AI Medical Compendium

Closing the loop: AI-driven integration of multi-omics and phenomics for systematic resilient crop engineering.

Biotechnology advances Apr 24, 2026

Sustaining global food security amidst accelerating climate change necessitates a paradigm shift from reductionist breeding to systematic, AI-driven crop engineering. This review provides a critical synthesis of the edge-to-cloud closed-loop framewor... read more

EEG-based schizophrenia detection using handcrafted biomarkers and a TOA-optimized hybrid multi-branch CNN-Transformer framework.

Brain research bulletin Apr 24, 2026

Schizophrenia is a chronic psychiatric disorder for which electroencephalography (EEG) offers a low-cost, non-invasive window into abnormal neural dynamics. However, many EEG-based computer-aided diagnosis (CAD) pipelines still rely on a single featu... read more

First step towards predicting clinical immunogenicity of biologics using in vitro based readouts as animal trial alternatives.

Journal of pharmaceutical sciences Apr 24, 2026

Immunogenicity risk assessment is a critical step in the therapeutic development process of biologics. However, anti-drug antibodies continue to occur in the clinic, compromising safety and efficacy and contributing to discontinuation of otherwise ef... read more

Using artificial intelligence to detect keratoconus progression based on age and anterior segment optical coherence tomography images.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Apr 24, 2026

In this study, we aimed to establish and evaluate an index to define keratoconus progression based on map images obtained from anterior segment optical coherence tomography (AS-OCT) and age through deep learning. AS-OCT images and patient data were r... read more

High-Throughput Imaging Cytometry paired with Artificial Intelligence Identifies Ultra-Rare Sperm in Men previously Diagnosed with Clinical Azoospermia.

Fertility and sterility Apr 24, 2026

OBJECTIVE: To determine whether a novel diagnostic platform which pairs high-throughput imaging cytometry with Artificial Intelligence (AI) assisted image analysis can identify ultra-rare sperm in ejaculatory samples deemed clinically azoospermic. DE... read more

Real-Time Evaluation of a Large Language Model for Clinical Practice Guideline Development.

Critical care explorations Apr 24, 2026

BACKGROUND: The purpose of this study was to evaluate the capability of a large language model (LLM) for performing each of the steps of clinical practice guideline development from framing a healthcare question to creating the evidence-to-decision f... read more

Systematic review of machine learning and deep learning models for EEG-based detection of depression.

Journal of psychiatric research Apr 24, 2026

OBJECTIVE: Depression is a leading cause of global disability, motivating the development of objective and scalable diagnostic approaches. Quantitative electroencephalography (QEEG) combined with machine learning (ML) and deep learning (DL) technique... read more

The ecological framework of population health - Adding public trust as a forcing factor for U.S. life expectancy and COVID-19 mortality.

Public health in practice (Oxford, England) Apr 24, 2026

OBJECTIVES: What are the factors that set the stage for health status and outcomes in the United States (U.S.)? This complex question is rarely considered in a comprehensive way. The current study employs an artificial intelligence analysis to assess... read more

Prediction of trajectories and outcomes in early-stage metabolic dysfunction-associated steatotic liver disease: a narrative review.

EClinicalMedicine Apr 24, 2026

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver disorder, with manifestations ranging from steatosis to steatohepatitis, advanced fibrosis, cirrhosis, and hepatocellular carcinoma. At all stages, M... read more

Artificial Intelligence for histopathological diagnosis and grading of breast cancer in Ethiopia.

Pathology, research and practice Apr 24, 2026

BACKGROUND: Recent advances in computational pathology enables AI-assisted diagnosis and risk stratification of breast cancer. This advance in technology will reduce the inconsistent reporting of breast cancer grading using Nottingham Histologic grad... read more

Artificial Intelligence Medical Compendium