comparing a number of resampling techniques, classification algorithms, and evaluation measurements (metrics) for building software defect prediction models on CM1 NASA PROMISE data as the representation of a small yet unbalanced dataset. …”
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From threat to opportunity: Gaming the algorithmic system as a service by Marijn Sax, Hao Wang

“…In this model, transparency promises are wrapped into an assisted gaming service and sold as a premium feature. …”
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Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…Conclusions Threshold adjustment showed significant promise in post-processing bias mitigation for healthcare algorithms, followed by reject option classification and calibration. …”
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OCT Angiography: A promising tool in Glaucoma by Priya Saraf, Neha Sachdeva, Hage Amung

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Promising Research Results and Development in the Field of Microwave Technology by A. V. Gusinsky

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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

“…Moving forward, regular monitoring, evaluation, and refinement of approaches in real-world settings are needed for clinical algorithms serve all patients equitably and effectively.Keywords: clinical algorithms, race correction, health disparities, algorithmic fairness, algorithmic bias, lung function, spirometer, bias mitigation, bias detection…”
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Artificial Intelligence in Medical Education: Promise, Pitfalls, and Practical Pathways by Saroha S

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Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics by Md Abu Sufian, Lujain Alsadder, Wahiba Hamzi, Sadia Zaman, A. S. M. Sharifuzzaman Sagar, Boumediene Hamzi

“…<b>Background/Objectives</b>: The research addresses algorithmic bias in deep learning models for cardiovascular risk prediction, focusing on fairness across demographic and socioeconomic groups to mitigate health disparities. …”
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Wrapped Up in the Cis-Tem: Trans Liveability in the Age of Algorithmic Violence by Christoffer Koch Andersen

“…Algorithms pervade our reality and promise to universally enhance our lives, but what happens when this promise is reserved for cisgender people while subjecting trans people to legacies of anti-trans violence that implicate trans liveability? …”
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Promising methods of prenatal diagnostics based on passive sensors and machine learning by A. A. Ivshin, V. M. Vorobyova, N. A. Malyshev

“…The main problem is generation of effective data processing algorithms for their accurate and unambiguous interpretation. …”
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The new era of artificial intelligence in neuroradiology: current research and promising tools by Fabíola Bezerra de Carvalho Macruz, Ana Luiza Mandetta Pettengil Dias, Celi Santos Andrade, Mariana Penteado Nucci, Carolina de Medeiros Rimkus, Leandro Tavares Lucato, Antônio José da Rocha, Felipe Campos Kitamura

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The PROMISE of Precision Medicine in Myocardial Infarction with Non-Obstructive Coronary Arteries by Giulia La Vecchia, Vincenzo Scarica, Ludovica Leo, Rocco A. Montone

“…This review article discusses the promise of a precision medicine approach in patients with MINOCA, highlighting the potential innovations and challenges of a personalized medicine strategy in MINOCA.…”
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