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Results for “decision intelligence”

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At least 19 recordsLinked to original sources
PubMed2026

CAUSAL artificial intelligence and data-driven decision intelligence in personalized medicine: a review of healthcare informatics systems.

This review examines the integration of causal artificial intelligence (AI) and data-driven decision intelligence within healthcare informatics systems to advance personalized medicine and clinical decision-making. A narrative review methodology was employed, synthesizing interdisciplinary literature from major databases, including PubMed, Scopus, Web of Science, IEEE Xplore, and ScienceDirect. Studies focusing on causal inference, decision intelligence, and healthcare informatics applications in personalized medicine were included. Data were extracted on methodological approaches, healthcare settings, analytical techniques, and clinical applications, followed by thematic synthesis. Findings indicate that causal AI enhances clinical decision support by enabling estimation of treatment effects and simulation of intervention outcomes at the individual patient level. Integration of multimodal health data such as electronic health records, genomic data, and real-time monitoring improves prediction accuracy and supports tailored treatment strategies. Additionally, causal models improve interpretability, fostering clinician trust and facilitating transparent decision-making. Robust healthcare informatics infrastructures, including interoperable systems and data warehouses, were identified as critical enablers of causal analytics. Overall, causal AI represents a transformative advancement in healthcare analytics, supporting more informed, individualized, and evidence-based clinical decisions. Its integration within healthcare informatics systems has significant potential to improve patient outcomes and guide the future of intelligent, personalized healthcare delivery.

Precision Medicine↗
PubMed2026

AI-driven CRISPR screening: optimizing gene editing through automation and intelligent decision support.

BACKGROUND: CRISPR-based genetic screening has become a central methodology in functional genomics, enabling systematic interrogation of gene function, genetic interactions and context-dependent vulnerabilities at scale. However, the rapid expansion of screening modalities-including multi-condition designs, combinatorial perturbations, in vivo applications and single-cell readouts-has exposed fundamental limitations of heuristic-driven experimental design and post hoc statistical analysis. MAIN BODY: This Review synthesizes how artificial intelligence is reshaping CRISPR screening by introducing predictive, adaptive and system-level intelligence across the experimental lifecycle. We organize recent advances into two tightly coupled modules. First, machine learning and deep learning (ML/DL) methods optimize experimental design by learning context-dependent perturbation behavior, anticipating confounding effects and enabling iterative, information-efficient screening strategies. Second, large language model-agent (LLM-agent) systems complement these advances by externalizing scientific reasoning, integrating biological knowledge at scale and coordinating analysis and decision-making in human-in-the-loop workflows. CONCLUSIONS: Together, ML/DL and LLM-agent approaches reframe CRISPR screening from a static analytical pipeline into an intelligent experimental system, with important implications for robustness, scalability and biological discovery.

Artificial Intelligence↗
PubMed1989

Decision analysis: a framework for critical care decision assistance.

The ultimate goal of medical computer systems is to help clinicians make good decisions. Such systems must be based on sound principles. Decision analysis is a 25-year-old discipline that provides the needed rigorous foundation for decision assistance. Decision analysis comprises the philosophy, procedures, and tools that can correct the flaws in existing critical care decision-making practice. Intelligent decision systems--computer-based systems that automate decision analysis--make it practical to apply decision analysis to critical care. Orchestra is a pilot intelligent decision system (now under development) that coordinates the efforts of the critical care specialist, the bedside physician, and the bedside nurse in building decision models that can provide recommendations and insight for ventilator management decisions. Decision analysis delivered by intelligent decision systems has great potential for improving critical care decision-making.

Algorithms↗
PubMed1990

Artificial intelligence for medical decision making.

Artificial intelligence techniques find extensive applications in medical decision making and other aspects of health care. A number of successful expert systems have been developed in various disciplines of medicine. This paper gives an overview of expert system techniques, describes some practical systems, and discusses the relevance of such systems in clinical diagnosis and management of diseases.

Decision Making, Computer-Assisted↗
PubMed2026

AI-driven snapshot hyperspectral imaging for on-line sorting systems in food industry: From real-time sensing to intelligent decision-making.

High-throughput food sorting requires rapid, non-destructive detection of external defects, foreign materials, and internal quality attributes in heterogeneous food matrices. Conventional scanning hyperspectral imaging may suffer from motion-induced spatial-spectral mismatches, whereas snapshot hyperspectral imaging (S-HSI) captures spectral images within a single integration time. However, its advantage is limited by trade-offs in resolution, signal-to-noise ratio (SNR), reconstruction uncertainty, and calibration stability, which are further amplified by variable tissue structure, surface reflection, moisture, and fat distribution in foods. This review critically examines artificial intelligence (AI)-driven S-HSI for on-line food sorting within a sensing-representation-decision-execution framework. Compact architectures are compared according to their physical constraints, food-sorting suitability, and ability to support mapping between spectral responses and physicochemical quality attributes. AI strategies are reviewed for spectral reconstruction, image restoration, spatial-spectral representation, band selection, uncertainty-aware decision-making, and edge implementation. AI can partially compensate for snapshot-specific limitations, but current evidence remains largely limited to laboratory or prototype studies. Future work should link system performance to food safety and quality outcomes by reporting throughput, decision latency, calibration drift, missed-detection risk, false-rejection cost, and closed-loop sorting success.

Hyperspectral Imaging↗
PubMed1992

Decision analysis for periodontal therapy.

Current decision-making approaches in clinical medicine and dentistry are based on principles developed when diagnostic and therapeutic options were few. The rapid pace of new technology development and the role of third-party payment systems are increasingly requiring that health-care providers and patients confront very complex decisions. These decisions typically involve significant uncertainty (e.g., How will a specific patient respond to each possible treatment?) and difficult tradeoffs (e.g., How much are patients willing to pay in money, time, and treatment effectiveness to avoid pain and discomfort?). This paper discusses high-quality decision-making. High-quality diagnostic and therapeutic decisions result from a well-developed decision basis that represents the alternatives, information, and preferences pertaining to the decision at hand. An effective decision basis is framed to address patients' and clinicians' key concerns. The resulting recommendation for action is based on an understanding of what factors are most sensitive in determining the best course of action. Moreover, the value of additional information-gathering efforts (e.g., further diagnosis) can be measured before the information is obtained to determine whether it is worth more than it costs. The paper illustrates the need for better decision-making methods with a sample patient case, discusses key decision analysis principles and methods, identifies specific areas where periodontal decision-making can be improved by decision analysis, and presents a periodontal decision analysis case. It then discusses how intelligent decision system technology can make decision analysis widely available in a clinical setting and concludes by exploring how a future dental office might use this technology on a routine basis.

Decision Making↗
PubMed1989

Expert systems and the pancreatic cancer problem: decision support in the pre-operative diagnosis.

In this paper, after reviewing the main issue in artificial intelligence, decision support systems, medical decision-making, expert systems and some of their applications in medicine, we focus on the diagnostic aspect of pancreatic cancer. We briefly examine the most significant applications both from the oncological and from the diagnostic point of view. We discuss the medical problems mentioning incidence and mortality, aetiological factors and diagnosis, considering the roles of surgery and adjuvant therapies. Finally we justify the decision to develop an expert system in such a medical domain and discuss the SPES (Surgical Pancreatic Expert System) project, its parts dealing with the different medical phases of pancreatic cancer diagnosis and therapy: pre-operative, intra-operative and adjuvant therapies. In particular we discuss diagnostic aspects of pancreatic cancer disease, pointing out the aims of the project, methodologies, tools used and future developments.

Decision Support Techniques↗
PubMed1992

Dentists, drugs, and decisions: introduction to Part I--Therapeutic drugs.

Numerous dental therapeutic agents or drugs are available over the counter or with prescription for patient use at home or in a professional office. Knowledge of the processes by which these agents are evaluated for safety and efficacy by the FDA and ADA is necessary for dental professionals to make intelligent decisions concerning their use. Several examples of problems with drug/cosmetic evaluations are cited.

American Dental Association↗
PubMed1973

Informed consent, a reappraisal of patients' reactions.

In response to the November 1972 ruling of the California Supreme Court requiring complete, detailed disclosure of risks for procedures and treatments, a survey was made of the reactions of one hundred patients to this decision. A fictional man was described with a clinical diagnosis of brain tumor, and then the procedure for cerebral angiography and all of that procedure's potential complications were described. The majority of the patients surveyed responded that this complete disclosure of risks helped them in making an intelligent decision about giving consent for the procedure. However, 50 percent of these patients would have withheld consent for the procedure on learning of the complications. Although physicians would have reacted differently, it is certainly the patients' right to make the choices they did.

Decision Making↗
PubMed1975

Results of pulmonary arterial banding in infancy. Survey of 5 years' experience in the New England Regional Infant Cardiac Program.

The results of pulmonary arterial banding in 238 infants, 12 percent of the infants admitted to the New England Regional Infant Cardiac Program, is reviewed. Overall survival to age 1 year was 63 percent. Survival was least likely (37 percent) in those who required banding within the 1st month of life. Additional surgery decreased the survival rate in those operated on after 1 month of age. Infants with anomalies for which no corrective surgical procedure is available (23 of 238) have only a 30 percent chance of survival. Those with lesions correctable within the 1st year (133 of 238) have a 74 percent survival rate; 52 percent (82 of 238) of those for whom a curative operation is available after the 1st year survive. These pulmonary arterial banding data coupled with results of primary correction should provide the data base required for an intelligent decision in respect to appropriate surgical treatment of infants with critical heart disease.

Heart Defects, Congenital↗
PubMed1989

Event or emergency? Two response systems in the mammalian superior colliculus.

Recent studies of the effects of stimulating the superior colliculus (SC) in rodents suggest that this structure mediates at least two classes of response to novel sensory stimuli. One class contains the familiar orienting response, together with movements resembling tracking or pursuit, and appears appropriate for undefined sensory 'events'. The second class contains defensive movements such as avoidance or flight, together with cardiovascular changes, that would be appropriate for a sudden emergency such as the appearance of a predator, or of an object on collision course. The two response systems appear to depend on separate output projections, and are probably subject to different sensory and forebrain influences. These findings (1) suggest an explanation for the complex anatomical organization of the SC, with multiple output pathways differentially accessed by a very wide variety of inputs, (2) emphasize the similarities between the SC and the optic tectum in non-mammalian species, and (3) suggest that the SC may be useful as a model for studying both the sensory control of defensive responses, and how intelligent decisions can be taken about relatively simple sensory inputs.

Animals↗
PubMed1989

Clinical neurosensory testing: practical applications.

A relatively large percentage of the practicing oral and maxillofacial surgeon's patients experience some degree of neurosensory impairment as a normal concomitant of major surgery. Additionally, some patients develop neurosensory disturbances unexpectedly following routine surgical procedures. This report describes a practical approach to evaluating these individuals, which is essential in making intelligent decisions regarding the objective nature of the nerve injury, potential for recovery, and/or possible need for secondary microneurosurgical intervention.

Humans↗
PubMed1990

Research in physical medicine and rehabilitation. VII. The role of the principal investigator.

The roles and responsibilities of the principal investigator of a research project are described to allow the young researcher to make an intelligent decision regarding which role to take in a research project. Guidelines are given about which tasks may be delegated and how to do this. These tasks include formulation of the question, project design, obtaining funding, project startup and ongoing management, data analysis and publication. Particular attention is paid to design/analysis and publication, since these determine authorship on biomedical research articles.

Humans↗
PubMed1991

Managing patient education: a perspective for the 1990s.

Changes in the delivery and complexity of health care make it imperative that the patient and family are provided with the information needed to make intelligent decisions and choices about health care alternatives. The intent of this paper is to outline the nurse manager's responsibilities for patient education and to provide a practical framework by which to structure patient teaching programs. Although the philosophies of self-care and self-determination are outlined and provide the primary orientation to the concept of patient education, the description of the nurse manager's clinical and aggregate skills provide both the training and practice guidelines.

Assertiveness↗
PubMed1990

Informed consent for presbyopic contact lens patients.

The doctrine of informed consent requires that health care practitioners provide each patient with sufficient information about a proposed treatment so that the patient can make a knowing, willing and intelligent decision about the recommended treatment. The need for a thorough, well documented informed consent is especially important when prescribing monovision or bifocal contact lenses for presbyopic patients because of the relatively low success rate and possible associated vision compromise. Patients should be advised of the alternatives available and provided with a supplemental or alternative correction which will optimize the patient's vision for driving and other potentially hazardous activities. An example of an informed consent document that could be used to record the warnings and advice given to presbyopic contact lens patients is included. Failure to obtain the patient's informed consent and properly document it can be a major source of liability in contact lens practice. Use of informed consent documents such as the one described in this paper can minimize this possibility.

Contact Lenses↗