# Dashamlav AI

> Transforming Oncology through AI


## Posts

- [SCENARIO : OVERALL DATA ENTRY EFFICIENCY](https://dashamlavlabs.ai/scenario-overall-data-entry-efficiency/): SCENARIO : OVERALL DATA ENTRY EFFICIENCY REAL WORLD IMPACT: Overall Data Entry Easy & Highly Efficient Across Care Delivery Scenario : Data entry outside of the Radiation Oncology process [e.g., entering Dose-Volume Histogram (DVH) and chemotherapy drug data] is an onerous repeated & an error prone task. Efficient & Accurate: Out of the 12 total modules in the Dashamlav AI Suite, 9 took less than two minutes each to complete across all users and 7 took less than one minute. The average time taken for completing each patient’s chart (Median, IQR: 212 seconds, 54 – 427) is less than the
- [SCENARIO : PUBISHABLE RESARCH QUICK & INSIGHTFUL](https://dashamlavlabs.ai/scenario-pubishable-resarch-quick-insightful/): SCENARIO : PUBISHABLE RESARCH QUICK & INSIGHTFUL REAL WORLD IMPACT: High Quality Publishable Research based on Own DataScenario: The collation of acute toxicity data (for a specialty) takes over 4 months using paper charts – the norm for most clinicians’ experience of retrospective reviews. Impact: Using the Dashamlav AI Suite, demonstrated a new frontier where the data is entered contemporaneously with the assessment into a digital system according to the established classifications for toxicity. The collation of acute toxicity data (for a specialty) takes less than a few clicks of buttons (10 minutes) using Dashamlav AI Suite + This data
- [SCENARIO : ONCOLOGIST WORKLOAD REDUCTION](https://dashamlavlabs.ai/scenario-oncologist-workload-reduction/): SCENARIO : ONCOLOGIST WORKLOAD REDUCTION REAL WORLD IMPACT: Higher Patient Thruput, Higher Patient Facetime, Higher Quality Care Delivery Impact: From the oncologist’s perspective, using a structured workflow tool (Dashamlav AI Suite) creates high efficiency at the clinic / Hospital. This workload reduction ameliorates fatigue, burnout and reduces medical errors. From a hospital perspective, waiting rooms become less crowded, parking demands and overtime charges arising from clinics running late is reduced Scenario: Assume an oncologist-patient face-to-face time of 15 minutes, the time in clinic for an oncologist to see ten scheduled and two unscheduled patients is 368 minutes for conventional workflow
- [SCENARIO : OPD WAITING TIME REDUCTION](https://dashamlavlabs.ai/scenario-opd-waiting-time-reduction/): SCENARIO : OPD WAITING TIME REDUCTION REAL WORLD IMPACT: Higher number of Patients seen by Specialist, Care Delivery to Patient Assess impact of OncFlow software Vs traditional (physical files) – efficacy in streamlining patient management in the OPD setting. To measure the efficiency of OncFlow, patient waiting times were recorded from when the patient checked into the OPD to when the doctor called them in for a consultation. For physical file users, this included the time taken for ward assistants to retrieve & deliver the files to the doctors. For OncFlow users, the process involved entering the patient ID to
- [SCENARIO : TIME SAVED IN ROOT CAUSE ANALYSIS](https://dashamlavlabs.ai/scenario-time-saved-in-root-cause-analysis/): SCENARIO : TIME SAVED IN ROOT CAUSE ANALYSIS REAL WORLD IMPACT: On-Time Corrective Action, Uninterrupted Workflow, Machine Uptime, Care Delivery to Patient Scenario: In a oncology diagnostic and therapy department in a hospital (center) a troubling trend was observed. Several breast radiotherapy patients were experiencing severe grade 3 skin side effects. Problem: The investigation of root cause, and corrective action is typically a 2 week effort involving doctors and physics department. Solution: With our platform, they were able to quickly & easily access the relevant data for analysis and within just an hour, they had with them comprehensive, structured dataset
- [SCENARIO : IMPROVED QUALITY OF CARE BY ELIMINATING CARE PROVIDER PAIN POINTS & PATIENT PAIN POINTS](https://dashamlavlabs.ai/scenario-improved-quality-of-care-by-eliminating-care-provider-pain-points-patient-pain-points/): SCENARIO : IMPROVED QUALITY OF CARE BY ELIMINATING CARE PROVIDER PAIN POINTS & PATIENT PAIN POINTS REAL WORLD IMPACT: Standardized Care Protocols Increasing Quality of care Scale-up of imaging would avert 3.2% (2.46 million) of all cancer deaths between 2020-2030 Scale-up Imaging + Treatment + Care Quality would avert 12.5% of all deaths caused by the modeled cancers Delayed Diagnosis by 6 – 12 weeks increases risk of death by 9% Standardizing care protocols, increased overall quality-of-care scores by 11.9%, Diagnostic accuracy by 6.7%, a nearly 10%-point increase in evidence-based chemotherapy regimens and 56% increase in addressing palliative & a
- [AI-Powered Assistance in Oncology: Improving Patient Outcomes](https://dashamlavlabs.ai/ai-powered-assistance-in-oncology-improving-patient-outcomes/): AI-Powered Assistance in Oncology: Improving Patient Outcomes Artificial intelligence (AI) is a rapidly advancing technology making significant strides in oncology. As such, it is natural for oncologists to question whether their jobs are at risk. However, it is essential to understand that AI is best viewed as an assistive technology rather than a replacement for human doctors. In this post, we will discuss how AI is impacting oncology and the prospects for oncologists. One of the main challenges that oncologists face is the sheer volume of available evidence-based medicine data. Keeping up with the latest research and treatment options can
- [AI in Lung Cancer: Road Ahead](https://dashamlavlabs.ai/ai-in-lung-cancer-road-ahead/): AI in Lung Cancer: Road Ahead Artificial Intelligence (AI) is a branch of computer science that aims to create machines that can perform tasks that would typically require human intelligence, such as recognising speech, understanding natural language, and making decisions. AI can be divided into two main categories: narrow or weak AI, designed to perform a specific task, and general or strong AI, which can perform any intellectual task that a human can. There are various methods used in AI, including Machine Learning (ML), Natural Language Processing (NLP), and Deep Learning (DL). Machine Learning is teaching computers to learn from
- [AI From Theory to Clinics](https://dashamlavlabs.ai/ai-from-theory-to-clinics/): AI From Theory to Clinics Artificial intelligence (AI) is a reality seen in many apps and devices. It has made inroads into almost all the domains of life. To understand AI, we first must know that it’s much more than automation, which is not AI. Creating rules on historical data and then predicting the outcome is not an AI; it’s automation or advanced statistics. When laws are themselves figured out by algorithm when they are fed with historical data and their outcome, then it’s true AI. Healthcare DataTo make AI algorithms learn, we must train them. And for training, we
- [Medical Imaging-Based Artificial Intelligence: Handcrafted Features vs Deep Learning Approach](https://dashamlavlabs.ai/medical-imaging-based-artificial-intelligence-handcrafted-features-vs-deep-learning-approach/): Medical Imaging-Based Artificial Intelligence: Handcrafted Features vs Deep Learning Approach Introduction Medical imaging has revolutionized healthcare by providing valuable insights into various diseases and conditions. Medical imaging has witnessed significant transformations with artificial intelligence (AI) advancements. AI algorithms can now accurately analyze medical images, aiding diagnosis, treatment planning, and patient care. Two main approaches in medical imaging-based AI are handcrafted features and deep learning. In this blog post, we will explore these approaches’ key differences, advantages, and challenges. Handcrafted Features: Traditional Approach Handcrafted features involve extracting and engineering specific image attributes that are relevant to the task at hand. These
- [Digital Lethargy to AI-Enabled Healthcare: Why Doctor's Data Entry is the Unsung Hero of the Future?](https://dashamlavlabs.ai/digital-lethargy-to-ai-enabled-healthcare-why-doctors-data-entry-is-the-unsung-hero-of-the-future/): Digital Lethargy to AI-Enabled Healthcare: Why Doctor’s Data Entry is the Unsung Hero of the Future? In the hustle and bustle of India’s healthcare landscape, doctors often find solace in the familiarity of handwritten notes and paper files. This decades-old tradition considered quick and practical, contrasts sharply with the seemingly cumbersome process of digital data entry. “What’s the point?” they ask, “I’m not into research or paper writing.” But what if we told you that digitising patient records is not just a bureaucratic formality but the stepping stone to a future of AI-enabled healthcare? Let’s delve into this. Immediate Fruits
- [The Dawn of Generative AI in Oncology: A New Paradigm for Data-Driven Insight and Personalised Care](https://dashamlavlabs.ai/the-dawn-of-generative-ai-in-oncology-a-new-paradigm-for-data-driven-insight-and-personalised-care/): The Dawn of Generative AI in Oncology: A New Paradigm for Data-Driven Insight and Personalised Care Generative AI: Beyond Analytics While the analytical capabilities of AI in sifting through enormous datasets are widely acknowledged, generative AI takes this a step further. It interprets data, predicts future developments, and simulates scenarios, offering new ways to understand complex diseases like cancer. Whether optimising drug combinations or providing personalised treatment plans, generative AI’s potential seems limitless. Real-Time Insights during Data Entry One of the most ground-breaking applications of generative AI in oncology is the ability to offer real-time insights during data entry. When
- [From X-Rays to AI: The Remarkable Journey of Radiation Therapy](https://dashamlavlabs.ai/from-x-rays-to-ai-the-remarkable-journey-of-radiation-therapy/): From X-Rays to AI: The Remarkable Journey of Radiation Therapy The Evolution of Radiotherapy: A Brief Overview X-rays were discovered by German physicist Wilhelm Roentgen in 1895, and In the early 1900s, doctors began using radiation to treat cancer, but they didn’t know much about how it worked. They used X-rays and a radioactive material called radium to kill cancer cells. The problem was that they couldn’t adequately aim the radiation, which often harmed healthy tissue. Fast forward to the 1950s, and things started to get better. New machines were invented that allowed doctors to aim radiation beams from outside
- [Unlocking the Potential of AI in Cancer Care with Real Data for Enhanced Harmony in Healthcare.](https://dashamlavlabs.ai/unlocking-the-potential-of-ai-in-cancer-care-with-real-data-for-enhanced-harmony-in-healthcare/): Unlocking the Potential of AI in Cancer Care with Real Data for Enhanced Harmony in Healthcare. At the dynamic intersection of technology and healthcare, the integration of artificial intelligence (AI) in cancer care is not only revolutionising medical practice but is also driving profound connections between social impact and business opportunity. In this article, we explore the multifaceted implications of AI, which extend beyond therapeutic protocols to include patient communication, wellness, and the transformative power of real-world data is a critical factor that adds depth and relevance to the evolving landscape of cancer care. 1. Precision Care: Improve Patient Outcomes,

## Pages

- [Schedule Demo](https://dashamlavlabs.ai/schedule-demo/): Schedule Your OncFlow Demo See how OncFlow automates TNM staging, case summaries, and guideline integration for oncology workflows. What You’ll See ✓ 30-minute personalized walkthrough ✓ Automated TNM staging and case summaries ✓ Published guideline integration ✓ Q&A with our clinical team Prefer email? info@dashamlavlabs.ai Choose Your Time
- [testicons](https://dashamlavlabs.ai/testicons/): ☰ Home Platform OncFlow AI-driven Oncology Workflow: Diagnosis, Staging, and Treatment MedCompass Mobile app for Physicians to manage Oncology Workflow PulseDash Patient-facing mobile app for care navigation Resources Case Studies News and Insights Security And Compliance Publications Our Story Schedule Demo
- [X Oncflow-cards](https://dashamlavlabs.ai/x-oncflow-cards/): OncFlow™ Your AI-powered clinical workflow for automated TNM staging, intelligent pathology analysis, and comprehensive case documentation. Save hours on every case. ✓ Aligned with AJCC 8th Edition ✓ 14,000+ Patients on Platform ✓ 98% Staging Accuracy The Challenge Documentation Overload Is Slowing You Down Every oncologist faces the same time-consuming tasks that pull you away from patient care 20 min Manual TNM Staging Reading through 15-page pathology reports at midnight, extracting tumor size, lymph node involvement, and metastasis status—hoping you don’t miss a critical detail. 15 min Case Summary Creation Synthesizing patient history, imaging findings, pathology details, and molecular markers
- [testoncflow](https://dashamlavlabs.ai/testoncflow/): OncFlow® Your AI-powered clinical workflow—reviewed and validated by you—for TNM staging, intelligent pathology analysis, and comprehensive case documentation. Save hours on every case. ✓ Latest AJCC Staging by Cancer Type ✓ 14,000+ Patients on Platform ✓ 98% Staging Accuracy The Challenge Documentation Overload Is Slowing You Down Administrative burden is growing 5.4% annually—faster than actual patient care costs. OncFlow gives you those hours back. 45 min Manual TNM Staging Reading through 15-page pathology reports at midnight, extracting tumor size, lymph node involvement, and metastasis status—hoping you don’t miss a critical detail. 30 min Case Summary Creation Synthesizing patient history, imaging
- [testhome1](https://dashamlavlabs.ai/testhome1/): Turn Oncology’s Data Complexity Into Clinical Clarity Automated TNM staging aligned with AJCC guidelines, instant case summaries, pathology report analysis, and published treatment pathway integration that saves hours on every case. Designed by oncologists · AJCC-aligned · Trusted by 150+ oncologists and clinicians Watch 2-Min Demo Schedule Demo 150+ Daily Clinical Users 40% Less Documentation Time 2-3 hrs Saved Every Day 14000+ Patients on the Platform Used by Oncologists at: The Challenge The Daily Frustrations We Solved Every oncologist faces these moments. We built Exactis because we lived them ourselves. Busy OPD Setting “Patient arrives with 15-page HPE report. You
- [testhome](https://dashamlavlabs.ai/testhome/): Turn Oncology’s Data Complexity Into Clinical Clarity Automated TNM staging aligned with AJCC guidelines, instant case summaries, pathology analysis, and published treatment pathway integration that saves hours on every case. Designed by oncologists · AJCC-aligned · Trusted by 70+ oncologists Watch 2-Min Demo Schedule Demo 150+ Daily Clinical Users 40% Less Documentation Time 2-3 hrs Saved Every Day 14000+ Patients on the Platform Used by Oncologists at: The Challenge The Daily Frustrations We Solved Every oncologist faces these moments. We built Exactis because we lived them ourselves. Busy OPD Setting “Patient arrives with 15-page HPE report. You need T3N1M0, biomarkers,
- [teststory](https://dashamlavlabs.ai/teststory/): Built by Oncologists, for Oncologists Where Clinical Expertise Meets AI Innovation Two practicing oncologists saw the daily struggle with data complexity and built the solution they wish they’d always had Our Story Built by Oncologists Who Lived These Problems Our story started with a simple frustration that every researcher-clinician knows too well The Problem As practicing oncologists who publish research, we kept hitting the same wall: every clinical question meant months of manual chart review. Did this regimen work for Stage IIIB patients? How did DVH parameters correlate with toxicity? Simple questions. Months to answer. Because hospital EMRs can’t answer
- [Case Studies](https://dashamlavlabs.ai/case-studies/): Real Impact in Oncology Care See how leading oncology departments use Dashamlav to improve clinical efficiency, patient outcomes, and care delivery through intelligent automation Reducing DIBH Assessment from 3 Days to 1 with Machine Learning Predictive analytics streamline breast cancer treatment eligibility Specialty Radiation Oncology Challenge Multi-day DIBH assessments delayed treatment Solution ML model in OncFlow platform Result 3 days → 1 day eligibility decision The Challenge Deep Inspiration Breath Hold (DIBH) reduces cardiac radiation exposure in left-sided breast cancer patients. However, traditional eligibility assessment required three consecutive days of coaching and testing—creating patient burden and capacity constraints. Patients traveling
- [FAQ](https://dashamlavlabs.ai/faq/): Frequently Asked Questions Find answers to common questions about our AI-powered oncology workflow platform General Questions What is Dashamlav AI Labs? + Dashamlav AI Labs develops AI-powered workflow automation tools specifically for oncology practices. Our platform—designed by practicing oncologists—uses advanced algorithms, real-world data (RWD), and patient-reported outcome measures (PROMs) to generate real-world evidence (RWE) that supports clinical decisions, automates documentation, and enables research. What makes Dashamlav different from other healthcare AI companies? + We’re built by oncologists who lived these problems. Our founders are practicing radiation oncologists with 70+ combined years of clinical experience who designed every feature to address
- [Medcompass](https://dashamlavlabs.ai/medcompass/): MedCompass® MedCompass® is specifically tailored to enhance the operational efficiency of doctors and healthcare teams through meticulous management of patient tasks and statuses. Get In Touch Real-Time Workflow Coordination ‹ › 1 Whenever there is an update in a patient’s simulation status, MedCompass® promptly notifies all relevant team members, thereby keeping the entire care team synchronized. 2 This real-time update system is crucial for maintaining high standards of patient care and ensuring that critical information is shared promptly among healthcare professionals. 3 MedCompass®, navigating the complexities of Oncology Workflow becomes straightforward, enabling better coordinated and timely medical interventions. 4 By
- [PulseDash](https://dashamlavlabs.ai/pulsedash/): PulseDash® Give your patients a voice in their oncology care journey. PulseDash makes it easy for patients to report side effects, understand medical reports in their preferred language, and stay connected with your care team—while giving you real-time visibility into their symptoms for timely clinical intervention. Get In Touch Patient-Centered Symptom Reporting ‹ › 1 PulseDash gives you an active voice in your oncology care journey. Report side effects as they happen, understand your medical reports in your preferred language, and stay connected with your oncology team—all from your phone. 2 Upload blood tests, pathology reports, and imaging summaries to
- [OncFlow](https://dashamlavlabs.ai/oncflow/): OncFlow® Your AI-powered clinical workflow—grounded in your patient’s complete medical record—for TNM staging, intelligent pathology analysis, and comprehensive case documentation. Every output derived from your patient’s actual reports, not generic medical knowledge. Save hours on every case. ✓ Latest AJCC Staging by Cancer Type ✓ 14,000+ Patients on Platform ✓ 98% Staging Accuracy The Challenge Documentation Overload Is Slowing You Down Administrative burden is growing 5.4% annually—faster than actual patient care costs. OncFlow gives you those hours back. 45 min Manual TNM Staging Reading through 15-page pathology reports at midnight, extracting tumor size, lymph node involvement, and metastasis status—hoping you
- [Security And Compliance](https://dashamlavlabs.ai/security-compliance/): Security & Compliance Enterprise-grade security and HIPAA-compliant infrastructure built specifically for oncology practices. Your patient data deserves the same level of care you provide. Our Commitment Security Built Into Every Layer As practicing oncologists, we understand that patient data isn’t just information—it’s deeply personal medical history that patients trust us to protect. Security and compliance were foundational principles from day one, not afterthoughts. Every oncology record contains sensitive information: diagnosis details, genetic markers, treatment histories, imaging studies, and outcomes data. This data must be protected not just to comply with regulations, but because it’s the right thing to do for
- [X - OncFlow R+](https://dashamlavlabs.ai/oncflow-r/): OncFlow R+™ Comprehensive Oncology Workflow Management Transform raw data into actionable insights, empowering you to deliver more personalized and effective care to your oncology patients “Don’t just implement AI, Optimize it with DashamlavAI Advisory Services.” In today’s data-driven healthcare landscape, oncology practices need powerful tools to unlock the insights hidden within their patient data. DashamlavAI’s advanced analytics offering provides you with cutting-edge AI capabilities to transform your practice. See OncFlow R+ In Action Comprehensive workflow from diagnosis to treatment planning ‹ › Unlock the Power of Your Oncology Data DashamlavAI’s advanced analytics capabilities help you deliver better patient outcomes through
- [News Insights](https://dashamlavlabs.ai/news-insights/): News & Insights Where AI Meets Healthcare Latest updates from Dashamlav and insights into the future of AI in oncology Company News & Events Recent highlights from conferences, competitions, and industry recognition March 2026 OncFlow Listed in the National Cancer Grid’s Digital Health Solutions Library OncFlow has been listed in the Digital Health Solutions Library (DHSL) of the National Cancer Grid (NCG), established by Tata Memorial Centre — India’s foremost cancer care and research institution. The NCG’s DHSL recognises digital health solutions operating across oncology care pathways, and Dashamlav joins a curated set of platforms being made visible to NCG’s
- [Contact Us](https://dashamlavlabs.ai/contact-us/): Get In Touch We’re Here to Help Whether you’re exploring our platform, need support, or want to collaborate—we’d love to hear from you Sales & Support Exploring our platform or need assistance? Our team is here to help—whether you’re evaluating Dashamlav for your practice or need technical support with the platform. Partnership Opportunities Building a stronger oncology ecosystem. We believe in the power of collaboration with healthcare institutions, research organizations, and technology partners. Research & Contributions Share your expertise and ideas. Connect with fellow oncology professionals and contribute to advancing AI-powered cancer care. Contact Information Feel free to reach out
- [Patents Publications](https://dashamlavlabs.ai/patents-publications/): Patents & Publications Advancing Cancer Care Through Research & Innovation Our commitment to advancing cancer care through AI research, validated clinical studies, and our patent portfolio. Research Publications Peer-reviewed research advancing AI and precision radiotherapy in oncology Machine learning model for predicting DIBH non-eligibility in left-sided breast cancer radiotherapy Radiotherapy and Oncology April 2025 Developed and validated a machine learning model that predicts patient eligibility for Deep Inspiration Breath-Hold (DIBH) radiotherapy using only first-day assessment data. In a prospective study of 202 patients, the model reduced the need for time-consuming multi-day assessments by 20% while maintaining high prediction accuracy—demonstrating how
- [OurStory](https://dashamlavlabs.ai/about-us/): Built by Oncologists, for Oncologists Where Clinical Expertise Meets AI Innovation Two practicing oncologists saw the daily struggle with data complexity and built the solution they wish they’d always had Our Story Built by Oncologists Who Lived These Problems Our story started with a simple frustration that every researcher-clinician knows too well The Problem As practicing oncologists who publish research, we kept hitting the same wall: every clinical question meant months of manual chart review. Did this regimen work for Stage IIIB patients? How did DVH parameters correlate with toxicity? Simple questions. Months to answer. Because hospital EMRs can’t answer
- [testpulse](https://dashamlavlabs.ai/test-pulse/): PulseDash® Give your patients a voice in their radiation therapy journey. PulseDash makes it easy for patients to report side effects, understand medical reports in their preferred language, and stay connected with your care team—while giving you real-time visibility into their symptoms for timely clinical intervention. Get In Touch Download Brochure Product Video Patient-Centered Symptom Reporting ‹ › 1 PulseDash gives you an active voice in your radiation therapy care. Report side effects as they happen, understand your medical reports in your preferred language, and stay connected with your oncology team—all from your phone. 2 Upload blood tests, pathology reports,
- [Home Page](https://dashamlavlabs.ai/): Turn Oncology’s Data Complexity Into Clinical Clarity Automated TNM staging aligned with AJCC guidelines, instant case summaries, pathology report analysis, and published treatment pathway integration that saves hours on every case. Designed by oncologists · AJCC-aligned · Trusted by 150+ oncologists and clinicians Watch 2-Min Overview Schedule Demo 150+Daily Clinical Users 40%Less Documentation Time 2-3 hrsSaved Every Day 21000+Patients on the Platform Used by Oncologists at: The Challenge The Daily Frustrations We Solved Every oncologist faces these moments. We built Dashamlav because we lived them ourselves. Busy OPD Setting “Patient arrives with pathology, imaging, and lab reports spanning 15+ pages.


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