Opmed acts as a central tool for hospital resources. It uses the same mathematical engine originally built for the OR to solve scheduling in other departments. Whether it is fitting a 4-hour surgery into an OR block, aligning a physical therapy session with a patient’s pain medication window, or predicting how many nurses are needed on the medical floor next Tuesday, the tool ingests historical data to predict actual demand and automates the schedule to maximize utilization and regulatory compliance.

The Full Brain Solution runs in the background, automatically analyzing non-contrast CT and CTA head/neck images immediately after acquisition. If the AI detects a potential acute abnormality such as a large vessel occlusion or intracranial hemorrhage, it flags the study as "high priority" in the radiologist’s worklist and sends an alert to the relevant care team (e.g., neuro-interventionalists) via a mobile app. It functions as a retrospective "safety net" and prioritization engine, ensuring critical cases are read first rather than sitting in a queue.

Lunit INSIGHT CXR analyzes frontal chest radiographs in near real-time to identify potential abnormalities. In its primary workflow, it generates an "abnormality score" (0–100%) and a secondary image (heatmap) that highlights the exact location of suspicious findings like nodules, consolidation, or pneumothorax. For US-based users utilizing the FDA-cleared "Triage" module, the system functions as a background "traffic controller," automatically flagging studies with critical findings (e.g., pneumothorax) to move them to the top of the radiologist’s worklist for immediate review.

Lunit INSIGHT MMG analyzes standard 2D mammography images to identify suspicious lesions such as masses, calcifications, asymmetries, and architectural distortions. It assigns an "Abnormality Score" (a percentage probability of malignancy) to each case and generates visual heatmaps that pinpoint the exact location of suspicious areas. The system functions primarily as a "second reader," allowing radiologists to review the case unaided first, then toggle the AI overlay to ensure no subtle findings were missed before finalizing the report.

Cohere Health replaces the traditional "fax-and-wait" prior authorization model with a digital intake process that sits between the provider and the health plan. When a clinician orders a service, the tool analyzes clinical data (often extracted directly from the EHR) against the payer’s policy guidelines in real-time. Instead of issuing a flat denial or requiring a manual review days later, the system attempts to "green-light" the request instantly or provides immediate "nudges" to guide the provider toward a pre-approved, evidence-based care path.

Myndshft is a background infrastructure tool that automates the "investigative" phase of patient intake and ordering. When a clinician orders a service or specialty drug, the software instantly queries payers to determine (1) if the patient is covered, (2) if a prior authorization is required, and (3) whether that authorization falls under the patient’s medical benefit or pharmacy benefit. If an authorization is required, it autopopulates the necessary forms with clinical data from your system and submits them directly to the payer, bypassing the need for staff to log into individual insurance portals.

HealOS AI Receptionist replaces or augments a traditional front desk by answering incoming phone calls 24/7 using conversational AI. Instead of a "press 1 for scheduling" menu, the caller speaks naturally to an AI agent that can check calendar availability, book appointments directly, and answer practice-specific questions (e.g., parking, insurance accepted). If the caller's request is complex or clinical (triage), the system can transfer the call to a human staff member or take a detailed message.

HealOS uses an ambient listening interface (via mobile app or browser) to record patient-provider conversations in real-time. It processes this audio to automatically draft a structured clinical note (SOAP format), summary, and relevant billing codes (ICD-10/CPT). The provider then reviews the generated text and pushes it into their EHR, either through a one-click browser extension overlay or manual copy-paste.

HealOS uses AI "agents" to autonomously log into payer portals and databases to verify patient insurance coverage and submit prior authorization requests. Instead of staff manually calling insurers or navigating multiple websites, the software retrieves detailed benefit information (deductibles, copays, network status) and determines authorization requirements in the background, presenting the results directly to the administrative team.

Traditionally, pathologists spend hours hunched over glass slides searching for tiny cancer cells a process prone to fatigue and "finding the needle in the haystack." Paige digitizes this workflow. Once the glass slide is scanned into an image, Paige’s AI analyzes it in seconds to highlight suspicious areas (like Prostate Cancer or Breast Lymph Node metastases). It acts as a computational second opinion, ensuring no cancer cell is missed.

Pieces Technologies is an enterprise-grade AI platform that synthesizes fragmented EHR data into concise clinical summaries. While originally famous for its "Inpatient Engine" (which writes discharge summaries for hospitalists), Pieces has evolved into a full-spectrum solution. Its Ambulatory Platform now generates "Lifetime Ambulatory Summaries," giving outpatient doctors a longitudinal view of a patient's complex history in seconds.

Hippocratic AI is building the first "Safety-Focused" Large Language Model (LLM) designed to perform non-diagnostic nursing tasks via voice. Unlike standard chatbots, their agents speak to patients over the phone to handle chronic care management, post-discharge follow-ups, and pre-op checklists. Their stated mission is to solve the global nursing shortage by offering an "AI Nurse" for $9/hour (vs. $45/hour for a human), a pitch that has made them both famous and controversial.

Qure.ai’s flagship algorithm (qXR) can read a simple Chest X-Ray in seconds to detect Lung Cancer, Tuberculosis, Pneumonia, and Heart Failure. This makes it the "AI for the 99%"—critical for Urgent Care centers, rural clinics, and EDs where CT scanners aren't always the first line of defense. The platform also includes qER (for detecting brain bleeds and strokes on CT), qCT (for lung nodule quantification), and qMSK (for fracture detection), allowing health systems to deploy a single AI vendor for both their high-tech Trauma Centers and their low-tech Urgent Care clinics.

Viz Assist is an Agentic AI platform that acts as a digital resident. While the main Viz app is an imaging tool, Viz Assist ingests EMS notes, and listens to the patient encounter (Ambient Scribing) to draft complete history and physical (H&P) notes, discharge summaries, and neuro-specific procedural notes.

Viz.ai (Neuro) is the "Operating System" for modern stroke networks. It solves the deadly delay of "phone tag" between the ER, Radiology, and the Neurointerventionalist. By connecting directly to the CT scanner, it uses AI to detect time-sensitive pathologies (like Large Vessel Occlusions) in seconds and triggers a synchronous alert to the entire stroke team on their mobile phones. It effectively turns a linear workflow (Scan -> Read -> Call -> Page -> Call) into a parallel immediate response.

Glass Health is distinct from standard "search" tools. It is built to simulate a physician’s reasoning process. Instead of just finding a fact, it acts as a "second brain" for complex cases. You input a "Problem Representation" (e.g., 55y male, acute chest pain, normal EKG, tearing sensation), and Glass Health uses a specialized clinical knowledge graph to generate a prioritized Differential Diagnosis (DDx) and a drafted Assessment & Plan.

Doximity is the "Super-App" of healthcare. Doximity GPT is a feature embedded inside the Doximity app you already use to fax and call patients. Powered by the acquisition of 'Pathway', it now offers evidence-based clinical answers with citations. It also helps with administrative automation such as drafting prior authorization letters, patient education handouts, and referral notes in seconds.

OpenEvidence has evolved from a simple "Medical Search Engine" into a full-stack clinical assistant. While it remains the gold standard for answering complex clinical questions with peer-reviewed citations (NEJM, JAMA), OpenEvidence also now includes a suite of workflow tools designed to reduce administrative burnout. It can draft insurance appeal letters, generate patient education handouts, and even create board-style review questions for trainees, all grounded in verified medical literature rather than generic "black box" AI.

rater8 is the "Surgeon's Choice" for reputation management. Unlike Birdeye (which sells to plumbers and restaurants), rater8 was built exclusively for medical practices. Its philosophy is different: instead of just blasting patients for Google Reviews, it uses "Micro-Surveys" that are short, 3-question internal polls to capture clinical feedback (e.g., bedside manner) before asking for a public review. It is best known for its "Pollin8" algorithm, which intelligently spreads reviews across Google, Healthgrades, and Vitals so you don't look like a "fake" profile with 500 Google reviews and 0 on Healthgrades.

Birdeye is the "Command Center" for your practice’s online presence. It is an AI-driven platform that automates the terrifying process of getting reviews. Instead of hoping patients leave a review, Birdeye automatically texts them a review link right after their visit. It aggregates every review from Google, Facebook, Healthgrades, and Vitals into a single dashboard so you can reply to them all in one place. It effectively turns "Review Management" from a passive worry into an active marketing engine.