SolvedByAI

Queue

628 cases were harvested and are backed by a real paper, but they fail the test the index publishes on. Each one is listed here with the reason, so the exclusion can be checked rather than trusted.

All 628 assisted 358 not a result 183 unsupported 87
Paper Year Cited Why it is held
Deep generative modeling for protein design Current Opinion in Structural Biology 2021 115 not a result This is a review surveying five classes of generative models and providing a framework, with no primary result produced by an AI system itself. “In this review, we discuss five classes of generative models that have been most successful at modeling proteins and provide a framework for model gui...”
A Survey on Deep-Learning-Based Diabetic Retinopathy Classification Diagnostics 2023 110 not a result This is a survey paper that reviews and compares existing deep-learning methods for diabetic retinopathy classification rather than producing any new result itself. “this study surveyed the existing literature on diabetic retinopathy diagnoses from fundus images using deep learning and provides a brief description...”
Weed Detection Using Deep Learning: A Systematic Literature Review Sensors 2023 106 not a result This is a systematic literature review synthesizing prior work on weed detection rather than presenting a new AI-produced result. “In this paper, we present a systematic literature review (SLR) on current state-of-the-art DL techniques for weed detection.”
An overview and metanalysis of machine and deep learning-based CRISPR gRNA d... RNA Biology 2019 102 not a result This is a review/survey paper summarizing and comparing existing ML/DL-based gRNA design tools rather than presenting any new AI-produced result. “In this review, we present an overview and comparative analysis of machine and deep learning (MDL)-based algorithms”
Applications of artificial intelligence in clinical laboratory genomics American Journal of Medical Genetics Part C Seminars in Medical Genetics 2023 56 not a result This is a review/survey of AI applications in clinical laboratory genomics, describing existing and anticipated uses rather than presenting a primary result produced by an AI system. “With careful and ethical development and validation of artificial intelligence for clinical laboratory genomics, these advances are expected to signif...”
Structure-based, deep-learning models for protein-ligand binding affinity pr... Journal of Cheminformatics 2024 49 not a result This is a review/survey of existing deep-learning affinity-prediction models that re-evaluates them for comparison, not a primary result produced by an AI system. “Here we review mainstream structure-based, deep-learning approaches for this problem... This review will potentially benefit structure-based drug disc...”
Machine learning for predicting cardiac events: what does the future hold? Expert Review of Cardiovascular Therapy 2020 46 not a result This is a literature review summarizing existing work on ML-based cardiovascular risk prediction, not a primary result produced by an AI system. “In this review, the authors summarize the literature comparing the performance of machine learning methods to that of traditional, statistical-based m...”
Morphological profiling for drug discovery in the era of deep learning Briefings in Bioinformatics 2024 46 not a result The abstract explicitly states this is a review summarizing recent advances in morphological profiling, with no primary research result produced by an AI system. “In this review, we provide a comprehensive overview of the recent advances in the field of morphological profiling.”
A scoping review of artificial intelligence applications in clinical trial r... npj Digital Medicine 2025 46 not a result This is a scoping review surveying 142 existing studies rather than presenting a primary AI-produced result solving a problem. “This scoping review analyzed 142 studies published between 2013 and 2024”
Machine Learning for Structural Health Monitoring of Aerospace Structures: A... Sensors 2025 44 not a result This is a survey/review paper that maps existing ML-based SHM methods and outlines future research directions, with no primary result produced by an AI system. “This review presents a comprehensive examination of recent advances in ML-based SHM methods tailored to aerospace applications.”
Machine Learning for Accelerating Energy Materials Discovery: Bridging Quant... Advanced Energy Materials 2025 43 not a result The abstract surveys existing ML paradigms, applications, challenges, and emerging directions for energy materials discovery without reporting any primary result produced by an AI system. “Current challenges include data quality, extrapolation to new chemical spaces, and physical interpretability. Emerging solutions involve equivariant a...”
Application of Deep Learning in Histopathology Images of Breast Cancer: A Re... Micromachines 2022 42 not a result This is a literature review summarizing 107 prior studies on deep learning in breast cancer histopathology, with no primary result produced by an AI system. “After an analysis of 107 articles on the application of deep learning to pathological images of breast cancer, this study is divided into three direct...”
Advancements in Artificial Intelligence in Noninvasive Cardiac Imaging: A Co... Clinical Cardiology 2025 40 not a result This is a comprehensive review surveying AI applications in cardiac imaging modalities, presenting no primary result or AI-solved task of its own. “AI is increasingly applied across various imaging modalities, including echocardiography, magnetic resonance imaging (MRI), computed tomography (CT),...”
Peptide-based drug design using generative AI Chemical Communications 2025 38 not a result The abstract explicitly states this is a review of recent progress in AI-driven peptide drug design, with no primary result produced by an AI system. “Here, we review recent progress in peptide-based drug design using AI, focusing on generative architectures and interactions.”
The Application of Machine Learning on Antibody Discovery and Optimization Molecules 2024 32 not a result The abstract explicitly identifies the paper as a review surveying machine learning-based antibody discovery developments rather than presenting a primary result produced by an AI system. “This review focuses on the latest machine learning-based antibody discovery and optimization developments.”
Data-driven Chemical Reaction Prediction and Retrosynthesis CHIMIA International Journal for Chemistry 2019 32 not a result This is a review article surveying existing reaction prediction and retrosynthesis approaches, not a paper reporting a primary result produced by an AI system. “In this article, we briefly review different approaches to predict forward reactions and retrosynthesis, with a strong focus on data-driven ones.”
Deep learning approaches for non-coding genetic variant effect prediction: c... Briefings in Bioinformatics 2024 29 not a result This is a survey/review paper summarizing existing deep learning approaches for non-coding variant effect prediction, with no primary result produced by an AI system. “Here, we provide a comprehensive overview of the development of the non-coding variants models based on bulk and single-cell sequencing data and their...”
Revolutionizing sepsis diagnosis using machine learning and deep learning mo... BMC Infectious Diseases 2025 29 not a result This is a systematic literature review synthesizing existing ML/DL sepsis prediction studies, not a primary result produced by an AI system. “This systematic review analyzes and synthesizes existing ML/DL approaches applied to sepsis prediction”
Machine learning applications on neonatal sepsis treatment: a scoping review BMC Infectious Diseases 2023 29 not a result This is a scoping review surveying existing studies of machine learning for neonatal sepsis, so it contains no primary result that an AI system solved. “This review aimed to present the application of machine learning on neonatal sepsis treatment.”
Review of Methods for Automatic Plastic Detection in Water Areas Using Satel... Sensors 2024 27 not a result This is a survey/review paper summarizing existing projects, data acquisition techniques, and deep learning algorithms for plastic detection, with no primary result of its own. “This review presents the main projects and research aimed at solving the “plastic” problem.”
Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competitio... bioRxiv (Cold Spring Harbor Laboratory) 2025 26 not a result The paper is a summary and analysis of a crowdsourced competition, reporting participants' designs, lessons learned, and recommendations for future competitions, rather than presenting a primary result produced by an AI system. “In this report, we summarize and analyze the 2024 Adaptyv protein design competition.”
Deep learning for electrocardiogram interpretation: Bench to bedside European Journal of Clinical Investigation 2025 26 not a result The abstract is a generic introductory discussion of deep learning's potential for ECG analysis with no primary result, model, or finding reported, consistent with a review/commentary. “Recent advancements in deep learning (DL), a subset of artificial intelligence, have shown the potential to automate and improve disease recognition,...”
Data-driven enzyme engineering to identify function-enhancing enzymes Protein Engineering Design and Selection 2022 22 not a result The abstract explicitly states this is a review of recent progress in data-driven enzyme engineering models, with no primary result produced. “Here, we reviewed recent progresses of data-driven models that can be applied in identifying efficiency-enhancing mutants for catalytic reactions.”
Computer-Aided Diagnosis Systems for Automatic Malaria Parasite Detection an... Electronics 2024 22 not a result This is a systematic literature review surveying existing research on AI-based malaria detection, not a primary result produced by an AI system. “Here, we present a systematic literature review of recent research on the use of automated algorithms to identify and classify malaria parasites in bl...”
Interpretable Machine Learning for Battery Prognosis: Retrospect and Prospec... Advanced Energy Materials 2025 20 not a result This is a review/survey of interpretable machine learning techniques for battery prognosis, with no primary result produced by an AI system. “this review systematically examines state‐of‐the‐art interpretable battery lifetime prediction techniques”
Faculty Opinions recommendation of A clinically applicable approach to conti... Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature 2019 not a result the record is "faculty opinions recommendation", so it is a note about another work rather than a primary result: there is nothing here for an AI to have solved “Our model predicts 55.8% of all inpatient episodes of acute kidney injury, and 90.2% of all acute kidney injuries that required subsequent administrat...”
Machine learning for perovskite materials design and discovery npj Computational Materials 2021 536 not a result This is a review paper surveying existing ML applications in perovskite discovery, with no primary result produced by an AI system. “In this review, we retrospected the latest applications of ML in assisting perovskites discovery.”
Democratising deep learning for microscopy with ZeroCostDL4Mic Nature Communications 2021 524 not a result The paper presents a toolkit/platform that wraps pre-existing DL networks (U-Net, StarDist, YOLOv2, CARE, etc.) in easy-to-use Colab notebooks to enable others' work, rather than producing a new AI-driven result itself. “Here, we present ZeroCostDL4Mic, an entry-level platform simplifying DL access by leveraging the free, cloud-based computational resources of Google C...”
A comparison of machine learning algorithms for diabetes prediction ICT Express 2021 490 not a result The paper merely re-runs seven standard ML algorithms on the public UCI Pima Indian Diabetes benchmark dataset and reports comparative accuracies, producing no new solved problem or capability. “We used the Pima Indian Diabetes (PID) dataset for our research, collected from the UCI Machine Learning Repository... We used seven ML algorithms on...”
Current applications and challenges in large language models for patient car... Communications Medicine 2025 342 not a result This is a systematic review synthesizing existing literature on LLM applications in patient care; it produces a taxonomy and framework rather than any primary result, and no AI system performed the task itself. “This review systematically maps LLM applications and limitations in patient care, providing a foundational framework and taxonomy for their implementa...”
Crowdsourcing the creation of image segmentation algorithms for connectomics Frontiers in Neuroanatomy 2015 341 not a result The paper's contribution is the organization, scoring analysis, and retrospective evaluation of a segmentation challenge (a benchmark/competition report with recommendations for future challenges), not an AI system's own solution to a scientific problem. “we organized the first international challenge on 2D segmentation of electron microscopic (EM) images of the brain”
Interpretable scientific discovery with symbolic regression: a review Artificial Intelligence Review 2024 330 not a result This is a survey/review of symbolic regression methods with no primary scientific result produced by an AI system. “In this survey, we present a structured and comprehensive overview of symbolic regression methods, review the adoption of these methods for model disc...”
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Chal... IEEE Transactions on Medical Imaging 2019 273 not a result The paper's contribution is the organization of a benchmark/challenge that evaluates eight teams' methods, not an AI system itself producing a solved result. “To address this, we organized a challenge RETOUCH in conjunction with MICCAI 2017, with eight teams participating.”
Deep learning and the electrocardiogram: review of the current state-of-the-... EP Europace 2020 263 not a result This is a review/survey paper orienting clinicians to deep learning for ECG analysis, with no primary result produced by an AI system. “This review focuses on orienting the clinician towards fundamental tenets of deep learning, state-of-the-art prior to its use for ECG analysis, and cu...”
CRISPR–Cas9 gRNA efficiency prediction: an overview of predictive tools and... Nucleic Acids Research 2022 241 not a result This is a review/survey of existing gRNA prediction tools with a benchmark re-evaluation of others' methods, not a primary result produced by an AI system. “Here, we discuss the approaches that pertain to the on-target activity problem... we evaluate these tools on independent datasets and give some sugges...”
Deep Learning Models for Retinal Blood Vessels Segmentation: A Review IEEE Access 2019 155 not a result This is a survey/review paper characterizing existing deep learning segmentation methods and offering recommendations, with no primary result produced by an AI system. “This paper presents a comprehensive review of the principle and application of deep learning in retinal image analysis.”
Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and... Sensors 2022 154 not a result The abstract explicitly identifies this as a review paper providing an overview of existing radar deep learning work, with no primary result produced by an AI system. “This review paper attempts to provide a big picture of the deep radar perception stack”
Deep Learning in Image-Based Plant Phenotyping Annual Review of Plant Biology 2024 137 not a result This is a review/survey of deep learning applications in plant phenotyping, presenting no primary result produced by an AI system. “Here, we review the basics of deep learning, assessment of deep learning success, examples of applications of deep learning in plant phenomics, best p...”
Advances in Remote Sensing Technology, Machine Learning and Deep Learning fo... Remote Sensing 2020 129 not a result This is a review/survey paper synthesizing past and current approaches to oil spill detection and prediction, not presenting a primary AI-produced result. “we aim to provide further insights on the multi-faceted problem by undertaking a holistic review of past and current approaches to marine oil spill di...”
Systematic Review of Deep Learning and Machine Learning for Building Energy Frontiers in Energy Research 2022 126 not a result This is a systematic review/survey that evaluates and taxonomizes existing ML/DL techniques from the literature rather than producing a new result itself. “The present study provides a comprehensive review of ML- and DL-based techniques applied for handling BE systems, and it further evaluates the perform...”